2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los...

85

Transcript of 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los...

Page 1: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

October 2009

Prepared by

STARCREST CONSULTING GROUP LLC PO Box 434

Poulsbo WA 98370

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

TABLE OF CONTENTS

EXECUTIVE SUMMARY 1

ES1 Study Domains 1

ES2 Carbon Footprint Summary 6

SECTION 1 INTRODUCTION 9

11 Background 9

12 Purpose of Study 9

13 Cargo Movements Included 10

14 Greenhouse Gases 10

15 The Bigger Picture Goods Movement amp Climate Change 11

16 Climate Change Regulations amp Initiatives 13

17 GHG Scopes 15

18 Existing Port Inventories 16

19 Geographical Extents 18

191 Ocean-Going Vessels amp Harbor Craft 19 192 Heavy-Duty Vehicles amp Rail Locomotives 20 193 Cargo Handling Equipment 20 194 Ocean-Going Vessels 22 195 On-Road Heavy-Duty Vehicles 23 196 Railroad Locomotives 24

SECTION 2 OCEAN-GOING VESSELS 26

21 Activity 26

22 Methodology 33

23 Emissions Estimates 38

24 Facts amp Findings 42

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

SECTION 3 HEAVY-DUTY VEHICLES 43

31 Activity 43

32 Methodology 46

33 Emissions Estimates 47

34 Facts amp Findings 49

SECTION 4 RAIL LOCOMOTIVES 51

41 Activity 51

42 Methodology 53

43 Emissions Estimates 56

44 Facts amp Findings 58

SECTION 5 PORT-RELATED DIRECT FOOTPRINT 60

APPENDIX A - OGV ROUTE DISTANCES

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

LIST OF FIGURES

Figure ES1 2006 Port-wide GHG Emission Scopes 1 Figure ES2 South Coast Air Basin-Boundary 2 Figure ES3 Maritime Sources Geographical Extent 3 Figure ES4 2006 OGV Routes To and From the Por 4 Figure ES5 Major Onroad Heavy-Duty Vehicle Routes from SoCAB Boundary to 600 Miles 5 Figure ES6 Main Railways Traveled by BNSF and UP from the Port 5 Figure ES7 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category 6 Figure ES8 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution 7 Figure ES9 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution 8 Figure 11 Energy Demand Example Trans Pacific Transit from Shanghai to Los Angeles 12 Figure 12 2006 Port-wide GHG Emission Scopes 16 Figure 13 2006 Port Regional CO2E Contributions by Source Category 18 Figure 14 Maritime Sources Geographical Extent 19 Figure 15 South Coast Air Basin Regional Boundary 20 Figure 16 Port Boundary Study Area 21 Figure 17 2006 Expanded GHG Inventory OGV Domain 22 Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles 23 Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles 24 Figure 21 2006 Distribution of Arrivals by Country of Origin 28 Figure 22 2006 Distribution of Departures by Destination Country 30 Figure 23 2006 OGV Routes To and From the Port 31 Figure 24 2006 OGV Emissions Distribution by Domain 42 Figure 31 Population Centers along Major Routes Beyond SoCAB 44 Figure 32 2006 HDV Emissions Distribution by Domain 49 Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons 50 Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California 51 Figure 42 BNSF Travel Volume per Main Route 52 Figure 43 2006 Rail Emissions Distribution by Domain 58 Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination metric tons 59 Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category 62 Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution 63 Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution 64

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

LIST OF TABLES

Table ES1 2006 Port-Related GHG Emissions Scopes 1 2 amp 3 6 Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals 27 (In-Bound Activities) 27 Table 22 2006 Ranking of Destination Ports by Frequency of Departures 29 (Out-Bound Activities) 29 Table 23 Total OGV Movements for 2006 32 Table 24 2006 Auxiliary Engine Power and Load Defaults 35 Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr 37 Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil gkW-hr 37 Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls 39 Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions 40 Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain 41 Table 210 2006 Total Port-Related OGV GHG Emissions by Domain 41 Table 31 Routes Major OriginsDestinations and Maximum Distances 44 Table 32 Route Distribution Percentages 45 Table 33 Route Distribution ndash Number of Trips 45 Table 34 HDV Greenhouse Gas Emission Factors gmile 46 Table 35 2006 Total Expanded HDV Emissions by Route 47 Table 36 2006 Total In-Bound Expanded HDV Emissions by Route 48 Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route 48 Table 38 2006 Total Port-Related HDV GHG Emissions by Domain 49 Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006 53 Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr 54 Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates 55 (per year) 55 Table 44 2006 Total Expanded Class 1 Line-Haul Emissions 56 Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions 57 Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions 57 Table 47 2006 Total Port-Related Rail GHG Emissions by Domain 58 Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions 60 Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions 61 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain 62 Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions 64

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 1 October 2009

EXECUTIVE SUMMARY This document presents the evaluation of an expanded greenhouse gas (GHG) emissions domain associated with 2006 goods movements directly linked with the Port of Los Angeles (Port) Traditionally the annual Port-related emission evaluations have been focused on a regional level within the South Coast Air Basin (SoCAB) With this study the Port has expanded the scope of those evaluations to a national scale for trucks and rail and a global scale for ships The study includes all three Scopes of GHG emission sources Scope 1 includes Port municipal operational emissions Scope 2 includes emissions associated with Port municipal energy consumption and Scope 3 primarily includes tenant operations and energy consumption related emissions as illustrated in Figure ES1

Figure ES1 2006 Port-wide GHG Emission Scopes

Scope 3 sources include the mobile operational equipment used by the tenants and shipping companies to move cargo through the Port to its final destination These mobile sources include ocean-going vessels (OGVs) heavy-duty vehicles (HDVs or trucks) cargo handling equipment (CHE) harbor craft (HC) and rail locomotives Of these sources OGVs HDVs and rail locomotives travel beyond the regional South Coast domain Port employee vehicles are also considered under Scope 3 ES1 Study Domains

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 2 October 2009

The Port-related GHG emission sources operate in three distinct geographical domains that are used to quantify activity and related emissions These domains are

South Coast Air Basin In-State Out-of-State

SoCAB Domain The SoCAB is the regional domain that is used for the annual tenant operations and includes both a land and over-water boundary The municipal GHG inventory domain is limited to Port boundaries also within the SoCAB The SoCAB land domain is presented in Figure ES2 and includes all or part of four counties Los Angeles County Riverside County Orange County and San Bernardino County

Figure ES2 South Coast Air Basin-Boundary

The SoCAB over-water boundary extends from the Ventura and Orange County lines to the western edge of the California Waters (dark blue box) as presented in Figure ES3

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 3 October 2009

Figure ES3 Maritime Sources Geographical Extent

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond it

In-State Domain The in-state domain also includes a land and over-water boundary The land boundary for this study is entire State of California outside the SoCAB boundary (to avoid double counting) The over-water boundary defined by the California Air Resources Board (CARB) is 24 nautical miles (nm) off the California Coast Again to avoid double counting for this study the ldquoIn-Staterdquo over-water boundary is the area out to 24 nm from the coast outside the SoCAB boundary (as presented in Figure ES3 above)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 4 October 2009

Out-of-State Domain The out-of-state domain also includes over-water and land components The out-of-state domainrsquos over-water component encompasses the worldrsquos oceans ndash over which ships travel to and from the Port The 2006 ship routes therefore define the OGV out-of-state domain as presented in Figure ES4

Figure ES4 2006 OGV Routes To and From the Port

The out-of-state domainrsquos land component is made up of the HDV and rail locomotive domains Trucks are typically cost competitive with rail within 600 miles from point of origin so the HDV domain is a 600 mile arc from the Port as shown in Figure ES5

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 5 October 2009

Figure ES5 Major Onroad Heavy-Duty Vehicle Routes from SoCAB Boundary to 600 Miles

The out-of-state rail locomotive domain component is out along the tracks to the major distribution centers from Los Angeles as shown in Figure ES6

Figure ES6 Main Railways Traveled by BNSF and UP from the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 6 October 2009

ES2 Carbon Footprint Summary The 2006 combined emissions footprint for Port-related GHG emissions for all three Scopes is presented in Table ES1

Table ES1 2006 Port-Related GHG Emissions Scopes 1 2 amp 3

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions The distribution of Scopes 1 2 amp 3 emissions by source types is presented in Figure ES7

Figure ES7 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 7 October 2009

The total 2006 Port-related GHG emission distribution by domain (SoCAB in-state out-of-state) is presented in Figure ES8

Figure ES8 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 8 October 2009

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories falls within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 emission distribution for the State of California is presented in Figure ES9

Figure ES9 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 9 October 2009

SECTION 1 INTRODUCTION This document presents the evaluation of an expanded Greenhouse Gas (GHG) emissions domain associated with goods movements directly linked with the Port of Los Angeles (Port) Traditionally the Port-related emission evaluations have been focused on a regional level With this study the Port has moved those evaluations to a national scale for trucks and rail and a global scale for ships 11 Background The Port is the largest container port in the United States accounting for 847 million twenty-foot equivalents (TEUs) of cargo movement in the year 2006 Although recent economic conditions have led to a decrease in cargo throughput economic forecasts suggest that demand for containerized cargo moving through the Port will increase in coming years In order to meet containerized cargo demand and practice sound environmental stewardship the Port has implemented the preparation of annual activity-based emission inventories (EIs) to monitor changes in Port-related emissions over time These inventories are based on detailed activity data and are state-of-the-art for Port-related sources To ensure that the methods and results continue to represent the best methods in emissions inventory development the Port works with a Technical Working Group (TWG) consisting of staff of the California Air Resources Board (CARB) South Coast Air Quality Management District (SCAQMD) and the United States Environmental Protection Agency (EPA) While the EI reports provide an in-depth analysis of Port-related emissions within the SoCAB the Port is now evaluating a much broader national and global geographical domain While the study domain for this report is much broader the emissions analysis is narrower focusing only on GHGs As concern over climate change increases quantification of anthropogenic GHG emissions has become a necessary first step towards reducing the emissions that cause it

12 Purpose of Study

The purpose of this study is to quantify the greater GHG emissions associated with international goods movement directly associated with the Port by expanding the geographical domain nationally and internationally This report combines the existing regional (SoCAB) level inventories with estimates of the international and national emissions associated with those regional activities for the baseline year of 2006 Emissions associated with the regional level of activity come directly from the published 2006 Port estimates that are described in Section 15 below This expanded GHG inventory contains new emission estimates from the expanded geographical extent for the following three source categories that operate beyond the regional domain

Ocean-going vessels Heavy-duty vehicles Rail locomotives

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 10 October 2009

13 Cargo Movements Included For activities beyond the existing geographical boundaries of the annual inventories emissions are estimated from cargo movements within the following geographical extents

Ocean-going vessels All ships inbound and outbound to and from the Port from the shiprsquos originating port or next port of call as described in Section 2 of this report

Heavy-duty vehicles (trucks) inbound and outbound truck movements to and from the Port to population centers within 600 miles of the Port as described in Section 3 of this report

Rail locomotives All Union Pacific (UP) and Burlington Northern Santa Fe (BNSF) (Class 1) inbound and outbound rail movements to and from the Port to major rail cargo destinations as described in Section 4 of this report

The cargo movements that are included in this expanded GHG inventory only represent the direct movements to or from the Port They are not intended to represent the greater international goods movement within the SoCAB or the expanded geographical area An example where this distinction is important is with container ships Most ships follow trans-Pacific routes to the Port directly from Asia and then go to other west coast ports such as Oakland Seattle Tacoma etc The reverse can be true where the ship first arrives from a trans-Pacific voyage at one of these other west coast ports comes to the Port and then returns to Asia Therefore the majority of arrival and departures directly associated with the Port do not include two trans-Pacific legs A significant amount of cargo movement is indirectly associated with international goods movement but not directly related to the Port An example would be imported goods that have been removed from international shipping containers to be distributed from transloading centers and repackaged into domestic trailers for local or regional transport The movement of these goods after the transloading facility is not included in the expanded Port greenhouse gas emissions inventory

14 Greenhouse Gases

Climate change is a global concern During the 20th century global average temperatures increased about one degree centigrade Over the next 100 years temperatures are likely to increase another two to ten degrees centigrade Climate models show that this overall increase in temperature will cause dramatic changes to regional climates and increase the instance and intensity of severe weather events

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 11 October 2009

GHGs are gases present in the earths atmosphere that reduce the loss of heat into space GHGs primarily include water vapor carbon dioxide (CO2) methane (CH4) nitrous oxide (N2O) and certain fluorinated gases used in commercial and industrial applications GHGs affect climate as they concentrate in the Earthrsquos atmosphere and trap heat by blocking some of the long-wave energy normally radiated back into space While some GHGs occur naturally there is widespread agreement among climate scientists worldwide that human activity is increasing the GHGs in the Earthrsquos atmosphere and accelerating global warming and the accompanying changes in climate patterns that accompany it Activities that release GHGs into the air include those that occur in and around a port setting such as the burning of fossil fuels for industrial operations transportation heating and electricity The potential consequences of global warming to Los Angeles include longer and hotter summers longer droughts more devastating wildfires and shortages of public water all of which threaten public health and the economy 15 The Bigger Picture Goods Movement amp Climate Change Traditionally air quality efforts in Southern California and the United States have focused on pollutants that impact the local or regional populations With respect to climate change emissions released anywhere along the goods movement logistic chains can have a negative impact on GHG concentrations globally meaning itrsquos not just a local concern When estimating the Port-related GHG emissions from goods movement activities that pass directly through Port the expanded geographical domain of those activities brings into focus a significant source that is not accounted for in local or regional inventories

This is particularly acute in Ocean-going Vessel (OGV) inventories For example when looking at the emissions covered in the existing Port tenantsrsquo inventories only the local energy demand of ships calling on the Port is estimated In this local domain the ship is typically transitioning from sea speed to maneuvering speeds and operations at-berth (when the propulsion engines are off) The same activities are evaluated on the Asian side as a local concern of the people there However the significant majority of a vesselrsquos energy demand (which is directly related to emissions) occurs during the trans-Pacific leg (international) and is not included in the local inventories It is during this international phase that the shiprsquos energy demand is at its highest because the propulsion engine(s) is operating at its highest level and transiting time is significantly longer than the shiprsquos time at berth This is illustrated in Figure 11

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 12 October 2009

0

5

10

15

20

25

30

35

40

45

Ene

rgy

Dem

and

(MW

)

Energy (MW) 2 5 7 4 2

Ber

th

Men

uv -

Dep

art

PZM

enuv

-Ar

riva

lB

erth

LA

LocalInternationalLocal

41

Trans Pacific

Tran

s

18

Tran

s

17

Figure 11 Energy Demand Example Trans Pacific Transit from Shanghai to Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 13 October 2009

This study represents the first detailed Port-related evaluation of GHG emission levels from ships arriving and departing from their previous and next port respectfully The results of this study can be used to frame further carbon footprinting discussions on domain and sources contributions associated with ports

16 Climate Change Regulations amp Initiatives California has been the leading the nation in developing a regulatory mechanism to respond to the threat of climate change The California Global Warming Solutions Act of 2006 is the first comprehensive climate change regulation in the United States Internationally the International Maritime Organization (IMO) is currently working on greenhouse gas indexing of ships and potential engine and fuel standards targeting these pollutants Also on the international front the International Association of Ports and Harbors (IAPH) board recently signed the World Ports Climate Initiative (WPCI) The IAPH environmental subcommittee held its first symposium in Los Angeles in November 2008 in support of the WPCI and to start work on the initiatives associated with the WPCI More on these initiatives are provided below

The California Global Warming Solutions Act ndash Assembly Bill 32 Assembly Bill 32 (AB 32) the California Global Warming Solutions Act of 2006 establishes a first-in-the world comprehensive program requiring the CARB to develop regulatory and market mechanisms that will ultimately reduce GHG emissions to 1990 levels by the year 2020 and reduce emissions to 80 percent below 1990 levels by 2050 Mandatory caps will begin in 2012 for significant sources and ratchet down to meet the 2020 goals In the interim CARB will begin to measure the GHG emissions of industries determined to be significant sources In December 2008 CARB approved a Climate Change Scoping Plan to achieve the reductions in GHG emissions mandated in AB 32 The AB 32 Scoping Plan contains the main strategies that California will use to reduce GHG emissions Several of these measures are targeted at goods movement including Port-related goods movement and are expected to achieve a combined 37 million metric tons of carbon dioxide equivalent Proposed goods movement measures in the Scoping Plan include

T-5 Ship electrification at ports (previously adopted as regulation in December

2007) T-6 Goods movement efficiency measures

CARB has set guidelines on emission sources or ldquoScopesrdquo which ports and port tenants should include in determining their carbon footprint as well as the geographical domain for the State of California These guidelines are discussed further in Section 17

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 14 October 2009

IMO Greenhouse Gases Initiatives IMOrsquos Maritime Environmental Protection Committee (MEPC) is currently working on developing ldquocoherent and comprehensive future IMO regulatory framework on GHG emissions from shipsrdquo This regulatory framework is scheduled to be presented at the Copenhagen Conference in December 2009 In October 2008 MEPC voted unanimously to approve more stringent marine fuel sulfur limits expanded pollutant Emission Control Areas (ECAs) and marine engine standards These requirements tightened down the existing Annex VI regulations that had been previously adopted In March 2009 the United States and Canada jointly proposed to IMOrsquos MEPC the designation of an ECA for specified portions of the United States and Canadian coastal waters If approved the designation will require all vessels operating within the ECA (whether or not destined for either country) to reduce emissions IAPH World Ports Climate Initiative The principal objective of the IAPH is to develop and foster good relations and cooperation among ports and harbors worldwide by providing a forum to exchange opinions and share experiences on the latest trends of Port management and operations IAPH strives to emphasize and promote the fact that Ports form a vital link in the waterborne transportation of goods and play a vital role in todays global economy IAPH is committed to the protection of environment viewing it as an indispensable element of sustainable economic growth Dr Geraldine Knatz Executive Director of the Port of Los Angeles chairs the IAPH Environmental Committee Recognized as the only international organization representing the voice of the world port industry IAPH is granted Consultative Status as a Non-Governmental Organization (NGO) from five United Nations (UN) specialized agencies and one intergovernmental body

UN Economic and Social Council (ECOSOC) International Maritime Organization (IMO) UN Conference on Trade and Development (UNCTAD) UN Environment Programme (UNEP) International Labour Office (ILO) World Customs Organization (WCO)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 15 October 2009

In July 2008 55 member ports (including the Port) adopted the World Ports Climate Declaration which calls for member and non-member ports to work together through the forum provided by IAPH to address climate change issues One of the key components is for ports to share their best practices and experiences with the worldrsquos ports and various concerned parties One of the focuses of this initiative (one that the Port has volunteered to coordinate) is carbon footprinting associated with Port-related sources (Scopes 1-3) This document provides a broader domain evaluation to help facilitate those discussions and provide context to the greater carbon footprint associated with international goods movement 17 GHG Scopes The 2006 Port-wide GHG emissions are categorized based on the GHG emission scopes as defined under the International Council for Local Environmental Initiatives (ICLEI) Local Government Operations Protocol1 as illustrated in Figure 12 Scope 1 includes all direct GHG emissions from the Portrsquos municipally-controlled stationary and mobile sources Examples of Scope 1 sources include Port-owned fleet vehicles stationary generators and buildings (ie natural gas combustion) Scope 2 consists of indirect GHG emissions associated with the import and consumption of purchased electricity by the Port for its municipally-controlled sources (ie electricity used in Port-owned buildings and operations) Scope 3 emissions include Port tenantsrsquo direct emissions from stationary sources (ie natural gas combustion in buildings) mobile sources (ie ships trucks rail cargo handling equipment and harbor craft) and indirect source emissions associated with purchased electricity (ie buildings electric wharf cranes etc) Scope 3 primarily accounts for emissions associated with the operation of Port tenants Port employee vehicles are also considered under Scope 3 Scope 3 emissions are significantly higher than Scope 1 and 2 emissions In fact within a regional context Scope 3 emissions are greater than 99 percent of total municipally-related GHG emissions As geographical extents are expanded Scope 3 emissions can approach nearly 100 percent of the GHG emissions associated with good movement through a port Although inclusion of Scope 3 emissions in the Portrsquos GHG inventory is not mandatory under the Local Government Operations Protocol the expanded inventory will provide an opportunity for overall understanding quantification and context of GHG emissions associated with goods movement operations In addition since the Port has the most comprehensive data sets associated with Port tenant operations it presents the Port with the opportunity to make higher resolution estimates of its related Scope 3 emissions

1 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emissions inventories Version 10 CARB September 25 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 16 October 2009

Figure 12 2006 Port-wide GHG Emission Scopes

As in the annual emissions inventories the Port publishes this report catalogues Scope 3 emissions that are directly related to the Port specifically focusing on ship truck and train emissions outside of the SoCAB This report significantly broadens the geographical extent of the existing inventory domains as described below in the document 18 Existing Port Inventories

The Port has developed two inventories covering all three emission source Scopes Tenantsrsquo non-road mobile operational emissions have been quantified annually starting in 2001 focusing on Scope 3 mobile emissions sources Also starting in 2006 the Port started to quantify Scope 1 and 2 emissions (excluding Port tenantrsquos emissions) as part of its joining the California Climate Action Registry (CCAR)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 17 October 2009

Scope 3 - Annual Tenant Mobile Operations Inventories The Port began developing inventories for calendar year 2001 with annual updates beginning with the 2005 inventory It is currently conducting the 2008 inventory effort These inventories maximize the use of real and local data to minimize activity assumptions They involve intensive data collection efforts that include support from the Port tenants the Southern California Marine Exchange and numerous other sources The inventories are coordinated with and reviewed by CARB SCAQMD and EPA to ensure estimating methods are consistent with the latest acceptable practices Through this process the Port the tenants and the regulatory agencies are better informed on the activities and emissions associated with goods movement These annual inventories focus on Scope 3 emission categories including

Ocean-Going Vessels (OGVs) Harbor Craft (HC) Cargo Handling Equipment (CHE) Heavy-Duty Vehicles (HDVs) Rail Locomotives (RL)

The geographical domain for these source categories is regional and described fully in Section 19 below

In 2001 and 2005 emission estimates were focused on diesel particulate matter (DPM) particulate matter less than 25 and 10 microns (PM25 amp PM10) oxides of nitrogen oxides (NOx) of sulfur (SOx) carbon monoxide (CO) and hydrocarbons Starting with the 2006 inventories greenhouse gases were included into the suite of pollutants evaluated due to the rising interest in climate change Greenhouse gases that are included are CO2 CH4 and N2O which are rolled up into CO2 equivalents (CO2E)

Scopes 1 amp 2 ndash California Climate Action Registry Inventory The Port joined the CCAR in 2006 and as part of that commitment the Port submits annual inventories that cover Scope 1 and 2 emissions The CCAR inventories include the following emission sources

Scope 1 The Portrsquos municipal stationary sources (buildings stationary generators) and municipal mobile sources (on-road and non-road fleet vehicles)

Scope 2 The Portrsquos municipal electricity imports Emissions are estimated and submitted to the CCAR for public posting The geographical extent is limited to the Portrsquos municipally-controlled property

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 2: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

TABLE OF CONTENTS

EXECUTIVE SUMMARY 1

ES1 Study Domains 1

ES2 Carbon Footprint Summary 6

SECTION 1 INTRODUCTION 9

11 Background 9

12 Purpose of Study 9

13 Cargo Movements Included 10

14 Greenhouse Gases 10

15 The Bigger Picture Goods Movement amp Climate Change 11

16 Climate Change Regulations amp Initiatives 13

17 GHG Scopes 15

18 Existing Port Inventories 16

19 Geographical Extents 18

191 Ocean-Going Vessels amp Harbor Craft 19 192 Heavy-Duty Vehicles amp Rail Locomotives 20 193 Cargo Handling Equipment 20 194 Ocean-Going Vessels 22 195 On-Road Heavy-Duty Vehicles 23 196 Railroad Locomotives 24

SECTION 2 OCEAN-GOING VESSELS 26

21 Activity 26

22 Methodology 33

23 Emissions Estimates 38

24 Facts amp Findings 42

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

SECTION 3 HEAVY-DUTY VEHICLES 43

31 Activity 43

32 Methodology 46

33 Emissions Estimates 47

34 Facts amp Findings 49

SECTION 4 RAIL LOCOMOTIVES 51

41 Activity 51

42 Methodology 53

43 Emissions Estimates 56

44 Facts amp Findings 58

SECTION 5 PORT-RELATED DIRECT FOOTPRINT 60

APPENDIX A - OGV ROUTE DISTANCES

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

LIST OF FIGURES

Figure ES1 2006 Port-wide GHG Emission Scopes 1 Figure ES2 South Coast Air Basin-Boundary 2 Figure ES3 Maritime Sources Geographical Extent 3 Figure ES4 2006 OGV Routes To and From the Por 4 Figure ES5 Major Onroad Heavy-Duty Vehicle Routes from SoCAB Boundary to 600 Miles 5 Figure ES6 Main Railways Traveled by BNSF and UP from the Port 5 Figure ES7 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category 6 Figure ES8 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution 7 Figure ES9 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution 8 Figure 11 Energy Demand Example Trans Pacific Transit from Shanghai to Los Angeles 12 Figure 12 2006 Port-wide GHG Emission Scopes 16 Figure 13 2006 Port Regional CO2E Contributions by Source Category 18 Figure 14 Maritime Sources Geographical Extent 19 Figure 15 South Coast Air Basin Regional Boundary 20 Figure 16 Port Boundary Study Area 21 Figure 17 2006 Expanded GHG Inventory OGV Domain 22 Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles 23 Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles 24 Figure 21 2006 Distribution of Arrivals by Country of Origin 28 Figure 22 2006 Distribution of Departures by Destination Country 30 Figure 23 2006 OGV Routes To and From the Port 31 Figure 24 2006 OGV Emissions Distribution by Domain 42 Figure 31 Population Centers along Major Routes Beyond SoCAB 44 Figure 32 2006 HDV Emissions Distribution by Domain 49 Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons 50 Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California 51 Figure 42 BNSF Travel Volume per Main Route 52 Figure 43 2006 Rail Emissions Distribution by Domain 58 Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination metric tons 59 Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category 62 Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution 63 Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution 64

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

LIST OF TABLES

Table ES1 2006 Port-Related GHG Emissions Scopes 1 2 amp 3 6 Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals 27 (In-Bound Activities) 27 Table 22 2006 Ranking of Destination Ports by Frequency of Departures 29 (Out-Bound Activities) 29 Table 23 Total OGV Movements for 2006 32 Table 24 2006 Auxiliary Engine Power and Load Defaults 35 Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr 37 Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil gkW-hr 37 Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls 39 Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions 40 Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain 41 Table 210 2006 Total Port-Related OGV GHG Emissions by Domain 41 Table 31 Routes Major OriginsDestinations and Maximum Distances 44 Table 32 Route Distribution Percentages 45 Table 33 Route Distribution ndash Number of Trips 45 Table 34 HDV Greenhouse Gas Emission Factors gmile 46 Table 35 2006 Total Expanded HDV Emissions by Route 47 Table 36 2006 Total In-Bound Expanded HDV Emissions by Route 48 Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route 48 Table 38 2006 Total Port-Related HDV GHG Emissions by Domain 49 Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006 53 Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr 54 Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates 55 (per year) 55 Table 44 2006 Total Expanded Class 1 Line-Haul Emissions 56 Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions 57 Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions 57 Table 47 2006 Total Port-Related Rail GHG Emissions by Domain 58 Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions 60 Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions 61 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain 62 Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions 64

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 1 October 2009

EXECUTIVE SUMMARY This document presents the evaluation of an expanded greenhouse gas (GHG) emissions domain associated with 2006 goods movements directly linked with the Port of Los Angeles (Port) Traditionally the annual Port-related emission evaluations have been focused on a regional level within the South Coast Air Basin (SoCAB) With this study the Port has expanded the scope of those evaluations to a national scale for trucks and rail and a global scale for ships The study includes all three Scopes of GHG emission sources Scope 1 includes Port municipal operational emissions Scope 2 includes emissions associated with Port municipal energy consumption and Scope 3 primarily includes tenant operations and energy consumption related emissions as illustrated in Figure ES1

Figure ES1 2006 Port-wide GHG Emission Scopes

Scope 3 sources include the mobile operational equipment used by the tenants and shipping companies to move cargo through the Port to its final destination These mobile sources include ocean-going vessels (OGVs) heavy-duty vehicles (HDVs or trucks) cargo handling equipment (CHE) harbor craft (HC) and rail locomotives Of these sources OGVs HDVs and rail locomotives travel beyond the regional South Coast domain Port employee vehicles are also considered under Scope 3 ES1 Study Domains

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 2 October 2009

The Port-related GHG emission sources operate in three distinct geographical domains that are used to quantify activity and related emissions These domains are

South Coast Air Basin In-State Out-of-State

SoCAB Domain The SoCAB is the regional domain that is used for the annual tenant operations and includes both a land and over-water boundary The municipal GHG inventory domain is limited to Port boundaries also within the SoCAB The SoCAB land domain is presented in Figure ES2 and includes all or part of four counties Los Angeles County Riverside County Orange County and San Bernardino County

Figure ES2 South Coast Air Basin-Boundary

The SoCAB over-water boundary extends from the Ventura and Orange County lines to the western edge of the California Waters (dark blue box) as presented in Figure ES3

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 3 October 2009

Figure ES3 Maritime Sources Geographical Extent

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond it

In-State Domain The in-state domain also includes a land and over-water boundary The land boundary for this study is entire State of California outside the SoCAB boundary (to avoid double counting) The over-water boundary defined by the California Air Resources Board (CARB) is 24 nautical miles (nm) off the California Coast Again to avoid double counting for this study the ldquoIn-Staterdquo over-water boundary is the area out to 24 nm from the coast outside the SoCAB boundary (as presented in Figure ES3 above)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 4 October 2009

Out-of-State Domain The out-of-state domain also includes over-water and land components The out-of-state domainrsquos over-water component encompasses the worldrsquos oceans ndash over which ships travel to and from the Port The 2006 ship routes therefore define the OGV out-of-state domain as presented in Figure ES4

Figure ES4 2006 OGV Routes To and From the Port

The out-of-state domainrsquos land component is made up of the HDV and rail locomotive domains Trucks are typically cost competitive with rail within 600 miles from point of origin so the HDV domain is a 600 mile arc from the Port as shown in Figure ES5

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 5 October 2009

Figure ES5 Major Onroad Heavy-Duty Vehicle Routes from SoCAB Boundary to 600 Miles

The out-of-state rail locomotive domain component is out along the tracks to the major distribution centers from Los Angeles as shown in Figure ES6

Figure ES6 Main Railways Traveled by BNSF and UP from the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 6 October 2009

ES2 Carbon Footprint Summary The 2006 combined emissions footprint for Port-related GHG emissions for all three Scopes is presented in Table ES1

Table ES1 2006 Port-Related GHG Emissions Scopes 1 2 amp 3

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions The distribution of Scopes 1 2 amp 3 emissions by source types is presented in Figure ES7

Figure ES7 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 7 October 2009

The total 2006 Port-related GHG emission distribution by domain (SoCAB in-state out-of-state) is presented in Figure ES8

Figure ES8 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 8 October 2009

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories falls within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 emission distribution for the State of California is presented in Figure ES9

Figure ES9 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 9 October 2009

SECTION 1 INTRODUCTION This document presents the evaluation of an expanded Greenhouse Gas (GHG) emissions domain associated with goods movements directly linked with the Port of Los Angeles (Port) Traditionally the Port-related emission evaluations have been focused on a regional level With this study the Port has moved those evaluations to a national scale for trucks and rail and a global scale for ships 11 Background The Port is the largest container port in the United States accounting for 847 million twenty-foot equivalents (TEUs) of cargo movement in the year 2006 Although recent economic conditions have led to a decrease in cargo throughput economic forecasts suggest that demand for containerized cargo moving through the Port will increase in coming years In order to meet containerized cargo demand and practice sound environmental stewardship the Port has implemented the preparation of annual activity-based emission inventories (EIs) to monitor changes in Port-related emissions over time These inventories are based on detailed activity data and are state-of-the-art for Port-related sources To ensure that the methods and results continue to represent the best methods in emissions inventory development the Port works with a Technical Working Group (TWG) consisting of staff of the California Air Resources Board (CARB) South Coast Air Quality Management District (SCAQMD) and the United States Environmental Protection Agency (EPA) While the EI reports provide an in-depth analysis of Port-related emissions within the SoCAB the Port is now evaluating a much broader national and global geographical domain While the study domain for this report is much broader the emissions analysis is narrower focusing only on GHGs As concern over climate change increases quantification of anthropogenic GHG emissions has become a necessary first step towards reducing the emissions that cause it

12 Purpose of Study

The purpose of this study is to quantify the greater GHG emissions associated with international goods movement directly associated with the Port by expanding the geographical domain nationally and internationally This report combines the existing regional (SoCAB) level inventories with estimates of the international and national emissions associated with those regional activities for the baseline year of 2006 Emissions associated with the regional level of activity come directly from the published 2006 Port estimates that are described in Section 15 below This expanded GHG inventory contains new emission estimates from the expanded geographical extent for the following three source categories that operate beyond the regional domain

Ocean-going vessels Heavy-duty vehicles Rail locomotives

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 10 October 2009

13 Cargo Movements Included For activities beyond the existing geographical boundaries of the annual inventories emissions are estimated from cargo movements within the following geographical extents

Ocean-going vessels All ships inbound and outbound to and from the Port from the shiprsquos originating port or next port of call as described in Section 2 of this report

Heavy-duty vehicles (trucks) inbound and outbound truck movements to and from the Port to population centers within 600 miles of the Port as described in Section 3 of this report

Rail locomotives All Union Pacific (UP) and Burlington Northern Santa Fe (BNSF) (Class 1) inbound and outbound rail movements to and from the Port to major rail cargo destinations as described in Section 4 of this report

The cargo movements that are included in this expanded GHG inventory only represent the direct movements to or from the Port They are not intended to represent the greater international goods movement within the SoCAB or the expanded geographical area An example where this distinction is important is with container ships Most ships follow trans-Pacific routes to the Port directly from Asia and then go to other west coast ports such as Oakland Seattle Tacoma etc The reverse can be true where the ship first arrives from a trans-Pacific voyage at one of these other west coast ports comes to the Port and then returns to Asia Therefore the majority of arrival and departures directly associated with the Port do not include two trans-Pacific legs A significant amount of cargo movement is indirectly associated with international goods movement but not directly related to the Port An example would be imported goods that have been removed from international shipping containers to be distributed from transloading centers and repackaged into domestic trailers for local or regional transport The movement of these goods after the transloading facility is not included in the expanded Port greenhouse gas emissions inventory

14 Greenhouse Gases

Climate change is a global concern During the 20th century global average temperatures increased about one degree centigrade Over the next 100 years temperatures are likely to increase another two to ten degrees centigrade Climate models show that this overall increase in temperature will cause dramatic changes to regional climates and increase the instance and intensity of severe weather events

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 11 October 2009

GHGs are gases present in the earths atmosphere that reduce the loss of heat into space GHGs primarily include water vapor carbon dioxide (CO2) methane (CH4) nitrous oxide (N2O) and certain fluorinated gases used in commercial and industrial applications GHGs affect climate as they concentrate in the Earthrsquos atmosphere and trap heat by blocking some of the long-wave energy normally radiated back into space While some GHGs occur naturally there is widespread agreement among climate scientists worldwide that human activity is increasing the GHGs in the Earthrsquos atmosphere and accelerating global warming and the accompanying changes in climate patterns that accompany it Activities that release GHGs into the air include those that occur in and around a port setting such as the burning of fossil fuels for industrial operations transportation heating and electricity The potential consequences of global warming to Los Angeles include longer and hotter summers longer droughts more devastating wildfires and shortages of public water all of which threaten public health and the economy 15 The Bigger Picture Goods Movement amp Climate Change Traditionally air quality efforts in Southern California and the United States have focused on pollutants that impact the local or regional populations With respect to climate change emissions released anywhere along the goods movement logistic chains can have a negative impact on GHG concentrations globally meaning itrsquos not just a local concern When estimating the Port-related GHG emissions from goods movement activities that pass directly through Port the expanded geographical domain of those activities brings into focus a significant source that is not accounted for in local or regional inventories

This is particularly acute in Ocean-going Vessel (OGV) inventories For example when looking at the emissions covered in the existing Port tenantsrsquo inventories only the local energy demand of ships calling on the Port is estimated In this local domain the ship is typically transitioning from sea speed to maneuvering speeds and operations at-berth (when the propulsion engines are off) The same activities are evaluated on the Asian side as a local concern of the people there However the significant majority of a vesselrsquos energy demand (which is directly related to emissions) occurs during the trans-Pacific leg (international) and is not included in the local inventories It is during this international phase that the shiprsquos energy demand is at its highest because the propulsion engine(s) is operating at its highest level and transiting time is significantly longer than the shiprsquos time at berth This is illustrated in Figure 11

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 12 October 2009

0

5

10

15

20

25

30

35

40

45

Ene

rgy

Dem

and

(MW

)

Energy (MW) 2 5 7 4 2

Ber

th

Men

uv -

Dep

art

PZM

enuv

-Ar

riva

lB

erth

LA

LocalInternationalLocal

41

Trans Pacific

Tran

s

18

Tran

s

17

Figure 11 Energy Demand Example Trans Pacific Transit from Shanghai to Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 13 October 2009

This study represents the first detailed Port-related evaluation of GHG emission levels from ships arriving and departing from their previous and next port respectfully The results of this study can be used to frame further carbon footprinting discussions on domain and sources contributions associated with ports

16 Climate Change Regulations amp Initiatives California has been the leading the nation in developing a regulatory mechanism to respond to the threat of climate change The California Global Warming Solutions Act of 2006 is the first comprehensive climate change regulation in the United States Internationally the International Maritime Organization (IMO) is currently working on greenhouse gas indexing of ships and potential engine and fuel standards targeting these pollutants Also on the international front the International Association of Ports and Harbors (IAPH) board recently signed the World Ports Climate Initiative (WPCI) The IAPH environmental subcommittee held its first symposium in Los Angeles in November 2008 in support of the WPCI and to start work on the initiatives associated with the WPCI More on these initiatives are provided below

The California Global Warming Solutions Act ndash Assembly Bill 32 Assembly Bill 32 (AB 32) the California Global Warming Solutions Act of 2006 establishes a first-in-the world comprehensive program requiring the CARB to develop regulatory and market mechanisms that will ultimately reduce GHG emissions to 1990 levels by the year 2020 and reduce emissions to 80 percent below 1990 levels by 2050 Mandatory caps will begin in 2012 for significant sources and ratchet down to meet the 2020 goals In the interim CARB will begin to measure the GHG emissions of industries determined to be significant sources In December 2008 CARB approved a Climate Change Scoping Plan to achieve the reductions in GHG emissions mandated in AB 32 The AB 32 Scoping Plan contains the main strategies that California will use to reduce GHG emissions Several of these measures are targeted at goods movement including Port-related goods movement and are expected to achieve a combined 37 million metric tons of carbon dioxide equivalent Proposed goods movement measures in the Scoping Plan include

T-5 Ship electrification at ports (previously adopted as regulation in December

2007) T-6 Goods movement efficiency measures

CARB has set guidelines on emission sources or ldquoScopesrdquo which ports and port tenants should include in determining their carbon footprint as well as the geographical domain for the State of California These guidelines are discussed further in Section 17

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 14 October 2009

IMO Greenhouse Gases Initiatives IMOrsquos Maritime Environmental Protection Committee (MEPC) is currently working on developing ldquocoherent and comprehensive future IMO regulatory framework on GHG emissions from shipsrdquo This regulatory framework is scheduled to be presented at the Copenhagen Conference in December 2009 In October 2008 MEPC voted unanimously to approve more stringent marine fuel sulfur limits expanded pollutant Emission Control Areas (ECAs) and marine engine standards These requirements tightened down the existing Annex VI regulations that had been previously adopted In March 2009 the United States and Canada jointly proposed to IMOrsquos MEPC the designation of an ECA for specified portions of the United States and Canadian coastal waters If approved the designation will require all vessels operating within the ECA (whether or not destined for either country) to reduce emissions IAPH World Ports Climate Initiative The principal objective of the IAPH is to develop and foster good relations and cooperation among ports and harbors worldwide by providing a forum to exchange opinions and share experiences on the latest trends of Port management and operations IAPH strives to emphasize and promote the fact that Ports form a vital link in the waterborne transportation of goods and play a vital role in todays global economy IAPH is committed to the protection of environment viewing it as an indispensable element of sustainable economic growth Dr Geraldine Knatz Executive Director of the Port of Los Angeles chairs the IAPH Environmental Committee Recognized as the only international organization representing the voice of the world port industry IAPH is granted Consultative Status as a Non-Governmental Organization (NGO) from five United Nations (UN) specialized agencies and one intergovernmental body

UN Economic and Social Council (ECOSOC) International Maritime Organization (IMO) UN Conference on Trade and Development (UNCTAD) UN Environment Programme (UNEP) International Labour Office (ILO) World Customs Organization (WCO)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 15 October 2009

In July 2008 55 member ports (including the Port) adopted the World Ports Climate Declaration which calls for member and non-member ports to work together through the forum provided by IAPH to address climate change issues One of the key components is for ports to share their best practices and experiences with the worldrsquos ports and various concerned parties One of the focuses of this initiative (one that the Port has volunteered to coordinate) is carbon footprinting associated with Port-related sources (Scopes 1-3) This document provides a broader domain evaluation to help facilitate those discussions and provide context to the greater carbon footprint associated with international goods movement 17 GHG Scopes The 2006 Port-wide GHG emissions are categorized based on the GHG emission scopes as defined under the International Council for Local Environmental Initiatives (ICLEI) Local Government Operations Protocol1 as illustrated in Figure 12 Scope 1 includes all direct GHG emissions from the Portrsquos municipally-controlled stationary and mobile sources Examples of Scope 1 sources include Port-owned fleet vehicles stationary generators and buildings (ie natural gas combustion) Scope 2 consists of indirect GHG emissions associated with the import and consumption of purchased electricity by the Port for its municipally-controlled sources (ie electricity used in Port-owned buildings and operations) Scope 3 emissions include Port tenantsrsquo direct emissions from stationary sources (ie natural gas combustion in buildings) mobile sources (ie ships trucks rail cargo handling equipment and harbor craft) and indirect source emissions associated with purchased electricity (ie buildings electric wharf cranes etc) Scope 3 primarily accounts for emissions associated with the operation of Port tenants Port employee vehicles are also considered under Scope 3 Scope 3 emissions are significantly higher than Scope 1 and 2 emissions In fact within a regional context Scope 3 emissions are greater than 99 percent of total municipally-related GHG emissions As geographical extents are expanded Scope 3 emissions can approach nearly 100 percent of the GHG emissions associated with good movement through a port Although inclusion of Scope 3 emissions in the Portrsquos GHG inventory is not mandatory under the Local Government Operations Protocol the expanded inventory will provide an opportunity for overall understanding quantification and context of GHG emissions associated with goods movement operations In addition since the Port has the most comprehensive data sets associated with Port tenant operations it presents the Port with the opportunity to make higher resolution estimates of its related Scope 3 emissions

1 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emissions inventories Version 10 CARB September 25 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 16 October 2009

Figure 12 2006 Port-wide GHG Emission Scopes

As in the annual emissions inventories the Port publishes this report catalogues Scope 3 emissions that are directly related to the Port specifically focusing on ship truck and train emissions outside of the SoCAB This report significantly broadens the geographical extent of the existing inventory domains as described below in the document 18 Existing Port Inventories

The Port has developed two inventories covering all three emission source Scopes Tenantsrsquo non-road mobile operational emissions have been quantified annually starting in 2001 focusing on Scope 3 mobile emissions sources Also starting in 2006 the Port started to quantify Scope 1 and 2 emissions (excluding Port tenantrsquos emissions) as part of its joining the California Climate Action Registry (CCAR)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 17 October 2009

Scope 3 - Annual Tenant Mobile Operations Inventories The Port began developing inventories for calendar year 2001 with annual updates beginning with the 2005 inventory It is currently conducting the 2008 inventory effort These inventories maximize the use of real and local data to minimize activity assumptions They involve intensive data collection efforts that include support from the Port tenants the Southern California Marine Exchange and numerous other sources The inventories are coordinated with and reviewed by CARB SCAQMD and EPA to ensure estimating methods are consistent with the latest acceptable practices Through this process the Port the tenants and the regulatory agencies are better informed on the activities and emissions associated with goods movement These annual inventories focus on Scope 3 emission categories including

Ocean-Going Vessels (OGVs) Harbor Craft (HC) Cargo Handling Equipment (CHE) Heavy-Duty Vehicles (HDVs) Rail Locomotives (RL)

The geographical domain for these source categories is regional and described fully in Section 19 below

In 2001 and 2005 emission estimates were focused on diesel particulate matter (DPM) particulate matter less than 25 and 10 microns (PM25 amp PM10) oxides of nitrogen oxides (NOx) of sulfur (SOx) carbon monoxide (CO) and hydrocarbons Starting with the 2006 inventories greenhouse gases were included into the suite of pollutants evaluated due to the rising interest in climate change Greenhouse gases that are included are CO2 CH4 and N2O which are rolled up into CO2 equivalents (CO2E)

Scopes 1 amp 2 ndash California Climate Action Registry Inventory The Port joined the CCAR in 2006 and as part of that commitment the Port submits annual inventories that cover Scope 1 and 2 emissions The CCAR inventories include the following emission sources

Scope 1 The Portrsquos municipal stationary sources (buildings stationary generators) and municipal mobile sources (on-road and non-road fleet vehicles)

Scope 2 The Portrsquos municipal electricity imports Emissions are estimated and submitted to the CCAR for public posting The geographical extent is limited to the Portrsquos municipally-controlled property

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 3: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

SECTION 3 HEAVY-DUTY VEHICLES 43

31 Activity 43

32 Methodology 46

33 Emissions Estimates 47

34 Facts amp Findings 49

SECTION 4 RAIL LOCOMOTIVES 51

41 Activity 51

42 Methodology 53

43 Emissions Estimates 56

44 Facts amp Findings 58

SECTION 5 PORT-RELATED DIRECT FOOTPRINT 60

APPENDIX A - OGV ROUTE DISTANCES

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

LIST OF FIGURES

Figure ES1 2006 Port-wide GHG Emission Scopes 1 Figure ES2 South Coast Air Basin-Boundary 2 Figure ES3 Maritime Sources Geographical Extent 3 Figure ES4 2006 OGV Routes To and From the Por 4 Figure ES5 Major Onroad Heavy-Duty Vehicle Routes from SoCAB Boundary to 600 Miles 5 Figure ES6 Main Railways Traveled by BNSF and UP from the Port 5 Figure ES7 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category 6 Figure ES8 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution 7 Figure ES9 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution 8 Figure 11 Energy Demand Example Trans Pacific Transit from Shanghai to Los Angeles 12 Figure 12 2006 Port-wide GHG Emission Scopes 16 Figure 13 2006 Port Regional CO2E Contributions by Source Category 18 Figure 14 Maritime Sources Geographical Extent 19 Figure 15 South Coast Air Basin Regional Boundary 20 Figure 16 Port Boundary Study Area 21 Figure 17 2006 Expanded GHG Inventory OGV Domain 22 Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles 23 Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles 24 Figure 21 2006 Distribution of Arrivals by Country of Origin 28 Figure 22 2006 Distribution of Departures by Destination Country 30 Figure 23 2006 OGV Routes To and From the Port 31 Figure 24 2006 OGV Emissions Distribution by Domain 42 Figure 31 Population Centers along Major Routes Beyond SoCAB 44 Figure 32 2006 HDV Emissions Distribution by Domain 49 Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons 50 Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California 51 Figure 42 BNSF Travel Volume per Main Route 52 Figure 43 2006 Rail Emissions Distribution by Domain 58 Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination metric tons 59 Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category 62 Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution 63 Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution 64

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

LIST OF TABLES

Table ES1 2006 Port-Related GHG Emissions Scopes 1 2 amp 3 6 Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals 27 (In-Bound Activities) 27 Table 22 2006 Ranking of Destination Ports by Frequency of Departures 29 (Out-Bound Activities) 29 Table 23 Total OGV Movements for 2006 32 Table 24 2006 Auxiliary Engine Power and Load Defaults 35 Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr 37 Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil gkW-hr 37 Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls 39 Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions 40 Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain 41 Table 210 2006 Total Port-Related OGV GHG Emissions by Domain 41 Table 31 Routes Major OriginsDestinations and Maximum Distances 44 Table 32 Route Distribution Percentages 45 Table 33 Route Distribution ndash Number of Trips 45 Table 34 HDV Greenhouse Gas Emission Factors gmile 46 Table 35 2006 Total Expanded HDV Emissions by Route 47 Table 36 2006 Total In-Bound Expanded HDV Emissions by Route 48 Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route 48 Table 38 2006 Total Port-Related HDV GHG Emissions by Domain 49 Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006 53 Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr 54 Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates 55 (per year) 55 Table 44 2006 Total Expanded Class 1 Line-Haul Emissions 56 Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions 57 Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions 57 Table 47 2006 Total Port-Related Rail GHG Emissions by Domain 58 Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions 60 Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions 61 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain 62 Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions 64

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 1 October 2009

EXECUTIVE SUMMARY This document presents the evaluation of an expanded greenhouse gas (GHG) emissions domain associated with 2006 goods movements directly linked with the Port of Los Angeles (Port) Traditionally the annual Port-related emission evaluations have been focused on a regional level within the South Coast Air Basin (SoCAB) With this study the Port has expanded the scope of those evaluations to a national scale for trucks and rail and a global scale for ships The study includes all three Scopes of GHG emission sources Scope 1 includes Port municipal operational emissions Scope 2 includes emissions associated with Port municipal energy consumption and Scope 3 primarily includes tenant operations and energy consumption related emissions as illustrated in Figure ES1

Figure ES1 2006 Port-wide GHG Emission Scopes

Scope 3 sources include the mobile operational equipment used by the tenants and shipping companies to move cargo through the Port to its final destination These mobile sources include ocean-going vessels (OGVs) heavy-duty vehicles (HDVs or trucks) cargo handling equipment (CHE) harbor craft (HC) and rail locomotives Of these sources OGVs HDVs and rail locomotives travel beyond the regional South Coast domain Port employee vehicles are also considered under Scope 3 ES1 Study Domains

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 2 October 2009

The Port-related GHG emission sources operate in three distinct geographical domains that are used to quantify activity and related emissions These domains are

South Coast Air Basin In-State Out-of-State

SoCAB Domain The SoCAB is the regional domain that is used for the annual tenant operations and includes both a land and over-water boundary The municipal GHG inventory domain is limited to Port boundaries also within the SoCAB The SoCAB land domain is presented in Figure ES2 and includes all or part of four counties Los Angeles County Riverside County Orange County and San Bernardino County

Figure ES2 South Coast Air Basin-Boundary

The SoCAB over-water boundary extends from the Ventura and Orange County lines to the western edge of the California Waters (dark blue box) as presented in Figure ES3

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 3 October 2009

Figure ES3 Maritime Sources Geographical Extent

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond it

In-State Domain The in-state domain also includes a land and over-water boundary The land boundary for this study is entire State of California outside the SoCAB boundary (to avoid double counting) The over-water boundary defined by the California Air Resources Board (CARB) is 24 nautical miles (nm) off the California Coast Again to avoid double counting for this study the ldquoIn-Staterdquo over-water boundary is the area out to 24 nm from the coast outside the SoCAB boundary (as presented in Figure ES3 above)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 4 October 2009

Out-of-State Domain The out-of-state domain also includes over-water and land components The out-of-state domainrsquos over-water component encompasses the worldrsquos oceans ndash over which ships travel to and from the Port The 2006 ship routes therefore define the OGV out-of-state domain as presented in Figure ES4

Figure ES4 2006 OGV Routes To and From the Port

The out-of-state domainrsquos land component is made up of the HDV and rail locomotive domains Trucks are typically cost competitive with rail within 600 miles from point of origin so the HDV domain is a 600 mile arc from the Port as shown in Figure ES5

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 5 October 2009

Figure ES5 Major Onroad Heavy-Duty Vehicle Routes from SoCAB Boundary to 600 Miles

The out-of-state rail locomotive domain component is out along the tracks to the major distribution centers from Los Angeles as shown in Figure ES6

Figure ES6 Main Railways Traveled by BNSF and UP from the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 6 October 2009

ES2 Carbon Footprint Summary The 2006 combined emissions footprint for Port-related GHG emissions for all three Scopes is presented in Table ES1

Table ES1 2006 Port-Related GHG Emissions Scopes 1 2 amp 3

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions The distribution of Scopes 1 2 amp 3 emissions by source types is presented in Figure ES7

Figure ES7 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 7 October 2009

The total 2006 Port-related GHG emission distribution by domain (SoCAB in-state out-of-state) is presented in Figure ES8

Figure ES8 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 8 October 2009

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories falls within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 emission distribution for the State of California is presented in Figure ES9

Figure ES9 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 9 October 2009

SECTION 1 INTRODUCTION This document presents the evaluation of an expanded Greenhouse Gas (GHG) emissions domain associated with goods movements directly linked with the Port of Los Angeles (Port) Traditionally the Port-related emission evaluations have been focused on a regional level With this study the Port has moved those evaluations to a national scale for trucks and rail and a global scale for ships 11 Background The Port is the largest container port in the United States accounting for 847 million twenty-foot equivalents (TEUs) of cargo movement in the year 2006 Although recent economic conditions have led to a decrease in cargo throughput economic forecasts suggest that demand for containerized cargo moving through the Port will increase in coming years In order to meet containerized cargo demand and practice sound environmental stewardship the Port has implemented the preparation of annual activity-based emission inventories (EIs) to monitor changes in Port-related emissions over time These inventories are based on detailed activity data and are state-of-the-art for Port-related sources To ensure that the methods and results continue to represent the best methods in emissions inventory development the Port works with a Technical Working Group (TWG) consisting of staff of the California Air Resources Board (CARB) South Coast Air Quality Management District (SCAQMD) and the United States Environmental Protection Agency (EPA) While the EI reports provide an in-depth analysis of Port-related emissions within the SoCAB the Port is now evaluating a much broader national and global geographical domain While the study domain for this report is much broader the emissions analysis is narrower focusing only on GHGs As concern over climate change increases quantification of anthropogenic GHG emissions has become a necessary first step towards reducing the emissions that cause it

12 Purpose of Study

The purpose of this study is to quantify the greater GHG emissions associated with international goods movement directly associated with the Port by expanding the geographical domain nationally and internationally This report combines the existing regional (SoCAB) level inventories with estimates of the international and national emissions associated with those regional activities for the baseline year of 2006 Emissions associated with the regional level of activity come directly from the published 2006 Port estimates that are described in Section 15 below This expanded GHG inventory contains new emission estimates from the expanded geographical extent for the following three source categories that operate beyond the regional domain

Ocean-going vessels Heavy-duty vehicles Rail locomotives

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 10 October 2009

13 Cargo Movements Included For activities beyond the existing geographical boundaries of the annual inventories emissions are estimated from cargo movements within the following geographical extents

Ocean-going vessels All ships inbound and outbound to and from the Port from the shiprsquos originating port or next port of call as described in Section 2 of this report

Heavy-duty vehicles (trucks) inbound and outbound truck movements to and from the Port to population centers within 600 miles of the Port as described in Section 3 of this report

Rail locomotives All Union Pacific (UP) and Burlington Northern Santa Fe (BNSF) (Class 1) inbound and outbound rail movements to and from the Port to major rail cargo destinations as described in Section 4 of this report

The cargo movements that are included in this expanded GHG inventory only represent the direct movements to or from the Port They are not intended to represent the greater international goods movement within the SoCAB or the expanded geographical area An example where this distinction is important is with container ships Most ships follow trans-Pacific routes to the Port directly from Asia and then go to other west coast ports such as Oakland Seattle Tacoma etc The reverse can be true where the ship first arrives from a trans-Pacific voyage at one of these other west coast ports comes to the Port and then returns to Asia Therefore the majority of arrival and departures directly associated with the Port do not include two trans-Pacific legs A significant amount of cargo movement is indirectly associated with international goods movement but not directly related to the Port An example would be imported goods that have been removed from international shipping containers to be distributed from transloading centers and repackaged into domestic trailers for local or regional transport The movement of these goods after the transloading facility is not included in the expanded Port greenhouse gas emissions inventory

14 Greenhouse Gases

Climate change is a global concern During the 20th century global average temperatures increased about one degree centigrade Over the next 100 years temperatures are likely to increase another two to ten degrees centigrade Climate models show that this overall increase in temperature will cause dramatic changes to regional climates and increase the instance and intensity of severe weather events

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 11 October 2009

GHGs are gases present in the earths atmosphere that reduce the loss of heat into space GHGs primarily include water vapor carbon dioxide (CO2) methane (CH4) nitrous oxide (N2O) and certain fluorinated gases used in commercial and industrial applications GHGs affect climate as they concentrate in the Earthrsquos atmosphere and trap heat by blocking some of the long-wave energy normally radiated back into space While some GHGs occur naturally there is widespread agreement among climate scientists worldwide that human activity is increasing the GHGs in the Earthrsquos atmosphere and accelerating global warming and the accompanying changes in climate patterns that accompany it Activities that release GHGs into the air include those that occur in and around a port setting such as the burning of fossil fuels for industrial operations transportation heating and electricity The potential consequences of global warming to Los Angeles include longer and hotter summers longer droughts more devastating wildfires and shortages of public water all of which threaten public health and the economy 15 The Bigger Picture Goods Movement amp Climate Change Traditionally air quality efforts in Southern California and the United States have focused on pollutants that impact the local or regional populations With respect to climate change emissions released anywhere along the goods movement logistic chains can have a negative impact on GHG concentrations globally meaning itrsquos not just a local concern When estimating the Port-related GHG emissions from goods movement activities that pass directly through Port the expanded geographical domain of those activities brings into focus a significant source that is not accounted for in local or regional inventories

This is particularly acute in Ocean-going Vessel (OGV) inventories For example when looking at the emissions covered in the existing Port tenantsrsquo inventories only the local energy demand of ships calling on the Port is estimated In this local domain the ship is typically transitioning from sea speed to maneuvering speeds and operations at-berth (when the propulsion engines are off) The same activities are evaluated on the Asian side as a local concern of the people there However the significant majority of a vesselrsquos energy demand (which is directly related to emissions) occurs during the trans-Pacific leg (international) and is not included in the local inventories It is during this international phase that the shiprsquos energy demand is at its highest because the propulsion engine(s) is operating at its highest level and transiting time is significantly longer than the shiprsquos time at berth This is illustrated in Figure 11

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 12 October 2009

0

5

10

15

20

25

30

35

40

45

Ene

rgy

Dem

and

(MW

)

Energy (MW) 2 5 7 4 2

Ber

th

Men

uv -

Dep

art

PZM

enuv

-Ar

riva

lB

erth

LA

LocalInternationalLocal

41

Trans Pacific

Tran

s

18

Tran

s

17

Figure 11 Energy Demand Example Trans Pacific Transit from Shanghai to Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 13 October 2009

This study represents the first detailed Port-related evaluation of GHG emission levels from ships arriving and departing from their previous and next port respectfully The results of this study can be used to frame further carbon footprinting discussions on domain and sources contributions associated with ports

16 Climate Change Regulations amp Initiatives California has been the leading the nation in developing a regulatory mechanism to respond to the threat of climate change The California Global Warming Solutions Act of 2006 is the first comprehensive climate change regulation in the United States Internationally the International Maritime Organization (IMO) is currently working on greenhouse gas indexing of ships and potential engine and fuel standards targeting these pollutants Also on the international front the International Association of Ports and Harbors (IAPH) board recently signed the World Ports Climate Initiative (WPCI) The IAPH environmental subcommittee held its first symposium in Los Angeles in November 2008 in support of the WPCI and to start work on the initiatives associated with the WPCI More on these initiatives are provided below

The California Global Warming Solutions Act ndash Assembly Bill 32 Assembly Bill 32 (AB 32) the California Global Warming Solutions Act of 2006 establishes a first-in-the world comprehensive program requiring the CARB to develop regulatory and market mechanisms that will ultimately reduce GHG emissions to 1990 levels by the year 2020 and reduce emissions to 80 percent below 1990 levels by 2050 Mandatory caps will begin in 2012 for significant sources and ratchet down to meet the 2020 goals In the interim CARB will begin to measure the GHG emissions of industries determined to be significant sources In December 2008 CARB approved a Climate Change Scoping Plan to achieve the reductions in GHG emissions mandated in AB 32 The AB 32 Scoping Plan contains the main strategies that California will use to reduce GHG emissions Several of these measures are targeted at goods movement including Port-related goods movement and are expected to achieve a combined 37 million metric tons of carbon dioxide equivalent Proposed goods movement measures in the Scoping Plan include

T-5 Ship electrification at ports (previously adopted as regulation in December

2007) T-6 Goods movement efficiency measures

CARB has set guidelines on emission sources or ldquoScopesrdquo which ports and port tenants should include in determining their carbon footprint as well as the geographical domain for the State of California These guidelines are discussed further in Section 17

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 14 October 2009

IMO Greenhouse Gases Initiatives IMOrsquos Maritime Environmental Protection Committee (MEPC) is currently working on developing ldquocoherent and comprehensive future IMO regulatory framework on GHG emissions from shipsrdquo This regulatory framework is scheduled to be presented at the Copenhagen Conference in December 2009 In October 2008 MEPC voted unanimously to approve more stringent marine fuel sulfur limits expanded pollutant Emission Control Areas (ECAs) and marine engine standards These requirements tightened down the existing Annex VI regulations that had been previously adopted In March 2009 the United States and Canada jointly proposed to IMOrsquos MEPC the designation of an ECA for specified portions of the United States and Canadian coastal waters If approved the designation will require all vessels operating within the ECA (whether or not destined for either country) to reduce emissions IAPH World Ports Climate Initiative The principal objective of the IAPH is to develop and foster good relations and cooperation among ports and harbors worldwide by providing a forum to exchange opinions and share experiences on the latest trends of Port management and operations IAPH strives to emphasize and promote the fact that Ports form a vital link in the waterborne transportation of goods and play a vital role in todays global economy IAPH is committed to the protection of environment viewing it as an indispensable element of sustainable economic growth Dr Geraldine Knatz Executive Director of the Port of Los Angeles chairs the IAPH Environmental Committee Recognized as the only international organization representing the voice of the world port industry IAPH is granted Consultative Status as a Non-Governmental Organization (NGO) from five United Nations (UN) specialized agencies and one intergovernmental body

UN Economic and Social Council (ECOSOC) International Maritime Organization (IMO) UN Conference on Trade and Development (UNCTAD) UN Environment Programme (UNEP) International Labour Office (ILO) World Customs Organization (WCO)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 15 October 2009

In July 2008 55 member ports (including the Port) adopted the World Ports Climate Declaration which calls for member and non-member ports to work together through the forum provided by IAPH to address climate change issues One of the key components is for ports to share their best practices and experiences with the worldrsquos ports and various concerned parties One of the focuses of this initiative (one that the Port has volunteered to coordinate) is carbon footprinting associated with Port-related sources (Scopes 1-3) This document provides a broader domain evaluation to help facilitate those discussions and provide context to the greater carbon footprint associated with international goods movement 17 GHG Scopes The 2006 Port-wide GHG emissions are categorized based on the GHG emission scopes as defined under the International Council for Local Environmental Initiatives (ICLEI) Local Government Operations Protocol1 as illustrated in Figure 12 Scope 1 includes all direct GHG emissions from the Portrsquos municipally-controlled stationary and mobile sources Examples of Scope 1 sources include Port-owned fleet vehicles stationary generators and buildings (ie natural gas combustion) Scope 2 consists of indirect GHG emissions associated with the import and consumption of purchased electricity by the Port for its municipally-controlled sources (ie electricity used in Port-owned buildings and operations) Scope 3 emissions include Port tenantsrsquo direct emissions from stationary sources (ie natural gas combustion in buildings) mobile sources (ie ships trucks rail cargo handling equipment and harbor craft) and indirect source emissions associated with purchased electricity (ie buildings electric wharf cranes etc) Scope 3 primarily accounts for emissions associated with the operation of Port tenants Port employee vehicles are also considered under Scope 3 Scope 3 emissions are significantly higher than Scope 1 and 2 emissions In fact within a regional context Scope 3 emissions are greater than 99 percent of total municipally-related GHG emissions As geographical extents are expanded Scope 3 emissions can approach nearly 100 percent of the GHG emissions associated with good movement through a port Although inclusion of Scope 3 emissions in the Portrsquos GHG inventory is not mandatory under the Local Government Operations Protocol the expanded inventory will provide an opportunity for overall understanding quantification and context of GHG emissions associated with goods movement operations In addition since the Port has the most comprehensive data sets associated with Port tenant operations it presents the Port with the opportunity to make higher resolution estimates of its related Scope 3 emissions

1 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emissions inventories Version 10 CARB September 25 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 16 October 2009

Figure 12 2006 Port-wide GHG Emission Scopes

As in the annual emissions inventories the Port publishes this report catalogues Scope 3 emissions that are directly related to the Port specifically focusing on ship truck and train emissions outside of the SoCAB This report significantly broadens the geographical extent of the existing inventory domains as described below in the document 18 Existing Port Inventories

The Port has developed two inventories covering all three emission source Scopes Tenantsrsquo non-road mobile operational emissions have been quantified annually starting in 2001 focusing on Scope 3 mobile emissions sources Also starting in 2006 the Port started to quantify Scope 1 and 2 emissions (excluding Port tenantrsquos emissions) as part of its joining the California Climate Action Registry (CCAR)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 17 October 2009

Scope 3 - Annual Tenant Mobile Operations Inventories The Port began developing inventories for calendar year 2001 with annual updates beginning with the 2005 inventory It is currently conducting the 2008 inventory effort These inventories maximize the use of real and local data to minimize activity assumptions They involve intensive data collection efforts that include support from the Port tenants the Southern California Marine Exchange and numerous other sources The inventories are coordinated with and reviewed by CARB SCAQMD and EPA to ensure estimating methods are consistent with the latest acceptable practices Through this process the Port the tenants and the regulatory agencies are better informed on the activities and emissions associated with goods movement These annual inventories focus on Scope 3 emission categories including

Ocean-Going Vessels (OGVs) Harbor Craft (HC) Cargo Handling Equipment (CHE) Heavy-Duty Vehicles (HDVs) Rail Locomotives (RL)

The geographical domain for these source categories is regional and described fully in Section 19 below

In 2001 and 2005 emission estimates were focused on diesel particulate matter (DPM) particulate matter less than 25 and 10 microns (PM25 amp PM10) oxides of nitrogen oxides (NOx) of sulfur (SOx) carbon monoxide (CO) and hydrocarbons Starting with the 2006 inventories greenhouse gases were included into the suite of pollutants evaluated due to the rising interest in climate change Greenhouse gases that are included are CO2 CH4 and N2O which are rolled up into CO2 equivalents (CO2E)

Scopes 1 amp 2 ndash California Climate Action Registry Inventory The Port joined the CCAR in 2006 and as part of that commitment the Port submits annual inventories that cover Scope 1 and 2 emissions The CCAR inventories include the following emission sources

Scope 1 The Portrsquos municipal stationary sources (buildings stationary generators) and municipal mobile sources (on-road and non-road fleet vehicles)

Scope 2 The Portrsquos municipal electricity imports Emissions are estimated and submitted to the CCAR for public posting The geographical extent is limited to the Portrsquos municipally-controlled property

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 4: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

LIST OF FIGURES

Figure ES1 2006 Port-wide GHG Emission Scopes 1 Figure ES2 South Coast Air Basin-Boundary 2 Figure ES3 Maritime Sources Geographical Extent 3 Figure ES4 2006 OGV Routes To and From the Por 4 Figure ES5 Major Onroad Heavy-Duty Vehicle Routes from SoCAB Boundary to 600 Miles 5 Figure ES6 Main Railways Traveled by BNSF and UP from the Port 5 Figure ES7 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category 6 Figure ES8 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution 7 Figure ES9 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution 8 Figure 11 Energy Demand Example Trans Pacific Transit from Shanghai to Los Angeles 12 Figure 12 2006 Port-wide GHG Emission Scopes 16 Figure 13 2006 Port Regional CO2E Contributions by Source Category 18 Figure 14 Maritime Sources Geographical Extent 19 Figure 15 South Coast Air Basin Regional Boundary 20 Figure 16 Port Boundary Study Area 21 Figure 17 2006 Expanded GHG Inventory OGV Domain 22 Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles 23 Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles 24 Figure 21 2006 Distribution of Arrivals by Country of Origin 28 Figure 22 2006 Distribution of Departures by Destination Country 30 Figure 23 2006 OGV Routes To and From the Port 31 Figure 24 2006 OGV Emissions Distribution by Domain 42 Figure 31 Population Centers along Major Routes Beyond SoCAB 44 Figure 32 2006 HDV Emissions Distribution by Domain 49 Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons 50 Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California 51 Figure 42 BNSF Travel Volume per Main Route 52 Figure 43 2006 Rail Emissions Distribution by Domain 58 Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination metric tons 59 Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category 62 Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution 63 Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution 64

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

LIST OF TABLES

Table ES1 2006 Port-Related GHG Emissions Scopes 1 2 amp 3 6 Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals 27 (In-Bound Activities) 27 Table 22 2006 Ranking of Destination Ports by Frequency of Departures 29 (Out-Bound Activities) 29 Table 23 Total OGV Movements for 2006 32 Table 24 2006 Auxiliary Engine Power and Load Defaults 35 Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr 37 Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil gkW-hr 37 Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls 39 Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions 40 Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain 41 Table 210 2006 Total Port-Related OGV GHG Emissions by Domain 41 Table 31 Routes Major OriginsDestinations and Maximum Distances 44 Table 32 Route Distribution Percentages 45 Table 33 Route Distribution ndash Number of Trips 45 Table 34 HDV Greenhouse Gas Emission Factors gmile 46 Table 35 2006 Total Expanded HDV Emissions by Route 47 Table 36 2006 Total In-Bound Expanded HDV Emissions by Route 48 Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route 48 Table 38 2006 Total Port-Related HDV GHG Emissions by Domain 49 Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006 53 Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr 54 Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates 55 (per year) 55 Table 44 2006 Total Expanded Class 1 Line-Haul Emissions 56 Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions 57 Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions 57 Table 47 2006 Total Port-Related Rail GHG Emissions by Domain 58 Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions 60 Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions 61 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain 62 Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions 64

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 1 October 2009

EXECUTIVE SUMMARY This document presents the evaluation of an expanded greenhouse gas (GHG) emissions domain associated with 2006 goods movements directly linked with the Port of Los Angeles (Port) Traditionally the annual Port-related emission evaluations have been focused on a regional level within the South Coast Air Basin (SoCAB) With this study the Port has expanded the scope of those evaluations to a national scale for trucks and rail and a global scale for ships The study includes all three Scopes of GHG emission sources Scope 1 includes Port municipal operational emissions Scope 2 includes emissions associated with Port municipal energy consumption and Scope 3 primarily includes tenant operations and energy consumption related emissions as illustrated in Figure ES1

Figure ES1 2006 Port-wide GHG Emission Scopes

Scope 3 sources include the mobile operational equipment used by the tenants and shipping companies to move cargo through the Port to its final destination These mobile sources include ocean-going vessels (OGVs) heavy-duty vehicles (HDVs or trucks) cargo handling equipment (CHE) harbor craft (HC) and rail locomotives Of these sources OGVs HDVs and rail locomotives travel beyond the regional South Coast domain Port employee vehicles are also considered under Scope 3 ES1 Study Domains

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 2 October 2009

The Port-related GHG emission sources operate in three distinct geographical domains that are used to quantify activity and related emissions These domains are

South Coast Air Basin In-State Out-of-State

SoCAB Domain The SoCAB is the regional domain that is used for the annual tenant operations and includes both a land and over-water boundary The municipal GHG inventory domain is limited to Port boundaries also within the SoCAB The SoCAB land domain is presented in Figure ES2 and includes all or part of four counties Los Angeles County Riverside County Orange County and San Bernardino County

Figure ES2 South Coast Air Basin-Boundary

The SoCAB over-water boundary extends from the Ventura and Orange County lines to the western edge of the California Waters (dark blue box) as presented in Figure ES3

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 3 October 2009

Figure ES3 Maritime Sources Geographical Extent

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond it

In-State Domain The in-state domain also includes a land and over-water boundary The land boundary for this study is entire State of California outside the SoCAB boundary (to avoid double counting) The over-water boundary defined by the California Air Resources Board (CARB) is 24 nautical miles (nm) off the California Coast Again to avoid double counting for this study the ldquoIn-Staterdquo over-water boundary is the area out to 24 nm from the coast outside the SoCAB boundary (as presented in Figure ES3 above)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 4 October 2009

Out-of-State Domain The out-of-state domain also includes over-water and land components The out-of-state domainrsquos over-water component encompasses the worldrsquos oceans ndash over which ships travel to and from the Port The 2006 ship routes therefore define the OGV out-of-state domain as presented in Figure ES4

Figure ES4 2006 OGV Routes To and From the Port

The out-of-state domainrsquos land component is made up of the HDV and rail locomotive domains Trucks are typically cost competitive with rail within 600 miles from point of origin so the HDV domain is a 600 mile arc from the Port as shown in Figure ES5

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 5 October 2009

Figure ES5 Major Onroad Heavy-Duty Vehicle Routes from SoCAB Boundary to 600 Miles

The out-of-state rail locomotive domain component is out along the tracks to the major distribution centers from Los Angeles as shown in Figure ES6

Figure ES6 Main Railways Traveled by BNSF and UP from the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 6 October 2009

ES2 Carbon Footprint Summary The 2006 combined emissions footprint for Port-related GHG emissions for all three Scopes is presented in Table ES1

Table ES1 2006 Port-Related GHG Emissions Scopes 1 2 amp 3

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions The distribution of Scopes 1 2 amp 3 emissions by source types is presented in Figure ES7

Figure ES7 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 7 October 2009

The total 2006 Port-related GHG emission distribution by domain (SoCAB in-state out-of-state) is presented in Figure ES8

Figure ES8 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 8 October 2009

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories falls within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 emission distribution for the State of California is presented in Figure ES9

Figure ES9 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 9 October 2009

SECTION 1 INTRODUCTION This document presents the evaluation of an expanded Greenhouse Gas (GHG) emissions domain associated with goods movements directly linked with the Port of Los Angeles (Port) Traditionally the Port-related emission evaluations have been focused on a regional level With this study the Port has moved those evaluations to a national scale for trucks and rail and a global scale for ships 11 Background The Port is the largest container port in the United States accounting for 847 million twenty-foot equivalents (TEUs) of cargo movement in the year 2006 Although recent economic conditions have led to a decrease in cargo throughput economic forecasts suggest that demand for containerized cargo moving through the Port will increase in coming years In order to meet containerized cargo demand and practice sound environmental stewardship the Port has implemented the preparation of annual activity-based emission inventories (EIs) to monitor changes in Port-related emissions over time These inventories are based on detailed activity data and are state-of-the-art for Port-related sources To ensure that the methods and results continue to represent the best methods in emissions inventory development the Port works with a Technical Working Group (TWG) consisting of staff of the California Air Resources Board (CARB) South Coast Air Quality Management District (SCAQMD) and the United States Environmental Protection Agency (EPA) While the EI reports provide an in-depth analysis of Port-related emissions within the SoCAB the Port is now evaluating a much broader national and global geographical domain While the study domain for this report is much broader the emissions analysis is narrower focusing only on GHGs As concern over climate change increases quantification of anthropogenic GHG emissions has become a necessary first step towards reducing the emissions that cause it

12 Purpose of Study

The purpose of this study is to quantify the greater GHG emissions associated with international goods movement directly associated with the Port by expanding the geographical domain nationally and internationally This report combines the existing regional (SoCAB) level inventories with estimates of the international and national emissions associated with those regional activities for the baseline year of 2006 Emissions associated with the regional level of activity come directly from the published 2006 Port estimates that are described in Section 15 below This expanded GHG inventory contains new emission estimates from the expanded geographical extent for the following three source categories that operate beyond the regional domain

Ocean-going vessels Heavy-duty vehicles Rail locomotives

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 10 October 2009

13 Cargo Movements Included For activities beyond the existing geographical boundaries of the annual inventories emissions are estimated from cargo movements within the following geographical extents

Ocean-going vessels All ships inbound and outbound to and from the Port from the shiprsquos originating port or next port of call as described in Section 2 of this report

Heavy-duty vehicles (trucks) inbound and outbound truck movements to and from the Port to population centers within 600 miles of the Port as described in Section 3 of this report

Rail locomotives All Union Pacific (UP) and Burlington Northern Santa Fe (BNSF) (Class 1) inbound and outbound rail movements to and from the Port to major rail cargo destinations as described in Section 4 of this report

The cargo movements that are included in this expanded GHG inventory only represent the direct movements to or from the Port They are not intended to represent the greater international goods movement within the SoCAB or the expanded geographical area An example where this distinction is important is with container ships Most ships follow trans-Pacific routes to the Port directly from Asia and then go to other west coast ports such as Oakland Seattle Tacoma etc The reverse can be true where the ship first arrives from a trans-Pacific voyage at one of these other west coast ports comes to the Port and then returns to Asia Therefore the majority of arrival and departures directly associated with the Port do not include two trans-Pacific legs A significant amount of cargo movement is indirectly associated with international goods movement but not directly related to the Port An example would be imported goods that have been removed from international shipping containers to be distributed from transloading centers and repackaged into domestic trailers for local or regional transport The movement of these goods after the transloading facility is not included in the expanded Port greenhouse gas emissions inventory

14 Greenhouse Gases

Climate change is a global concern During the 20th century global average temperatures increased about one degree centigrade Over the next 100 years temperatures are likely to increase another two to ten degrees centigrade Climate models show that this overall increase in temperature will cause dramatic changes to regional climates and increase the instance and intensity of severe weather events

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 11 October 2009

GHGs are gases present in the earths atmosphere that reduce the loss of heat into space GHGs primarily include water vapor carbon dioxide (CO2) methane (CH4) nitrous oxide (N2O) and certain fluorinated gases used in commercial and industrial applications GHGs affect climate as they concentrate in the Earthrsquos atmosphere and trap heat by blocking some of the long-wave energy normally radiated back into space While some GHGs occur naturally there is widespread agreement among climate scientists worldwide that human activity is increasing the GHGs in the Earthrsquos atmosphere and accelerating global warming and the accompanying changes in climate patterns that accompany it Activities that release GHGs into the air include those that occur in and around a port setting such as the burning of fossil fuels for industrial operations transportation heating and electricity The potential consequences of global warming to Los Angeles include longer and hotter summers longer droughts more devastating wildfires and shortages of public water all of which threaten public health and the economy 15 The Bigger Picture Goods Movement amp Climate Change Traditionally air quality efforts in Southern California and the United States have focused on pollutants that impact the local or regional populations With respect to climate change emissions released anywhere along the goods movement logistic chains can have a negative impact on GHG concentrations globally meaning itrsquos not just a local concern When estimating the Port-related GHG emissions from goods movement activities that pass directly through Port the expanded geographical domain of those activities brings into focus a significant source that is not accounted for in local or regional inventories

This is particularly acute in Ocean-going Vessel (OGV) inventories For example when looking at the emissions covered in the existing Port tenantsrsquo inventories only the local energy demand of ships calling on the Port is estimated In this local domain the ship is typically transitioning from sea speed to maneuvering speeds and operations at-berth (when the propulsion engines are off) The same activities are evaluated on the Asian side as a local concern of the people there However the significant majority of a vesselrsquos energy demand (which is directly related to emissions) occurs during the trans-Pacific leg (international) and is not included in the local inventories It is during this international phase that the shiprsquos energy demand is at its highest because the propulsion engine(s) is operating at its highest level and transiting time is significantly longer than the shiprsquos time at berth This is illustrated in Figure 11

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 12 October 2009

0

5

10

15

20

25

30

35

40

45

Ene

rgy

Dem

and

(MW

)

Energy (MW) 2 5 7 4 2

Ber

th

Men

uv -

Dep

art

PZM

enuv

-Ar

riva

lB

erth

LA

LocalInternationalLocal

41

Trans Pacific

Tran

s

18

Tran

s

17

Figure 11 Energy Demand Example Trans Pacific Transit from Shanghai to Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 13 October 2009

This study represents the first detailed Port-related evaluation of GHG emission levels from ships arriving and departing from their previous and next port respectfully The results of this study can be used to frame further carbon footprinting discussions on domain and sources contributions associated with ports

16 Climate Change Regulations amp Initiatives California has been the leading the nation in developing a regulatory mechanism to respond to the threat of climate change The California Global Warming Solutions Act of 2006 is the first comprehensive climate change regulation in the United States Internationally the International Maritime Organization (IMO) is currently working on greenhouse gas indexing of ships and potential engine and fuel standards targeting these pollutants Also on the international front the International Association of Ports and Harbors (IAPH) board recently signed the World Ports Climate Initiative (WPCI) The IAPH environmental subcommittee held its first symposium in Los Angeles in November 2008 in support of the WPCI and to start work on the initiatives associated with the WPCI More on these initiatives are provided below

The California Global Warming Solutions Act ndash Assembly Bill 32 Assembly Bill 32 (AB 32) the California Global Warming Solutions Act of 2006 establishes a first-in-the world comprehensive program requiring the CARB to develop regulatory and market mechanisms that will ultimately reduce GHG emissions to 1990 levels by the year 2020 and reduce emissions to 80 percent below 1990 levels by 2050 Mandatory caps will begin in 2012 for significant sources and ratchet down to meet the 2020 goals In the interim CARB will begin to measure the GHG emissions of industries determined to be significant sources In December 2008 CARB approved a Climate Change Scoping Plan to achieve the reductions in GHG emissions mandated in AB 32 The AB 32 Scoping Plan contains the main strategies that California will use to reduce GHG emissions Several of these measures are targeted at goods movement including Port-related goods movement and are expected to achieve a combined 37 million metric tons of carbon dioxide equivalent Proposed goods movement measures in the Scoping Plan include

T-5 Ship electrification at ports (previously adopted as regulation in December

2007) T-6 Goods movement efficiency measures

CARB has set guidelines on emission sources or ldquoScopesrdquo which ports and port tenants should include in determining their carbon footprint as well as the geographical domain for the State of California These guidelines are discussed further in Section 17

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 14 October 2009

IMO Greenhouse Gases Initiatives IMOrsquos Maritime Environmental Protection Committee (MEPC) is currently working on developing ldquocoherent and comprehensive future IMO regulatory framework on GHG emissions from shipsrdquo This regulatory framework is scheduled to be presented at the Copenhagen Conference in December 2009 In October 2008 MEPC voted unanimously to approve more stringent marine fuel sulfur limits expanded pollutant Emission Control Areas (ECAs) and marine engine standards These requirements tightened down the existing Annex VI regulations that had been previously adopted In March 2009 the United States and Canada jointly proposed to IMOrsquos MEPC the designation of an ECA for specified portions of the United States and Canadian coastal waters If approved the designation will require all vessels operating within the ECA (whether or not destined for either country) to reduce emissions IAPH World Ports Climate Initiative The principal objective of the IAPH is to develop and foster good relations and cooperation among ports and harbors worldwide by providing a forum to exchange opinions and share experiences on the latest trends of Port management and operations IAPH strives to emphasize and promote the fact that Ports form a vital link in the waterborne transportation of goods and play a vital role in todays global economy IAPH is committed to the protection of environment viewing it as an indispensable element of sustainable economic growth Dr Geraldine Knatz Executive Director of the Port of Los Angeles chairs the IAPH Environmental Committee Recognized as the only international organization representing the voice of the world port industry IAPH is granted Consultative Status as a Non-Governmental Organization (NGO) from five United Nations (UN) specialized agencies and one intergovernmental body

UN Economic and Social Council (ECOSOC) International Maritime Organization (IMO) UN Conference on Trade and Development (UNCTAD) UN Environment Programme (UNEP) International Labour Office (ILO) World Customs Organization (WCO)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 15 October 2009

In July 2008 55 member ports (including the Port) adopted the World Ports Climate Declaration which calls for member and non-member ports to work together through the forum provided by IAPH to address climate change issues One of the key components is for ports to share their best practices and experiences with the worldrsquos ports and various concerned parties One of the focuses of this initiative (one that the Port has volunteered to coordinate) is carbon footprinting associated with Port-related sources (Scopes 1-3) This document provides a broader domain evaluation to help facilitate those discussions and provide context to the greater carbon footprint associated with international goods movement 17 GHG Scopes The 2006 Port-wide GHG emissions are categorized based on the GHG emission scopes as defined under the International Council for Local Environmental Initiatives (ICLEI) Local Government Operations Protocol1 as illustrated in Figure 12 Scope 1 includes all direct GHG emissions from the Portrsquos municipally-controlled stationary and mobile sources Examples of Scope 1 sources include Port-owned fleet vehicles stationary generators and buildings (ie natural gas combustion) Scope 2 consists of indirect GHG emissions associated with the import and consumption of purchased electricity by the Port for its municipally-controlled sources (ie electricity used in Port-owned buildings and operations) Scope 3 emissions include Port tenantsrsquo direct emissions from stationary sources (ie natural gas combustion in buildings) mobile sources (ie ships trucks rail cargo handling equipment and harbor craft) and indirect source emissions associated with purchased electricity (ie buildings electric wharf cranes etc) Scope 3 primarily accounts for emissions associated with the operation of Port tenants Port employee vehicles are also considered under Scope 3 Scope 3 emissions are significantly higher than Scope 1 and 2 emissions In fact within a regional context Scope 3 emissions are greater than 99 percent of total municipally-related GHG emissions As geographical extents are expanded Scope 3 emissions can approach nearly 100 percent of the GHG emissions associated with good movement through a port Although inclusion of Scope 3 emissions in the Portrsquos GHG inventory is not mandatory under the Local Government Operations Protocol the expanded inventory will provide an opportunity for overall understanding quantification and context of GHG emissions associated with goods movement operations In addition since the Port has the most comprehensive data sets associated with Port tenant operations it presents the Port with the opportunity to make higher resolution estimates of its related Scope 3 emissions

1 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emissions inventories Version 10 CARB September 25 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 16 October 2009

Figure 12 2006 Port-wide GHG Emission Scopes

As in the annual emissions inventories the Port publishes this report catalogues Scope 3 emissions that are directly related to the Port specifically focusing on ship truck and train emissions outside of the SoCAB This report significantly broadens the geographical extent of the existing inventory domains as described below in the document 18 Existing Port Inventories

The Port has developed two inventories covering all three emission source Scopes Tenantsrsquo non-road mobile operational emissions have been quantified annually starting in 2001 focusing on Scope 3 mobile emissions sources Also starting in 2006 the Port started to quantify Scope 1 and 2 emissions (excluding Port tenantrsquos emissions) as part of its joining the California Climate Action Registry (CCAR)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 17 October 2009

Scope 3 - Annual Tenant Mobile Operations Inventories The Port began developing inventories for calendar year 2001 with annual updates beginning with the 2005 inventory It is currently conducting the 2008 inventory effort These inventories maximize the use of real and local data to minimize activity assumptions They involve intensive data collection efforts that include support from the Port tenants the Southern California Marine Exchange and numerous other sources The inventories are coordinated with and reviewed by CARB SCAQMD and EPA to ensure estimating methods are consistent with the latest acceptable practices Through this process the Port the tenants and the regulatory agencies are better informed on the activities and emissions associated with goods movement These annual inventories focus on Scope 3 emission categories including

Ocean-Going Vessels (OGVs) Harbor Craft (HC) Cargo Handling Equipment (CHE) Heavy-Duty Vehicles (HDVs) Rail Locomotives (RL)

The geographical domain for these source categories is regional and described fully in Section 19 below

In 2001 and 2005 emission estimates were focused on diesel particulate matter (DPM) particulate matter less than 25 and 10 microns (PM25 amp PM10) oxides of nitrogen oxides (NOx) of sulfur (SOx) carbon monoxide (CO) and hydrocarbons Starting with the 2006 inventories greenhouse gases were included into the suite of pollutants evaluated due to the rising interest in climate change Greenhouse gases that are included are CO2 CH4 and N2O which are rolled up into CO2 equivalents (CO2E)

Scopes 1 amp 2 ndash California Climate Action Registry Inventory The Port joined the CCAR in 2006 and as part of that commitment the Port submits annual inventories that cover Scope 1 and 2 emissions The CCAR inventories include the following emission sources

Scope 1 The Portrsquos municipal stationary sources (buildings stationary generators) and municipal mobile sources (on-road and non-road fleet vehicles)

Scope 2 The Portrsquos municipal electricity imports Emissions are estimated and submitted to the CCAR for public posting The geographical extent is limited to the Portrsquos municipally-controlled property

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 5: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

LIST OF TABLES

Table ES1 2006 Port-Related GHG Emissions Scopes 1 2 amp 3 6 Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals 27 (In-Bound Activities) 27 Table 22 2006 Ranking of Destination Ports by Frequency of Departures 29 (Out-Bound Activities) 29 Table 23 Total OGV Movements for 2006 32 Table 24 2006 Auxiliary Engine Power and Load Defaults 35 Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr 37 Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil gkW-hr 37 Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls 39 Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions 40 Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain 41 Table 210 2006 Total Port-Related OGV GHG Emissions by Domain 41 Table 31 Routes Major OriginsDestinations and Maximum Distances 44 Table 32 Route Distribution Percentages 45 Table 33 Route Distribution ndash Number of Trips 45 Table 34 HDV Greenhouse Gas Emission Factors gmile 46 Table 35 2006 Total Expanded HDV Emissions by Route 47 Table 36 2006 Total In-Bound Expanded HDV Emissions by Route 48 Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route 48 Table 38 2006 Total Port-Related HDV GHG Emissions by Domain 49 Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006 53 Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr 54 Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates 55 (per year) 55 Table 44 2006 Total Expanded Class 1 Line-Haul Emissions 56 Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions 57 Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions 57 Table 47 2006 Total Port-Related Rail GHG Emissions by Domain 58 Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions 60 Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions 61 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain 62 Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions 64

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 1 October 2009

EXECUTIVE SUMMARY This document presents the evaluation of an expanded greenhouse gas (GHG) emissions domain associated with 2006 goods movements directly linked with the Port of Los Angeles (Port) Traditionally the annual Port-related emission evaluations have been focused on a regional level within the South Coast Air Basin (SoCAB) With this study the Port has expanded the scope of those evaluations to a national scale for trucks and rail and a global scale for ships The study includes all three Scopes of GHG emission sources Scope 1 includes Port municipal operational emissions Scope 2 includes emissions associated with Port municipal energy consumption and Scope 3 primarily includes tenant operations and energy consumption related emissions as illustrated in Figure ES1

Figure ES1 2006 Port-wide GHG Emission Scopes

Scope 3 sources include the mobile operational equipment used by the tenants and shipping companies to move cargo through the Port to its final destination These mobile sources include ocean-going vessels (OGVs) heavy-duty vehicles (HDVs or trucks) cargo handling equipment (CHE) harbor craft (HC) and rail locomotives Of these sources OGVs HDVs and rail locomotives travel beyond the regional South Coast domain Port employee vehicles are also considered under Scope 3 ES1 Study Domains

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 2 October 2009

The Port-related GHG emission sources operate in three distinct geographical domains that are used to quantify activity and related emissions These domains are

South Coast Air Basin In-State Out-of-State

SoCAB Domain The SoCAB is the regional domain that is used for the annual tenant operations and includes both a land and over-water boundary The municipal GHG inventory domain is limited to Port boundaries also within the SoCAB The SoCAB land domain is presented in Figure ES2 and includes all or part of four counties Los Angeles County Riverside County Orange County and San Bernardino County

Figure ES2 South Coast Air Basin-Boundary

The SoCAB over-water boundary extends from the Ventura and Orange County lines to the western edge of the California Waters (dark blue box) as presented in Figure ES3

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 3 October 2009

Figure ES3 Maritime Sources Geographical Extent

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond it

In-State Domain The in-state domain also includes a land and over-water boundary The land boundary for this study is entire State of California outside the SoCAB boundary (to avoid double counting) The over-water boundary defined by the California Air Resources Board (CARB) is 24 nautical miles (nm) off the California Coast Again to avoid double counting for this study the ldquoIn-Staterdquo over-water boundary is the area out to 24 nm from the coast outside the SoCAB boundary (as presented in Figure ES3 above)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 4 October 2009

Out-of-State Domain The out-of-state domain also includes over-water and land components The out-of-state domainrsquos over-water component encompasses the worldrsquos oceans ndash over which ships travel to and from the Port The 2006 ship routes therefore define the OGV out-of-state domain as presented in Figure ES4

Figure ES4 2006 OGV Routes To and From the Port

The out-of-state domainrsquos land component is made up of the HDV and rail locomotive domains Trucks are typically cost competitive with rail within 600 miles from point of origin so the HDV domain is a 600 mile arc from the Port as shown in Figure ES5

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 5 October 2009

Figure ES5 Major Onroad Heavy-Duty Vehicle Routes from SoCAB Boundary to 600 Miles

The out-of-state rail locomotive domain component is out along the tracks to the major distribution centers from Los Angeles as shown in Figure ES6

Figure ES6 Main Railways Traveled by BNSF and UP from the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 6 October 2009

ES2 Carbon Footprint Summary The 2006 combined emissions footprint for Port-related GHG emissions for all three Scopes is presented in Table ES1

Table ES1 2006 Port-Related GHG Emissions Scopes 1 2 amp 3

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions The distribution of Scopes 1 2 amp 3 emissions by source types is presented in Figure ES7

Figure ES7 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 7 October 2009

The total 2006 Port-related GHG emission distribution by domain (SoCAB in-state out-of-state) is presented in Figure ES8

Figure ES8 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 8 October 2009

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories falls within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 emission distribution for the State of California is presented in Figure ES9

Figure ES9 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 9 October 2009

SECTION 1 INTRODUCTION This document presents the evaluation of an expanded Greenhouse Gas (GHG) emissions domain associated with goods movements directly linked with the Port of Los Angeles (Port) Traditionally the Port-related emission evaluations have been focused on a regional level With this study the Port has moved those evaluations to a national scale for trucks and rail and a global scale for ships 11 Background The Port is the largest container port in the United States accounting for 847 million twenty-foot equivalents (TEUs) of cargo movement in the year 2006 Although recent economic conditions have led to a decrease in cargo throughput economic forecasts suggest that demand for containerized cargo moving through the Port will increase in coming years In order to meet containerized cargo demand and practice sound environmental stewardship the Port has implemented the preparation of annual activity-based emission inventories (EIs) to monitor changes in Port-related emissions over time These inventories are based on detailed activity data and are state-of-the-art for Port-related sources To ensure that the methods and results continue to represent the best methods in emissions inventory development the Port works with a Technical Working Group (TWG) consisting of staff of the California Air Resources Board (CARB) South Coast Air Quality Management District (SCAQMD) and the United States Environmental Protection Agency (EPA) While the EI reports provide an in-depth analysis of Port-related emissions within the SoCAB the Port is now evaluating a much broader national and global geographical domain While the study domain for this report is much broader the emissions analysis is narrower focusing only on GHGs As concern over climate change increases quantification of anthropogenic GHG emissions has become a necessary first step towards reducing the emissions that cause it

12 Purpose of Study

The purpose of this study is to quantify the greater GHG emissions associated with international goods movement directly associated with the Port by expanding the geographical domain nationally and internationally This report combines the existing regional (SoCAB) level inventories with estimates of the international and national emissions associated with those regional activities for the baseline year of 2006 Emissions associated with the regional level of activity come directly from the published 2006 Port estimates that are described in Section 15 below This expanded GHG inventory contains new emission estimates from the expanded geographical extent for the following three source categories that operate beyond the regional domain

Ocean-going vessels Heavy-duty vehicles Rail locomotives

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 10 October 2009

13 Cargo Movements Included For activities beyond the existing geographical boundaries of the annual inventories emissions are estimated from cargo movements within the following geographical extents

Ocean-going vessels All ships inbound and outbound to and from the Port from the shiprsquos originating port or next port of call as described in Section 2 of this report

Heavy-duty vehicles (trucks) inbound and outbound truck movements to and from the Port to population centers within 600 miles of the Port as described in Section 3 of this report

Rail locomotives All Union Pacific (UP) and Burlington Northern Santa Fe (BNSF) (Class 1) inbound and outbound rail movements to and from the Port to major rail cargo destinations as described in Section 4 of this report

The cargo movements that are included in this expanded GHG inventory only represent the direct movements to or from the Port They are not intended to represent the greater international goods movement within the SoCAB or the expanded geographical area An example where this distinction is important is with container ships Most ships follow trans-Pacific routes to the Port directly from Asia and then go to other west coast ports such as Oakland Seattle Tacoma etc The reverse can be true where the ship first arrives from a trans-Pacific voyage at one of these other west coast ports comes to the Port and then returns to Asia Therefore the majority of arrival and departures directly associated with the Port do not include two trans-Pacific legs A significant amount of cargo movement is indirectly associated with international goods movement but not directly related to the Port An example would be imported goods that have been removed from international shipping containers to be distributed from transloading centers and repackaged into domestic trailers for local or regional transport The movement of these goods after the transloading facility is not included in the expanded Port greenhouse gas emissions inventory

14 Greenhouse Gases

Climate change is a global concern During the 20th century global average temperatures increased about one degree centigrade Over the next 100 years temperatures are likely to increase another two to ten degrees centigrade Climate models show that this overall increase in temperature will cause dramatic changes to regional climates and increase the instance and intensity of severe weather events

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 11 October 2009

GHGs are gases present in the earths atmosphere that reduce the loss of heat into space GHGs primarily include water vapor carbon dioxide (CO2) methane (CH4) nitrous oxide (N2O) and certain fluorinated gases used in commercial and industrial applications GHGs affect climate as they concentrate in the Earthrsquos atmosphere and trap heat by blocking some of the long-wave energy normally radiated back into space While some GHGs occur naturally there is widespread agreement among climate scientists worldwide that human activity is increasing the GHGs in the Earthrsquos atmosphere and accelerating global warming and the accompanying changes in climate patterns that accompany it Activities that release GHGs into the air include those that occur in and around a port setting such as the burning of fossil fuels for industrial operations transportation heating and electricity The potential consequences of global warming to Los Angeles include longer and hotter summers longer droughts more devastating wildfires and shortages of public water all of which threaten public health and the economy 15 The Bigger Picture Goods Movement amp Climate Change Traditionally air quality efforts in Southern California and the United States have focused on pollutants that impact the local or regional populations With respect to climate change emissions released anywhere along the goods movement logistic chains can have a negative impact on GHG concentrations globally meaning itrsquos not just a local concern When estimating the Port-related GHG emissions from goods movement activities that pass directly through Port the expanded geographical domain of those activities brings into focus a significant source that is not accounted for in local or regional inventories

This is particularly acute in Ocean-going Vessel (OGV) inventories For example when looking at the emissions covered in the existing Port tenantsrsquo inventories only the local energy demand of ships calling on the Port is estimated In this local domain the ship is typically transitioning from sea speed to maneuvering speeds and operations at-berth (when the propulsion engines are off) The same activities are evaluated on the Asian side as a local concern of the people there However the significant majority of a vesselrsquos energy demand (which is directly related to emissions) occurs during the trans-Pacific leg (international) and is not included in the local inventories It is during this international phase that the shiprsquos energy demand is at its highest because the propulsion engine(s) is operating at its highest level and transiting time is significantly longer than the shiprsquos time at berth This is illustrated in Figure 11

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 12 October 2009

0

5

10

15

20

25

30

35

40

45

Ene

rgy

Dem

and

(MW

)

Energy (MW) 2 5 7 4 2

Ber

th

Men

uv -

Dep

art

PZM

enuv

-Ar

riva

lB

erth

LA

LocalInternationalLocal

41

Trans Pacific

Tran

s

18

Tran

s

17

Figure 11 Energy Demand Example Trans Pacific Transit from Shanghai to Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 13 October 2009

This study represents the first detailed Port-related evaluation of GHG emission levels from ships arriving and departing from their previous and next port respectfully The results of this study can be used to frame further carbon footprinting discussions on domain and sources contributions associated with ports

16 Climate Change Regulations amp Initiatives California has been the leading the nation in developing a regulatory mechanism to respond to the threat of climate change The California Global Warming Solutions Act of 2006 is the first comprehensive climate change regulation in the United States Internationally the International Maritime Organization (IMO) is currently working on greenhouse gas indexing of ships and potential engine and fuel standards targeting these pollutants Also on the international front the International Association of Ports and Harbors (IAPH) board recently signed the World Ports Climate Initiative (WPCI) The IAPH environmental subcommittee held its first symposium in Los Angeles in November 2008 in support of the WPCI and to start work on the initiatives associated with the WPCI More on these initiatives are provided below

The California Global Warming Solutions Act ndash Assembly Bill 32 Assembly Bill 32 (AB 32) the California Global Warming Solutions Act of 2006 establishes a first-in-the world comprehensive program requiring the CARB to develop regulatory and market mechanisms that will ultimately reduce GHG emissions to 1990 levels by the year 2020 and reduce emissions to 80 percent below 1990 levels by 2050 Mandatory caps will begin in 2012 for significant sources and ratchet down to meet the 2020 goals In the interim CARB will begin to measure the GHG emissions of industries determined to be significant sources In December 2008 CARB approved a Climate Change Scoping Plan to achieve the reductions in GHG emissions mandated in AB 32 The AB 32 Scoping Plan contains the main strategies that California will use to reduce GHG emissions Several of these measures are targeted at goods movement including Port-related goods movement and are expected to achieve a combined 37 million metric tons of carbon dioxide equivalent Proposed goods movement measures in the Scoping Plan include

T-5 Ship electrification at ports (previously adopted as regulation in December

2007) T-6 Goods movement efficiency measures

CARB has set guidelines on emission sources or ldquoScopesrdquo which ports and port tenants should include in determining their carbon footprint as well as the geographical domain for the State of California These guidelines are discussed further in Section 17

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 14 October 2009

IMO Greenhouse Gases Initiatives IMOrsquos Maritime Environmental Protection Committee (MEPC) is currently working on developing ldquocoherent and comprehensive future IMO regulatory framework on GHG emissions from shipsrdquo This regulatory framework is scheduled to be presented at the Copenhagen Conference in December 2009 In October 2008 MEPC voted unanimously to approve more stringent marine fuel sulfur limits expanded pollutant Emission Control Areas (ECAs) and marine engine standards These requirements tightened down the existing Annex VI regulations that had been previously adopted In March 2009 the United States and Canada jointly proposed to IMOrsquos MEPC the designation of an ECA for specified portions of the United States and Canadian coastal waters If approved the designation will require all vessels operating within the ECA (whether or not destined for either country) to reduce emissions IAPH World Ports Climate Initiative The principal objective of the IAPH is to develop and foster good relations and cooperation among ports and harbors worldwide by providing a forum to exchange opinions and share experiences on the latest trends of Port management and operations IAPH strives to emphasize and promote the fact that Ports form a vital link in the waterborne transportation of goods and play a vital role in todays global economy IAPH is committed to the protection of environment viewing it as an indispensable element of sustainable economic growth Dr Geraldine Knatz Executive Director of the Port of Los Angeles chairs the IAPH Environmental Committee Recognized as the only international organization representing the voice of the world port industry IAPH is granted Consultative Status as a Non-Governmental Organization (NGO) from five United Nations (UN) specialized agencies and one intergovernmental body

UN Economic and Social Council (ECOSOC) International Maritime Organization (IMO) UN Conference on Trade and Development (UNCTAD) UN Environment Programme (UNEP) International Labour Office (ILO) World Customs Organization (WCO)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 15 October 2009

In July 2008 55 member ports (including the Port) adopted the World Ports Climate Declaration which calls for member and non-member ports to work together through the forum provided by IAPH to address climate change issues One of the key components is for ports to share their best practices and experiences with the worldrsquos ports and various concerned parties One of the focuses of this initiative (one that the Port has volunteered to coordinate) is carbon footprinting associated with Port-related sources (Scopes 1-3) This document provides a broader domain evaluation to help facilitate those discussions and provide context to the greater carbon footprint associated with international goods movement 17 GHG Scopes The 2006 Port-wide GHG emissions are categorized based on the GHG emission scopes as defined under the International Council for Local Environmental Initiatives (ICLEI) Local Government Operations Protocol1 as illustrated in Figure 12 Scope 1 includes all direct GHG emissions from the Portrsquos municipally-controlled stationary and mobile sources Examples of Scope 1 sources include Port-owned fleet vehicles stationary generators and buildings (ie natural gas combustion) Scope 2 consists of indirect GHG emissions associated with the import and consumption of purchased electricity by the Port for its municipally-controlled sources (ie electricity used in Port-owned buildings and operations) Scope 3 emissions include Port tenantsrsquo direct emissions from stationary sources (ie natural gas combustion in buildings) mobile sources (ie ships trucks rail cargo handling equipment and harbor craft) and indirect source emissions associated with purchased electricity (ie buildings electric wharf cranes etc) Scope 3 primarily accounts for emissions associated with the operation of Port tenants Port employee vehicles are also considered under Scope 3 Scope 3 emissions are significantly higher than Scope 1 and 2 emissions In fact within a regional context Scope 3 emissions are greater than 99 percent of total municipally-related GHG emissions As geographical extents are expanded Scope 3 emissions can approach nearly 100 percent of the GHG emissions associated with good movement through a port Although inclusion of Scope 3 emissions in the Portrsquos GHG inventory is not mandatory under the Local Government Operations Protocol the expanded inventory will provide an opportunity for overall understanding quantification and context of GHG emissions associated with goods movement operations In addition since the Port has the most comprehensive data sets associated with Port tenant operations it presents the Port with the opportunity to make higher resolution estimates of its related Scope 3 emissions

1 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emissions inventories Version 10 CARB September 25 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 16 October 2009

Figure 12 2006 Port-wide GHG Emission Scopes

As in the annual emissions inventories the Port publishes this report catalogues Scope 3 emissions that are directly related to the Port specifically focusing on ship truck and train emissions outside of the SoCAB This report significantly broadens the geographical extent of the existing inventory domains as described below in the document 18 Existing Port Inventories

The Port has developed two inventories covering all three emission source Scopes Tenantsrsquo non-road mobile operational emissions have been quantified annually starting in 2001 focusing on Scope 3 mobile emissions sources Also starting in 2006 the Port started to quantify Scope 1 and 2 emissions (excluding Port tenantrsquos emissions) as part of its joining the California Climate Action Registry (CCAR)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 17 October 2009

Scope 3 - Annual Tenant Mobile Operations Inventories The Port began developing inventories for calendar year 2001 with annual updates beginning with the 2005 inventory It is currently conducting the 2008 inventory effort These inventories maximize the use of real and local data to minimize activity assumptions They involve intensive data collection efforts that include support from the Port tenants the Southern California Marine Exchange and numerous other sources The inventories are coordinated with and reviewed by CARB SCAQMD and EPA to ensure estimating methods are consistent with the latest acceptable practices Through this process the Port the tenants and the regulatory agencies are better informed on the activities and emissions associated with goods movement These annual inventories focus on Scope 3 emission categories including

Ocean-Going Vessels (OGVs) Harbor Craft (HC) Cargo Handling Equipment (CHE) Heavy-Duty Vehicles (HDVs) Rail Locomotives (RL)

The geographical domain for these source categories is regional and described fully in Section 19 below

In 2001 and 2005 emission estimates were focused on diesel particulate matter (DPM) particulate matter less than 25 and 10 microns (PM25 amp PM10) oxides of nitrogen oxides (NOx) of sulfur (SOx) carbon monoxide (CO) and hydrocarbons Starting with the 2006 inventories greenhouse gases were included into the suite of pollutants evaluated due to the rising interest in climate change Greenhouse gases that are included are CO2 CH4 and N2O which are rolled up into CO2 equivalents (CO2E)

Scopes 1 amp 2 ndash California Climate Action Registry Inventory The Port joined the CCAR in 2006 and as part of that commitment the Port submits annual inventories that cover Scope 1 and 2 emissions The CCAR inventories include the following emission sources

Scope 1 The Portrsquos municipal stationary sources (buildings stationary generators) and municipal mobile sources (on-road and non-road fleet vehicles)

Scope 2 The Portrsquos municipal electricity imports Emissions are estimated and submitted to the CCAR for public posting The geographical extent is limited to the Portrsquos municipally-controlled property

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 6: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 1 October 2009

EXECUTIVE SUMMARY This document presents the evaluation of an expanded greenhouse gas (GHG) emissions domain associated with 2006 goods movements directly linked with the Port of Los Angeles (Port) Traditionally the annual Port-related emission evaluations have been focused on a regional level within the South Coast Air Basin (SoCAB) With this study the Port has expanded the scope of those evaluations to a national scale for trucks and rail and a global scale for ships The study includes all three Scopes of GHG emission sources Scope 1 includes Port municipal operational emissions Scope 2 includes emissions associated with Port municipal energy consumption and Scope 3 primarily includes tenant operations and energy consumption related emissions as illustrated in Figure ES1

Figure ES1 2006 Port-wide GHG Emission Scopes

Scope 3 sources include the mobile operational equipment used by the tenants and shipping companies to move cargo through the Port to its final destination These mobile sources include ocean-going vessels (OGVs) heavy-duty vehicles (HDVs or trucks) cargo handling equipment (CHE) harbor craft (HC) and rail locomotives Of these sources OGVs HDVs and rail locomotives travel beyond the regional South Coast domain Port employee vehicles are also considered under Scope 3 ES1 Study Domains

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 2 October 2009

The Port-related GHG emission sources operate in three distinct geographical domains that are used to quantify activity and related emissions These domains are

South Coast Air Basin In-State Out-of-State

SoCAB Domain The SoCAB is the regional domain that is used for the annual tenant operations and includes both a land and over-water boundary The municipal GHG inventory domain is limited to Port boundaries also within the SoCAB The SoCAB land domain is presented in Figure ES2 and includes all or part of four counties Los Angeles County Riverside County Orange County and San Bernardino County

Figure ES2 South Coast Air Basin-Boundary

The SoCAB over-water boundary extends from the Ventura and Orange County lines to the western edge of the California Waters (dark blue box) as presented in Figure ES3

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 3 October 2009

Figure ES3 Maritime Sources Geographical Extent

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond it

In-State Domain The in-state domain also includes a land and over-water boundary The land boundary for this study is entire State of California outside the SoCAB boundary (to avoid double counting) The over-water boundary defined by the California Air Resources Board (CARB) is 24 nautical miles (nm) off the California Coast Again to avoid double counting for this study the ldquoIn-Staterdquo over-water boundary is the area out to 24 nm from the coast outside the SoCAB boundary (as presented in Figure ES3 above)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 4 October 2009

Out-of-State Domain The out-of-state domain also includes over-water and land components The out-of-state domainrsquos over-water component encompasses the worldrsquos oceans ndash over which ships travel to and from the Port The 2006 ship routes therefore define the OGV out-of-state domain as presented in Figure ES4

Figure ES4 2006 OGV Routes To and From the Port

The out-of-state domainrsquos land component is made up of the HDV and rail locomotive domains Trucks are typically cost competitive with rail within 600 miles from point of origin so the HDV domain is a 600 mile arc from the Port as shown in Figure ES5

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 5 October 2009

Figure ES5 Major Onroad Heavy-Duty Vehicle Routes from SoCAB Boundary to 600 Miles

The out-of-state rail locomotive domain component is out along the tracks to the major distribution centers from Los Angeles as shown in Figure ES6

Figure ES6 Main Railways Traveled by BNSF and UP from the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 6 October 2009

ES2 Carbon Footprint Summary The 2006 combined emissions footprint for Port-related GHG emissions for all three Scopes is presented in Table ES1

Table ES1 2006 Port-Related GHG Emissions Scopes 1 2 amp 3

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions The distribution of Scopes 1 2 amp 3 emissions by source types is presented in Figure ES7

Figure ES7 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 7 October 2009

The total 2006 Port-related GHG emission distribution by domain (SoCAB in-state out-of-state) is presented in Figure ES8

Figure ES8 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 8 October 2009

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories falls within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 emission distribution for the State of California is presented in Figure ES9

Figure ES9 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 9 October 2009

SECTION 1 INTRODUCTION This document presents the evaluation of an expanded Greenhouse Gas (GHG) emissions domain associated with goods movements directly linked with the Port of Los Angeles (Port) Traditionally the Port-related emission evaluations have been focused on a regional level With this study the Port has moved those evaluations to a national scale for trucks and rail and a global scale for ships 11 Background The Port is the largest container port in the United States accounting for 847 million twenty-foot equivalents (TEUs) of cargo movement in the year 2006 Although recent economic conditions have led to a decrease in cargo throughput economic forecasts suggest that demand for containerized cargo moving through the Port will increase in coming years In order to meet containerized cargo demand and practice sound environmental stewardship the Port has implemented the preparation of annual activity-based emission inventories (EIs) to monitor changes in Port-related emissions over time These inventories are based on detailed activity data and are state-of-the-art for Port-related sources To ensure that the methods and results continue to represent the best methods in emissions inventory development the Port works with a Technical Working Group (TWG) consisting of staff of the California Air Resources Board (CARB) South Coast Air Quality Management District (SCAQMD) and the United States Environmental Protection Agency (EPA) While the EI reports provide an in-depth analysis of Port-related emissions within the SoCAB the Port is now evaluating a much broader national and global geographical domain While the study domain for this report is much broader the emissions analysis is narrower focusing only on GHGs As concern over climate change increases quantification of anthropogenic GHG emissions has become a necessary first step towards reducing the emissions that cause it

12 Purpose of Study

The purpose of this study is to quantify the greater GHG emissions associated with international goods movement directly associated with the Port by expanding the geographical domain nationally and internationally This report combines the existing regional (SoCAB) level inventories with estimates of the international and national emissions associated with those regional activities for the baseline year of 2006 Emissions associated with the regional level of activity come directly from the published 2006 Port estimates that are described in Section 15 below This expanded GHG inventory contains new emission estimates from the expanded geographical extent for the following three source categories that operate beyond the regional domain

Ocean-going vessels Heavy-duty vehicles Rail locomotives

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 10 October 2009

13 Cargo Movements Included For activities beyond the existing geographical boundaries of the annual inventories emissions are estimated from cargo movements within the following geographical extents

Ocean-going vessels All ships inbound and outbound to and from the Port from the shiprsquos originating port or next port of call as described in Section 2 of this report

Heavy-duty vehicles (trucks) inbound and outbound truck movements to and from the Port to population centers within 600 miles of the Port as described in Section 3 of this report

Rail locomotives All Union Pacific (UP) and Burlington Northern Santa Fe (BNSF) (Class 1) inbound and outbound rail movements to and from the Port to major rail cargo destinations as described in Section 4 of this report

The cargo movements that are included in this expanded GHG inventory only represent the direct movements to or from the Port They are not intended to represent the greater international goods movement within the SoCAB or the expanded geographical area An example where this distinction is important is with container ships Most ships follow trans-Pacific routes to the Port directly from Asia and then go to other west coast ports such as Oakland Seattle Tacoma etc The reverse can be true where the ship first arrives from a trans-Pacific voyage at one of these other west coast ports comes to the Port and then returns to Asia Therefore the majority of arrival and departures directly associated with the Port do not include two trans-Pacific legs A significant amount of cargo movement is indirectly associated with international goods movement but not directly related to the Port An example would be imported goods that have been removed from international shipping containers to be distributed from transloading centers and repackaged into domestic trailers for local or regional transport The movement of these goods after the transloading facility is not included in the expanded Port greenhouse gas emissions inventory

14 Greenhouse Gases

Climate change is a global concern During the 20th century global average temperatures increased about one degree centigrade Over the next 100 years temperatures are likely to increase another two to ten degrees centigrade Climate models show that this overall increase in temperature will cause dramatic changes to regional climates and increase the instance and intensity of severe weather events

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 11 October 2009

GHGs are gases present in the earths atmosphere that reduce the loss of heat into space GHGs primarily include water vapor carbon dioxide (CO2) methane (CH4) nitrous oxide (N2O) and certain fluorinated gases used in commercial and industrial applications GHGs affect climate as they concentrate in the Earthrsquos atmosphere and trap heat by blocking some of the long-wave energy normally radiated back into space While some GHGs occur naturally there is widespread agreement among climate scientists worldwide that human activity is increasing the GHGs in the Earthrsquos atmosphere and accelerating global warming and the accompanying changes in climate patterns that accompany it Activities that release GHGs into the air include those that occur in and around a port setting such as the burning of fossil fuels for industrial operations transportation heating and electricity The potential consequences of global warming to Los Angeles include longer and hotter summers longer droughts more devastating wildfires and shortages of public water all of which threaten public health and the economy 15 The Bigger Picture Goods Movement amp Climate Change Traditionally air quality efforts in Southern California and the United States have focused on pollutants that impact the local or regional populations With respect to climate change emissions released anywhere along the goods movement logistic chains can have a negative impact on GHG concentrations globally meaning itrsquos not just a local concern When estimating the Port-related GHG emissions from goods movement activities that pass directly through Port the expanded geographical domain of those activities brings into focus a significant source that is not accounted for in local or regional inventories

This is particularly acute in Ocean-going Vessel (OGV) inventories For example when looking at the emissions covered in the existing Port tenantsrsquo inventories only the local energy demand of ships calling on the Port is estimated In this local domain the ship is typically transitioning from sea speed to maneuvering speeds and operations at-berth (when the propulsion engines are off) The same activities are evaluated on the Asian side as a local concern of the people there However the significant majority of a vesselrsquos energy demand (which is directly related to emissions) occurs during the trans-Pacific leg (international) and is not included in the local inventories It is during this international phase that the shiprsquos energy demand is at its highest because the propulsion engine(s) is operating at its highest level and transiting time is significantly longer than the shiprsquos time at berth This is illustrated in Figure 11

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 12 October 2009

0

5

10

15

20

25

30

35

40

45

Ene

rgy

Dem

and

(MW

)

Energy (MW) 2 5 7 4 2

Ber

th

Men

uv -

Dep

art

PZM

enuv

-Ar

riva

lB

erth

LA

LocalInternationalLocal

41

Trans Pacific

Tran

s

18

Tran

s

17

Figure 11 Energy Demand Example Trans Pacific Transit from Shanghai to Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 13 October 2009

This study represents the first detailed Port-related evaluation of GHG emission levels from ships arriving and departing from their previous and next port respectfully The results of this study can be used to frame further carbon footprinting discussions on domain and sources contributions associated with ports

16 Climate Change Regulations amp Initiatives California has been the leading the nation in developing a regulatory mechanism to respond to the threat of climate change The California Global Warming Solutions Act of 2006 is the first comprehensive climate change regulation in the United States Internationally the International Maritime Organization (IMO) is currently working on greenhouse gas indexing of ships and potential engine and fuel standards targeting these pollutants Also on the international front the International Association of Ports and Harbors (IAPH) board recently signed the World Ports Climate Initiative (WPCI) The IAPH environmental subcommittee held its first symposium in Los Angeles in November 2008 in support of the WPCI and to start work on the initiatives associated with the WPCI More on these initiatives are provided below

The California Global Warming Solutions Act ndash Assembly Bill 32 Assembly Bill 32 (AB 32) the California Global Warming Solutions Act of 2006 establishes a first-in-the world comprehensive program requiring the CARB to develop regulatory and market mechanisms that will ultimately reduce GHG emissions to 1990 levels by the year 2020 and reduce emissions to 80 percent below 1990 levels by 2050 Mandatory caps will begin in 2012 for significant sources and ratchet down to meet the 2020 goals In the interim CARB will begin to measure the GHG emissions of industries determined to be significant sources In December 2008 CARB approved a Climate Change Scoping Plan to achieve the reductions in GHG emissions mandated in AB 32 The AB 32 Scoping Plan contains the main strategies that California will use to reduce GHG emissions Several of these measures are targeted at goods movement including Port-related goods movement and are expected to achieve a combined 37 million metric tons of carbon dioxide equivalent Proposed goods movement measures in the Scoping Plan include

T-5 Ship electrification at ports (previously adopted as regulation in December

2007) T-6 Goods movement efficiency measures

CARB has set guidelines on emission sources or ldquoScopesrdquo which ports and port tenants should include in determining their carbon footprint as well as the geographical domain for the State of California These guidelines are discussed further in Section 17

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 14 October 2009

IMO Greenhouse Gases Initiatives IMOrsquos Maritime Environmental Protection Committee (MEPC) is currently working on developing ldquocoherent and comprehensive future IMO regulatory framework on GHG emissions from shipsrdquo This regulatory framework is scheduled to be presented at the Copenhagen Conference in December 2009 In October 2008 MEPC voted unanimously to approve more stringent marine fuel sulfur limits expanded pollutant Emission Control Areas (ECAs) and marine engine standards These requirements tightened down the existing Annex VI regulations that had been previously adopted In March 2009 the United States and Canada jointly proposed to IMOrsquos MEPC the designation of an ECA for specified portions of the United States and Canadian coastal waters If approved the designation will require all vessels operating within the ECA (whether or not destined for either country) to reduce emissions IAPH World Ports Climate Initiative The principal objective of the IAPH is to develop and foster good relations and cooperation among ports and harbors worldwide by providing a forum to exchange opinions and share experiences on the latest trends of Port management and operations IAPH strives to emphasize and promote the fact that Ports form a vital link in the waterborne transportation of goods and play a vital role in todays global economy IAPH is committed to the protection of environment viewing it as an indispensable element of sustainable economic growth Dr Geraldine Knatz Executive Director of the Port of Los Angeles chairs the IAPH Environmental Committee Recognized as the only international organization representing the voice of the world port industry IAPH is granted Consultative Status as a Non-Governmental Organization (NGO) from five United Nations (UN) specialized agencies and one intergovernmental body

UN Economic and Social Council (ECOSOC) International Maritime Organization (IMO) UN Conference on Trade and Development (UNCTAD) UN Environment Programme (UNEP) International Labour Office (ILO) World Customs Organization (WCO)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 15 October 2009

In July 2008 55 member ports (including the Port) adopted the World Ports Climate Declaration which calls for member and non-member ports to work together through the forum provided by IAPH to address climate change issues One of the key components is for ports to share their best practices and experiences with the worldrsquos ports and various concerned parties One of the focuses of this initiative (one that the Port has volunteered to coordinate) is carbon footprinting associated with Port-related sources (Scopes 1-3) This document provides a broader domain evaluation to help facilitate those discussions and provide context to the greater carbon footprint associated with international goods movement 17 GHG Scopes The 2006 Port-wide GHG emissions are categorized based on the GHG emission scopes as defined under the International Council for Local Environmental Initiatives (ICLEI) Local Government Operations Protocol1 as illustrated in Figure 12 Scope 1 includes all direct GHG emissions from the Portrsquos municipally-controlled stationary and mobile sources Examples of Scope 1 sources include Port-owned fleet vehicles stationary generators and buildings (ie natural gas combustion) Scope 2 consists of indirect GHG emissions associated with the import and consumption of purchased electricity by the Port for its municipally-controlled sources (ie electricity used in Port-owned buildings and operations) Scope 3 emissions include Port tenantsrsquo direct emissions from stationary sources (ie natural gas combustion in buildings) mobile sources (ie ships trucks rail cargo handling equipment and harbor craft) and indirect source emissions associated with purchased electricity (ie buildings electric wharf cranes etc) Scope 3 primarily accounts for emissions associated with the operation of Port tenants Port employee vehicles are also considered under Scope 3 Scope 3 emissions are significantly higher than Scope 1 and 2 emissions In fact within a regional context Scope 3 emissions are greater than 99 percent of total municipally-related GHG emissions As geographical extents are expanded Scope 3 emissions can approach nearly 100 percent of the GHG emissions associated with good movement through a port Although inclusion of Scope 3 emissions in the Portrsquos GHG inventory is not mandatory under the Local Government Operations Protocol the expanded inventory will provide an opportunity for overall understanding quantification and context of GHG emissions associated with goods movement operations In addition since the Port has the most comprehensive data sets associated with Port tenant operations it presents the Port with the opportunity to make higher resolution estimates of its related Scope 3 emissions

1 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emissions inventories Version 10 CARB September 25 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 16 October 2009

Figure 12 2006 Port-wide GHG Emission Scopes

As in the annual emissions inventories the Port publishes this report catalogues Scope 3 emissions that are directly related to the Port specifically focusing on ship truck and train emissions outside of the SoCAB This report significantly broadens the geographical extent of the existing inventory domains as described below in the document 18 Existing Port Inventories

The Port has developed two inventories covering all three emission source Scopes Tenantsrsquo non-road mobile operational emissions have been quantified annually starting in 2001 focusing on Scope 3 mobile emissions sources Also starting in 2006 the Port started to quantify Scope 1 and 2 emissions (excluding Port tenantrsquos emissions) as part of its joining the California Climate Action Registry (CCAR)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 17 October 2009

Scope 3 - Annual Tenant Mobile Operations Inventories The Port began developing inventories for calendar year 2001 with annual updates beginning with the 2005 inventory It is currently conducting the 2008 inventory effort These inventories maximize the use of real and local data to minimize activity assumptions They involve intensive data collection efforts that include support from the Port tenants the Southern California Marine Exchange and numerous other sources The inventories are coordinated with and reviewed by CARB SCAQMD and EPA to ensure estimating methods are consistent with the latest acceptable practices Through this process the Port the tenants and the regulatory agencies are better informed on the activities and emissions associated with goods movement These annual inventories focus on Scope 3 emission categories including

Ocean-Going Vessels (OGVs) Harbor Craft (HC) Cargo Handling Equipment (CHE) Heavy-Duty Vehicles (HDVs) Rail Locomotives (RL)

The geographical domain for these source categories is regional and described fully in Section 19 below

In 2001 and 2005 emission estimates were focused on diesel particulate matter (DPM) particulate matter less than 25 and 10 microns (PM25 amp PM10) oxides of nitrogen oxides (NOx) of sulfur (SOx) carbon monoxide (CO) and hydrocarbons Starting with the 2006 inventories greenhouse gases were included into the suite of pollutants evaluated due to the rising interest in climate change Greenhouse gases that are included are CO2 CH4 and N2O which are rolled up into CO2 equivalents (CO2E)

Scopes 1 amp 2 ndash California Climate Action Registry Inventory The Port joined the CCAR in 2006 and as part of that commitment the Port submits annual inventories that cover Scope 1 and 2 emissions The CCAR inventories include the following emission sources

Scope 1 The Portrsquos municipal stationary sources (buildings stationary generators) and municipal mobile sources (on-road and non-road fleet vehicles)

Scope 2 The Portrsquos municipal electricity imports Emissions are estimated and submitted to the CCAR for public posting The geographical extent is limited to the Portrsquos municipally-controlled property

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 7: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 2 October 2009

The Port-related GHG emission sources operate in three distinct geographical domains that are used to quantify activity and related emissions These domains are

South Coast Air Basin In-State Out-of-State

SoCAB Domain The SoCAB is the regional domain that is used for the annual tenant operations and includes both a land and over-water boundary The municipal GHG inventory domain is limited to Port boundaries also within the SoCAB The SoCAB land domain is presented in Figure ES2 and includes all or part of four counties Los Angeles County Riverside County Orange County and San Bernardino County

Figure ES2 South Coast Air Basin-Boundary

The SoCAB over-water boundary extends from the Ventura and Orange County lines to the western edge of the California Waters (dark blue box) as presented in Figure ES3

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 3 October 2009

Figure ES3 Maritime Sources Geographical Extent

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond it

In-State Domain The in-state domain also includes a land and over-water boundary The land boundary for this study is entire State of California outside the SoCAB boundary (to avoid double counting) The over-water boundary defined by the California Air Resources Board (CARB) is 24 nautical miles (nm) off the California Coast Again to avoid double counting for this study the ldquoIn-Staterdquo over-water boundary is the area out to 24 nm from the coast outside the SoCAB boundary (as presented in Figure ES3 above)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 4 October 2009

Out-of-State Domain The out-of-state domain also includes over-water and land components The out-of-state domainrsquos over-water component encompasses the worldrsquos oceans ndash over which ships travel to and from the Port The 2006 ship routes therefore define the OGV out-of-state domain as presented in Figure ES4

Figure ES4 2006 OGV Routes To and From the Port

The out-of-state domainrsquos land component is made up of the HDV and rail locomotive domains Trucks are typically cost competitive with rail within 600 miles from point of origin so the HDV domain is a 600 mile arc from the Port as shown in Figure ES5

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 5 October 2009

Figure ES5 Major Onroad Heavy-Duty Vehicle Routes from SoCAB Boundary to 600 Miles

The out-of-state rail locomotive domain component is out along the tracks to the major distribution centers from Los Angeles as shown in Figure ES6

Figure ES6 Main Railways Traveled by BNSF and UP from the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 6 October 2009

ES2 Carbon Footprint Summary The 2006 combined emissions footprint for Port-related GHG emissions for all three Scopes is presented in Table ES1

Table ES1 2006 Port-Related GHG Emissions Scopes 1 2 amp 3

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions The distribution of Scopes 1 2 amp 3 emissions by source types is presented in Figure ES7

Figure ES7 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 7 October 2009

The total 2006 Port-related GHG emission distribution by domain (SoCAB in-state out-of-state) is presented in Figure ES8

Figure ES8 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 8 October 2009

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories falls within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 emission distribution for the State of California is presented in Figure ES9

Figure ES9 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 9 October 2009

SECTION 1 INTRODUCTION This document presents the evaluation of an expanded Greenhouse Gas (GHG) emissions domain associated with goods movements directly linked with the Port of Los Angeles (Port) Traditionally the Port-related emission evaluations have been focused on a regional level With this study the Port has moved those evaluations to a national scale for trucks and rail and a global scale for ships 11 Background The Port is the largest container port in the United States accounting for 847 million twenty-foot equivalents (TEUs) of cargo movement in the year 2006 Although recent economic conditions have led to a decrease in cargo throughput economic forecasts suggest that demand for containerized cargo moving through the Port will increase in coming years In order to meet containerized cargo demand and practice sound environmental stewardship the Port has implemented the preparation of annual activity-based emission inventories (EIs) to monitor changes in Port-related emissions over time These inventories are based on detailed activity data and are state-of-the-art for Port-related sources To ensure that the methods and results continue to represent the best methods in emissions inventory development the Port works with a Technical Working Group (TWG) consisting of staff of the California Air Resources Board (CARB) South Coast Air Quality Management District (SCAQMD) and the United States Environmental Protection Agency (EPA) While the EI reports provide an in-depth analysis of Port-related emissions within the SoCAB the Port is now evaluating a much broader national and global geographical domain While the study domain for this report is much broader the emissions analysis is narrower focusing only on GHGs As concern over climate change increases quantification of anthropogenic GHG emissions has become a necessary first step towards reducing the emissions that cause it

12 Purpose of Study

The purpose of this study is to quantify the greater GHG emissions associated with international goods movement directly associated with the Port by expanding the geographical domain nationally and internationally This report combines the existing regional (SoCAB) level inventories with estimates of the international and national emissions associated with those regional activities for the baseline year of 2006 Emissions associated with the regional level of activity come directly from the published 2006 Port estimates that are described in Section 15 below This expanded GHG inventory contains new emission estimates from the expanded geographical extent for the following three source categories that operate beyond the regional domain

Ocean-going vessels Heavy-duty vehicles Rail locomotives

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 10 October 2009

13 Cargo Movements Included For activities beyond the existing geographical boundaries of the annual inventories emissions are estimated from cargo movements within the following geographical extents

Ocean-going vessels All ships inbound and outbound to and from the Port from the shiprsquos originating port or next port of call as described in Section 2 of this report

Heavy-duty vehicles (trucks) inbound and outbound truck movements to and from the Port to population centers within 600 miles of the Port as described in Section 3 of this report

Rail locomotives All Union Pacific (UP) and Burlington Northern Santa Fe (BNSF) (Class 1) inbound and outbound rail movements to and from the Port to major rail cargo destinations as described in Section 4 of this report

The cargo movements that are included in this expanded GHG inventory only represent the direct movements to or from the Port They are not intended to represent the greater international goods movement within the SoCAB or the expanded geographical area An example where this distinction is important is with container ships Most ships follow trans-Pacific routes to the Port directly from Asia and then go to other west coast ports such as Oakland Seattle Tacoma etc The reverse can be true where the ship first arrives from a trans-Pacific voyage at one of these other west coast ports comes to the Port and then returns to Asia Therefore the majority of arrival and departures directly associated with the Port do not include two trans-Pacific legs A significant amount of cargo movement is indirectly associated with international goods movement but not directly related to the Port An example would be imported goods that have been removed from international shipping containers to be distributed from transloading centers and repackaged into domestic trailers for local or regional transport The movement of these goods after the transloading facility is not included in the expanded Port greenhouse gas emissions inventory

14 Greenhouse Gases

Climate change is a global concern During the 20th century global average temperatures increased about one degree centigrade Over the next 100 years temperatures are likely to increase another two to ten degrees centigrade Climate models show that this overall increase in temperature will cause dramatic changes to regional climates and increase the instance and intensity of severe weather events

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 11 October 2009

GHGs are gases present in the earths atmosphere that reduce the loss of heat into space GHGs primarily include water vapor carbon dioxide (CO2) methane (CH4) nitrous oxide (N2O) and certain fluorinated gases used in commercial and industrial applications GHGs affect climate as they concentrate in the Earthrsquos atmosphere and trap heat by blocking some of the long-wave energy normally radiated back into space While some GHGs occur naturally there is widespread agreement among climate scientists worldwide that human activity is increasing the GHGs in the Earthrsquos atmosphere and accelerating global warming and the accompanying changes in climate patterns that accompany it Activities that release GHGs into the air include those that occur in and around a port setting such as the burning of fossil fuels for industrial operations transportation heating and electricity The potential consequences of global warming to Los Angeles include longer and hotter summers longer droughts more devastating wildfires and shortages of public water all of which threaten public health and the economy 15 The Bigger Picture Goods Movement amp Climate Change Traditionally air quality efforts in Southern California and the United States have focused on pollutants that impact the local or regional populations With respect to climate change emissions released anywhere along the goods movement logistic chains can have a negative impact on GHG concentrations globally meaning itrsquos not just a local concern When estimating the Port-related GHG emissions from goods movement activities that pass directly through Port the expanded geographical domain of those activities brings into focus a significant source that is not accounted for in local or regional inventories

This is particularly acute in Ocean-going Vessel (OGV) inventories For example when looking at the emissions covered in the existing Port tenantsrsquo inventories only the local energy demand of ships calling on the Port is estimated In this local domain the ship is typically transitioning from sea speed to maneuvering speeds and operations at-berth (when the propulsion engines are off) The same activities are evaluated on the Asian side as a local concern of the people there However the significant majority of a vesselrsquos energy demand (which is directly related to emissions) occurs during the trans-Pacific leg (international) and is not included in the local inventories It is during this international phase that the shiprsquos energy demand is at its highest because the propulsion engine(s) is operating at its highest level and transiting time is significantly longer than the shiprsquos time at berth This is illustrated in Figure 11

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 12 October 2009

0

5

10

15

20

25

30

35

40

45

Ene

rgy

Dem

and

(MW

)

Energy (MW) 2 5 7 4 2

Ber

th

Men

uv -

Dep

art

PZM

enuv

-Ar

riva

lB

erth

LA

LocalInternationalLocal

41

Trans Pacific

Tran

s

18

Tran

s

17

Figure 11 Energy Demand Example Trans Pacific Transit from Shanghai to Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 13 October 2009

This study represents the first detailed Port-related evaluation of GHG emission levels from ships arriving and departing from their previous and next port respectfully The results of this study can be used to frame further carbon footprinting discussions on domain and sources contributions associated with ports

16 Climate Change Regulations amp Initiatives California has been the leading the nation in developing a regulatory mechanism to respond to the threat of climate change The California Global Warming Solutions Act of 2006 is the first comprehensive climate change regulation in the United States Internationally the International Maritime Organization (IMO) is currently working on greenhouse gas indexing of ships and potential engine and fuel standards targeting these pollutants Also on the international front the International Association of Ports and Harbors (IAPH) board recently signed the World Ports Climate Initiative (WPCI) The IAPH environmental subcommittee held its first symposium in Los Angeles in November 2008 in support of the WPCI and to start work on the initiatives associated with the WPCI More on these initiatives are provided below

The California Global Warming Solutions Act ndash Assembly Bill 32 Assembly Bill 32 (AB 32) the California Global Warming Solutions Act of 2006 establishes a first-in-the world comprehensive program requiring the CARB to develop regulatory and market mechanisms that will ultimately reduce GHG emissions to 1990 levels by the year 2020 and reduce emissions to 80 percent below 1990 levels by 2050 Mandatory caps will begin in 2012 for significant sources and ratchet down to meet the 2020 goals In the interim CARB will begin to measure the GHG emissions of industries determined to be significant sources In December 2008 CARB approved a Climate Change Scoping Plan to achieve the reductions in GHG emissions mandated in AB 32 The AB 32 Scoping Plan contains the main strategies that California will use to reduce GHG emissions Several of these measures are targeted at goods movement including Port-related goods movement and are expected to achieve a combined 37 million metric tons of carbon dioxide equivalent Proposed goods movement measures in the Scoping Plan include

T-5 Ship electrification at ports (previously adopted as regulation in December

2007) T-6 Goods movement efficiency measures

CARB has set guidelines on emission sources or ldquoScopesrdquo which ports and port tenants should include in determining their carbon footprint as well as the geographical domain for the State of California These guidelines are discussed further in Section 17

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 14 October 2009

IMO Greenhouse Gases Initiatives IMOrsquos Maritime Environmental Protection Committee (MEPC) is currently working on developing ldquocoherent and comprehensive future IMO regulatory framework on GHG emissions from shipsrdquo This regulatory framework is scheduled to be presented at the Copenhagen Conference in December 2009 In October 2008 MEPC voted unanimously to approve more stringent marine fuel sulfur limits expanded pollutant Emission Control Areas (ECAs) and marine engine standards These requirements tightened down the existing Annex VI regulations that had been previously adopted In March 2009 the United States and Canada jointly proposed to IMOrsquos MEPC the designation of an ECA for specified portions of the United States and Canadian coastal waters If approved the designation will require all vessels operating within the ECA (whether or not destined for either country) to reduce emissions IAPH World Ports Climate Initiative The principal objective of the IAPH is to develop and foster good relations and cooperation among ports and harbors worldwide by providing a forum to exchange opinions and share experiences on the latest trends of Port management and operations IAPH strives to emphasize and promote the fact that Ports form a vital link in the waterborne transportation of goods and play a vital role in todays global economy IAPH is committed to the protection of environment viewing it as an indispensable element of sustainable economic growth Dr Geraldine Knatz Executive Director of the Port of Los Angeles chairs the IAPH Environmental Committee Recognized as the only international organization representing the voice of the world port industry IAPH is granted Consultative Status as a Non-Governmental Organization (NGO) from five United Nations (UN) specialized agencies and one intergovernmental body

UN Economic and Social Council (ECOSOC) International Maritime Organization (IMO) UN Conference on Trade and Development (UNCTAD) UN Environment Programme (UNEP) International Labour Office (ILO) World Customs Organization (WCO)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 15 October 2009

In July 2008 55 member ports (including the Port) adopted the World Ports Climate Declaration which calls for member and non-member ports to work together through the forum provided by IAPH to address climate change issues One of the key components is for ports to share their best practices and experiences with the worldrsquos ports and various concerned parties One of the focuses of this initiative (one that the Port has volunteered to coordinate) is carbon footprinting associated with Port-related sources (Scopes 1-3) This document provides a broader domain evaluation to help facilitate those discussions and provide context to the greater carbon footprint associated with international goods movement 17 GHG Scopes The 2006 Port-wide GHG emissions are categorized based on the GHG emission scopes as defined under the International Council for Local Environmental Initiatives (ICLEI) Local Government Operations Protocol1 as illustrated in Figure 12 Scope 1 includes all direct GHG emissions from the Portrsquos municipally-controlled stationary and mobile sources Examples of Scope 1 sources include Port-owned fleet vehicles stationary generators and buildings (ie natural gas combustion) Scope 2 consists of indirect GHG emissions associated with the import and consumption of purchased electricity by the Port for its municipally-controlled sources (ie electricity used in Port-owned buildings and operations) Scope 3 emissions include Port tenantsrsquo direct emissions from stationary sources (ie natural gas combustion in buildings) mobile sources (ie ships trucks rail cargo handling equipment and harbor craft) and indirect source emissions associated with purchased electricity (ie buildings electric wharf cranes etc) Scope 3 primarily accounts for emissions associated with the operation of Port tenants Port employee vehicles are also considered under Scope 3 Scope 3 emissions are significantly higher than Scope 1 and 2 emissions In fact within a regional context Scope 3 emissions are greater than 99 percent of total municipally-related GHG emissions As geographical extents are expanded Scope 3 emissions can approach nearly 100 percent of the GHG emissions associated with good movement through a port Although inclusion of Scope 3 emissions in the Portrsquos GHG inventory is not mandatory under the Local Government Operations Protocol the expanded inventory will provide an opportunity for overall understanding quantification and context of GHG emissions associated with goods movement operations In addition since the Port has the most comprehensive data sets associated with Port tenant operations it presents the Port with the opportunity to make higher resolution estimates of its related Scope 3 emissions

1 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emissions inventories Version 10 CARB September 25 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 16 October 2009

Figure 12 2006 Port-wide GHG Emission Scopes

As in the annual emissions inventories the Port publishes this report catalogues Scope 3 emissions that are directly related to the Port specifically focusing on ship truck and train emissions outside of the SoCAB This report significantly broadens the geographical extent of the existing inventory domains as described below in the document 18 Existing Port Inventories

The Port has developed two inventories covering all three emission source Scopes Tenantsrsquo non-road mobile operational emissions have been quantified annually starting in 2001 focusing on Scope 3 mobile emissions sources Also starting in 2006 the Port started to quantify Scope 1 and 2 emissions (excluding Port tenantrsquos emissions) as part of its joining the California Climate Action Registry (CCAR)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 17 October 2009

Scope 3 - Annual Tenant Mobile Operations Inventories The Port began developing inventories for calendar year 2001 with annual updates beginning with the 2005 inventory It is currently conducting the 2008 inventory effort These inventories maximize the use of real and local data to minimize activity assumptions They involve intensive data collection efforts that include support from the Port tenants the Southern California Marine Exchange and numerous other sources The inventories are coordinated with and reviewed by CARB SCAQMD and EPA to ensure estimating methods are consistent with the latest acceptable practices Through this process the Port the tenants and the regulatory agencies are better informed on the activities and emissions associated with goods movement These annual inventories focus on Scope 3 emission categories including

Ocean-Going Vessels (OGVs) Harbor Craft (HC) Cargo Handling Equipment (CHE) Heavy-Duty Vehicles (HDVs) Rail Locomotives (RL)

The geographical domain for these source categories is regional and described fully in Section 19 below

In 2001 and 2005 emission estimates were focused on diesel particulate matter (DPM) particulate matter less than 25 and 10 microns (PM25 amp PM10) oxides of nitrogen oxides (NOx) of sulfur (SOx) carbon monoxide (CO) and hydrocarbons Starting with the 2006 inventories greenhouse gases were included into the suite of pollutants evaluated due to the rising interest in climate change Greenhouse gases that are included are CO2 CH4 and N2O which are rolled up into CO2 equivalents (CO2E)

Scopes 1 amp 2 ndash California Climate Action Registry Inventory The Port joined the CCAR in 2006 and as part of that commitment the Port submits annual inventories that cover Scope 1 and 2 emissions The CCAR inventories include the following emission sources

Scope 1 The Portrsquos municipal stationary sources (buildings stationary generators) and municipal mobile sources (on-road and non-road fleet vehicles)

Scope 2 The Portrsquos municipal electricity imports Emissions are estimated and submitted to the CCAR for public posting The geographical extent is limited to the Portrsquos municipally-controlled property

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 8: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 3 October 2009

Figure ES3 Maritime Sources Geographical Extent

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond it

In-State Domain The in-state domain also includes a land and over-water boundary The land boundary for this study is entire State of California outside the SoCAB boundary (to avoid double counting) The over-water boundary defined by the California Air Resources Board (CARB) is 24 nautical miles (nm) off the California Coast Again to avoid double counting for this study the ldquoIn-Staterdquo over-water boundary is the area out to 24 nm from the coast outside the SoCAB boundary (as presented in Figure ES3 above)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 4 October 2009

Out-of-State Domain The out-of-state domain also includes over-water and land components The out-of-state domainrsquos over-water component encompasses the worldrsquos oceans ndash over which ships travel to and from the Port The 2006 ship routes therefore define the OGV out-of-state domain as presented in Figure ES4

Figure ES4 2006 OGV Routes To and From the Port

The out-of-state domainrsquos land component is made up of the HDV and rail locomotive domains Trucks are typically cost competitive with rail within 600 miles from point of origin so the HDV domain is a 600 mile arc from the Port as shown in Figure ES5

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 5 October 2009

Figure ES5 Major Onroad Heavy-Duty Vehicle Routes from SoCAB Boundary to 600 Miles

The out-of-state rail locomotive domain component is out along the tracks to the major distribution centers from Los Angeles as shown in Figure ES6

Figure ES6 Main Railways Traveled by BNSF and UP from the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 6 October 2009

ES2 Carbon Footprint Summary The 2006 combined emissions footprint for Port-related GHG emissions for all three Scopes is presented in Table ES1

Table ES1 2006 Port-Related GHG Emissions Scopes 1 2 amp 3

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions The distribution of Scopes 1 2 amp 3 emissions by source types is presented in Figure ES7

Figure ES7 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 7 October 2009

The total 2006 Port-related GHG emission distribution by domain (SoCAB in-state out-of-state) is presented in Figure ES8

Figure ES8 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 8 October 2009

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories falls within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 emission distribution for the State of California is presented in Figure ES9

Figure ES9 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 9 October 2009

SECTION 1 INTRODUCTION This document presents the evaluation of an expanded Greenhouse Gas (GHG) emissions domain associated with goods movements directly linked with the Port of Los Angeles (Port) Traditionally the Port-related emission evaluations have been focused on a regional level With this study the Port has moved those evaluations to a national scale for trucks and rail and a global scale for ships 11 Background The Port is the largest container port in the United States accounting for 847 million twenty-foot equivalents (TEUs) of cargo movement in the year 2006 Although recent economic conditions have led to a decrease in cargo throughput economic forecasts suggest that demand for containerized cargo moving through the Port will increase in coming years In order to meet containerized cargo demand and practice sound environmental stewardship the Port has implemented the preparation of annual activity-based emission inventories (EIs) to monitor changes in Port-related emissions over time These inventories are based on detailed activity data and are state-of-the-art for Port-related sources To ensure that the methods and results continue to represent the best methods in emissions inventory development the Port works with a Technical Working Group (TWG) consisting of staff of the California Air Resources Board (CARB) South Coast Air Quality Management District (SCAQMD) and the United States Environmental Protection Agency (EPA) While the EI reports provide an in-depth analysis of Port-related emissions within the SoCAB the Port is now evaluating a much broader national and global geographical domain While the study domain for this report is much broader the emissions analysis is narrower focusing only on GHGs As concern over climate change increases quantification of anthropogenic GHG emissions has become a necessary first step towards reducing the emissions that cause it

12 Purpose of Study

The purpose of this study is to quantify the greater GHG emissions associated with international goods movement directly associated with the Port by expanding the geographical domain nationally and internationally This report combines the existing regional (SoCAB) level inventories with estimates of the international and national emissions associated with those regional activities for the baseline year of 2006 Emissions associated with the regional level of activity come directly from the published 2006 Port estimates that are described in Section 15 below This expanded GHG inventory contains new emission estimates from the expanded geographical extent for the following three source categories that operate beyond the regional domain

Ocean-going vessels Heavy-duty vehicles Rail locomotives

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 10 October 2009

13 Cargo Movements Included For activities beyond the existing geographical boundaries of the annual inventories emissions are estimated from cargo movements within the following geographical extents

Ocean-going vessels All ships inbound and outbound to and from the Port from the shiprsquos originating port or next port of call as described in Section 2 of this report

Heavy-duty vehicles (trucks) inbound and outbound truck movements to and from the Port to population centers within 600 miles of the Port as described in Section 3 of this report

Rail locomotives All Union Pacific (UP) and Burlington Northern Santa Fe (BNSF) (Class 1) inbound and outbound rail movements to and from the Port to major rail cargo destinations as described in Section 4 of this report

The cargo movements that are included in this expanded GHG inventory only represent the direct movements to or from the Port They are not intended to represent the greater international goods movement within the SoCAB or the expanded geographical area An example where this distinction is important is with container ships Most ships follow trans-Pacific routes to the Port directly from Asia and then go to other west coast ports such as Oakland Seattle Tacoma etc The reverse can be true where the ship first arrives from a trans-Pacific voyage at one of these other west coast ports comes to the Port and then returns to Asia Therefore the majority of arrival and departures directly associated with the Port do not include two trans-Pacific legs A significant amount of cargo movement is indirectly associated with international goods movement but not directly related to the Port An example would be imported goods that have been removed from international shipping containers to be distributed from transloading centers and repackaged into domestic trailers for local or regional transport The movement of these goods after the transloading facility is not included in the expanded Port greenhouse gas emissions inventory

14 Greenhouse Gases

Climate change is a global concern During the 20th century global average temperatures increased about one degree centigrade Over the next 100 years temperatures are likely to increase another two to ten degrees centigrade Climate models show that this overall increase in temperature will cause dramatic changes to regional climates and increase the instance and intensity of severe weather events

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 11 October 2009

GHGs are gases present in the earths atmosphere that reduce the loss of heat into space GHGs primarily include water vapor carbon dioxide (CO2) methane (CH4) nitrous oxide (N2O) and certain fluorinated gases used in commercial and industrial applications GHGs affect climate as they concentrate in the Earthrsquos atmosphere and trap heat by blocking some of the long-wave energy normally radiated back into space While some GHGs occur naturally there is widespread agreement among climate scientists worldwide that human activity is increasing the GHGs in the Earthrsquos atmosphere and accelerating global warming and the accompanying changes in climate patterns that accompany it Activities that release GHGs into the air include those that occur in and around a port setting such as the burning of fossil fuels for industrial operations transportation heating and electricity The potential consequences of global warming to Los Angeles include longer and hotter summers longer droughts more devastating wildfires and shortages of public water all of which threaten public health and the economy 15 The Bigger Picture Goods Movement amp Climate Change Traditionally air quality efforts in Southern California and the United States have focused on pollutants that impact the local or regional populations With respect to climate change emissions released anywhere along the goods movement logistic chains can have a negative impact on GHG concentrations globally meaning itrsquos not just a local concern When estimating the Port-related GHG emissions from goods movement activities that pass directly through Port the expanded geographical domain of those activities brings into focus a significant source that is not accounted for in local or regional inventories

This is particularly acute in Ocean-going Vessel (OGV) inventories For example when looking at the emissions covered in the existing Port tenantsrsquo inventories only the local energy demand of ships calling on the Port is estimated In this local domain the ship is typically transitioning from sea speed to maneuvering speeds and operations at-berth (when the propulsion engines are off) The same activities are evaluated on the Asian side as a local concern of the people there However the significant majority of a vesselrsquos energy demand (which is directly related to emissions) occurs during the trans-Pacific leg (international) and is not included in the local inventories It is during this international phase that the shiprsquos energy demand is at its highest because the propulsion engine(s) is operating at its highest level and transiting time is significantly longer than the shiprsquos time at berth This is illustrated in Figure 11

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 12 October 2009

0

5

10

15

20

25

30

35

40

45

Ene

rgy

Dem

and

(MW

)

Energy (MW) 2 5 7 4 2

Ber

th

Men

uv -

Dep

art

PZM

enuv

-Ar

riva

lB

erth

LA

LocalInternationalLocal

41

Trans Pacific

Tran

s

18

Tran

s

17

Figure 11 Energy Demand Example Trans Pacific Transit from Shanghai to Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 13 October 2009

This study represents the first detailed Port-related evaluation of GHG emission levels from ships arriving and departing from their previous and next port respectfully The results of this study can be used to frame further carbon footprinting discussions on domain and sources contributions associated with ports

16 Climate Change Regulations amp Initiatives California has been the leading the nation in developing a regulatory mechanism to respond to the threat of climate change The California Global Warming Solutions Act of 2006 is the first comprehensive climate change regulation in the United States Internationally the International Maritime Organization (IMO) is currently working on greenhouse gas indexing of ships and potential engine and fuel standards targeting these pollutants Also on the international front the International Association of Ports and Harbors (IAPH) board recently signed the World Ports Climate Initiative (WPCI) The IAPH environmental subcommittee held its first symposium in Los Angeles in November 2008 in support of the WPCI and to start work on the initiatives associated with the WPCI More on these initiatives are provided below

The California Global Warming Solutions Act ndash Assembly Bill 32 Assembly Bill 32 (AB 32) the California Global Warming Solutions Act of 2006 establishes a first-in-the world comprehensive program requiring the CARB to develop regulatory and market mechanisms that will ultimately reduce GHG emissions to 1990 levels by the year 2020 and reduce emissions to 80 percent below 1990 levels by 2050 Mandatory caps will begin in 2012 for significant sources and ratchet down to meet the 2020 goals In the interim CARB will begin to measure the GHG emissions of industries determined to be significant sources In December 2008 CARB approved a Climate Change Scoping Plan to achieve the reductions in GHG emissions mandated in AB 32 The AB 32 Scoping Plan contains the main strategies that California will use to reduce GHG emissions Several of these measures are targeted at goods movement including Port-related goods movement and are expected to achieve a combined 37 million metric tons of carbon dioxide equivalent Proposed goods movement measures in the Scoping Plan include

T-5 Ship electrification at ports (previously adopted as regulation in December

2007) T-6 Goods movement efficiency measures

CARB has set guidelines on emission sources or ldquoScopesrdquo which ports and port tenants should include in determining their carbon footprint as well as the geographical domain for the State of California These guidelines are discussed further in Section 17

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 14 October 2009

IMO Greenhouse Gases Initiatives IMOrsquos Maritime Environmental Protection Committee (MEPC) is currently working on developing ldquocoherent and comprehensive future IMO regulatory framework on GHG emissions from shipsrdquo This regulatory framework is scheduled to be presented at the Copenhagen Conference in December 2009 In October 2008 MEPC voted unanimously to approve more stringent marine fuel sulfur limits expanded pollutant Emission Control Areas (ECAs) and marine engine standards These requirements tightened down the existing Annex VI regulations that had been previously adopted In March 2009 the United States and Canada jointly proposed to IMOrsquos MEPC the designation of an ECA for specified portions of the United States and Canadian coastal waters If approved the designation will require all vessels operating within the ECA (whether or not destined for either country) to reduce emissions IAPH World Ports Climate Initiative The principal objective of the IAPH is to develop and foster good relations and cooperation among ports and harbors worldwide by providing a forum to exchange opinions and share experiences on the latest trends of Port management and operations IAPH strives to emphasize and promote the fact that Ports form a vital link in the waterborne transportation of goods and play a vital role in todays global economy IAPH is committed to the protection of environment viewing it as an indispensable element of sustainable economic growth Dr Geraldine Knatz Executive Director of the Port of Los Angeles chairs the IAPH Environmental Committee Recognized as the only international organization representing the voice of the world port industry IAPH is granted Consultative Status as a Non-Governmental Organization (NGO) from five United Nations (UN) specialized agencies and one intergovernmental body

UN Economic and Social Council (ECOSOC) International Maritime Organization (IMO) UN Conference on Trade and Development (UNCTAD) UN Environment Programme (UNEP) International Labour Office (ILO) World Customs Organization (WCO)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 15 October 2009

In July 2008 55 member ports (including the Port) adopted the World Ports Climate Declaration which calls for member and non-member ports to work together through the forum provided by IAPH to address climate change issues One of the key components is for ports to share their best practices and experiences with the worldrsquos ports and various concerned parties One of the focuses of this initiative (one that the Port has volunteered to coordinate) is carbon footprinting associated with Port-related sources (Scopes 1-3) This document provides a broader domain evaluation to help facilitate those discussions and provide context to the greater carbon footprint associated with international goods movement 17 GHG Scopes The 2006 Port-wide GHG emissions are categorized based on the GHG emission scopes as defined under the International Council for Local Environmental Initiatives (ICLEI) Local Government Operations Protocol1 as illustrated in Figure 12 Scope 1 includes all direct GHG emissions from the Portrsquos municipally-controlled stationary and mobile sources Examples of Scope 1 sources include Port-owned fleet vehicles stationary generators and buildings (ie natural gas combustion) Scope 2 consists of indirect GHG emissions associated with the import and consumption of purchased electricity by the Port for its municipally-controlled sources (ie electricity used in Port-owned buildings and operations) Scope 3 emissions include Port tenantsrsquo direct emissions from stationary sources (ie natural gas combustion in buildings) mobile sources (ie ships trucks rail cargo handling equipment and harbor craft) and indirect source emissions associated with purchased electricity (ie buildings electric wharf cranes etc) Scope 3 primarily accounts for emissions associated with the operation of Port tenants Port employee vehicles are also considered under Scope 3 Scope 3 emissions are significantly higher than Scope 1 and 2 emissions In fact within a regional context Scope 3 emissions are greater than 99 percent of total municipally-related GHG emissions As geographical extents are expanded Scope 3 emissions can approach nearly 100 percent of the GHG emissions associated with good movement through a port Although inclusion of Scope 3 emissions in the Portrsquos GHG inventory is not mandatory under the Local Government Operations Protocol the expanded inventory will provide an opportunity for overall understanding quantification and context of GHG emissions associated with goods movement operations In addition since the Port has the most comprehensive data sets associated with Port tenant operations it presents the Port with the opportunity to make higher resolution estimates of its related Scope 3 emissions

1 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emissions inventories Version 10 CARB September 25 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 16 October 2009

Figure 12 2006 Port-wide GHG Emission Scopes

As in the annual emissions inventories the Port publishes this report catalogues Scope 3 emissions that are directly related to the Port specifically focusing on ship truck and train emissions outside of the SoCAB This report significantly broadens the geographical extent of the existing inventory domains as described below in the document 18 Existing Port Inventories

The Port has developed two inventories covering all three emission source Scopes Tenantsrsquo non-road mobile operational emissions have been quantified annually starting in 2001 focusing on Scope 3 mobile emissions sources Also starting in 2006 the Port started to quantify Scope 1 and 2 emissions (excluding Port tenantrsquos emissions) as part of its joining the California Climate Action Registry (CCAR)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 17 October 2009

Scope 3 - Annual Tenant Mobile Operations Inventories The Port began developing inventories for calendar year 2001 with annual updates beginning with the 2005 inventory It is currently conducting the 2008 inventory effort These inventories maximize the use of real and local data to minimize activity assumptions They involve intensive data collection efforts that include support from the Port tenants the Southern California Marine Exchange and numerous other sources The inventories are coordinated with and reviewed by CARB SCAQMD and EPA to ensure estimating methods are consistent with the latest acceptable practices Through this process the Port the tenants and the regulatory agencies are better informed on the activities and emissions associated with goods movement These annual inventories focus on Scope 3 emission categories including

Ocean-Going Vessels (OGVs) Harbor Craft (HC) Cargo Handling Equipment (CHE) Heavy-Duty Vehicles (HDVs) Rail Locomotives (RL)

The geographical domain for these source categories is regional and described fully in Section 19 below

In 2001 and 2005 emission estimates were focused on diesel particulate matter (DPM) particulate matter less than 25 and 10 microns (PM25 amp PM10) oxides of nitrogen oxides (NOx) of sulfur (SOx) carbon monoxide (CO) and hydrocarbons Starting with the 2006 inventories greenhouse gases were included into the suite of pollutants evaluated due to the rising interest in climate change Greenhouse gases that are included are CO2 CH4 and N2O which are rolled up into CO2 equivalents (CO2E)

Scopes 1 amp 2 ndash California Climate Action Registry Inventory The Port joined the CCAR in 2006 and as part of that commitment the Port submits annual inventories that cover Scope 1 and 2 emissions The CCAR inventories include the following emission sources

Scope 1 The Portrsquos municipal stationary sources (buildings stationary generators) and municipal mobile sources (on-road and non-road fleet vehicles)

Scope 2 The Portrsquos municipal electricity imports Emissions are estimated and submitted to the CCAR for public posting The geographical extent is limited to the Portrsquos municipally-controlled property

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 9: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 4 October 2009

Out-of-State Domain The out-of-state domain also includes over-water and land components The out-of-state domainrsquos over-water component encompasses the worldrsquos oceans ndash over which ships travel to and from the Port The 2006 ship routes therefore define the OGV out-of-state domain as presented in Figure ES4

Figure ES4 2006 OGV Routes To and From the Port

The out-of-state domainrsquos land component is made up of the HDV and rail locomotive domains Trucks are typically cost competitive with rail within 600 miles from point of origin so the HDV domain is a 600 mile arc from the Port as shown in Figure ES5

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 5 October 2009

Figure ES5 Major Onroad Heavy-Duty Vehicle Routes from SoCAB Boundary to 600 Miles

The out-of-state rail locomotive domain component is out along the tracks to the major distribution centers from Los Angeles as shown in Figure ES6

Figure ES6 Main Railways Traveled by BNSF and UP from the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 6 October 2009

ES2 Carbon Footprint Summary The 2006 combined emissions footprint for Port-related GHG emissions for all three Scopes is presented in Table ES1

Table ES1 2006 Port-Related GHG Emissions Scopes 1 2 amp 3

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions The distribution of Scopes 1 2 amp 3 emissions by source types is presented in Figure ES7

Figure ES7 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 7 October 2009

The total 2006 Port-related GHG emission distribution by domain (SoCAB in-state out-of-state) is presented in Figure ES8

Figure ES8 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 8 October 2009

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories falls within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 emission distribution for the State of California is presented in Figure ES9

Figure ES9 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 9 October 2009

SECTION 1 INTRODUCTION This document presents the evaluation of an expanded Greenhouse Gas (GHG) emissions domain associated with goods movements directly linked with the Port of Los Angeles (Port) Traditionally the Port-related emission evaluations have been focused on a regional level With this study the Port has moved those evaluations to a national scale for trucks and rail and a global scale for ships 11 Background The Port is the largest container port in the United States accounting for 847 million twenty-foot equivalents (TEUs) of cargo movement in the year 2006 Although recent economic conditions have led to a decrease in cargo throughput economic forecasts suggest that demand for containerized cargo moving through the Port will increase in coming years In order to meet containerized cargo demand and practice sound environmental stewardship the Port has implemented the preparation of annual activity-based emission inventories (EIs) to monitor changes in Port-related emissions over time These inventories are based on detailed activity data and are state-of-the-art for Port-related sources To ensure that the methods and results continue to represent the best methods in emissions inventory development the Port works with a Technical Working Group (TWG) consisting of staff of the California Air Resources Board (CARB) South Coast Air Quality Management District (SCAQMD) and the United States Environmental Protection Agency (EPA) While the EI reports provide an in-depth analysis of Port-related emissions within the SoCAB the Port is now evaluating a much broader national and global geographical domain While the study domain for this report is much broader the emissions analysis is narrower focusing only on GHGs As concern over climate change increases quantification of anthropogenic GHG emissions has become a necessary first step towards reducing the emissions that cause it

12 Purpose of Study

The purpose of this study is to quantify the greater GHG emissions associated with international goods movement directly associated with the Port by expanding the geographical domain nationally and internationally This report combines the existing regional (SoCAB) level inventories with estimates of the international and national emissions associated with those regional activities for the baseline year of 2006 Emissions associated with the regional level of activity come directly from the published 2006 Port estimates that are described in Section 15 below This expanded GHG inventory contains new emission estimates from the expanded geographical extent for the following three source categories that operate beyond the regional domain

Ocean-going vessels Heavy-duty vehicles Rail locomotives

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 10 October 2009

13 Cargo Movements Included For activities beyond the existing geographical boundaries of the annual inventories emissions are estimated from cargo movements within the following geographical extents

Ocean-going vessels All ships inbound and outbound to and from the Port from the shiprsquos originating port or next port of call as described in Section 2 of this report

Heavy-duty vehicles (trucks) inbound and outbound truck movements to and from the Port to population centers within 600 miles of the Port as described in Section 3 of this report

Rail locomotives All Union Pacific (UP) and Burlington Northern Santa Fe (BNSF) (Class 1) inbound and outbound rail movements to and from the Port to major rail cargo destinations as described in Section 4 of this report

The cargo movements that are included in this expanded GHG inventory only represent the direct movements to or from the Port They are not intended to represent the greater international goods movement within the SoCAB or the expanded geographical area An example where this distinction is important is with container ships Most ships follow trans-Pacific routes to the Port directly from Asia and then go to other west coast ports such as Oakland Seattle Tacoma etc The reverse can be true where the ship first arrives from a trans-Pacific voyage at one of these other west coast ports comes to the Port and then returns to Asia Therefore the majority of arrival and departures directly associated with the Port do not include two trans-Pacific legs A significant amount of cargo movement is indirectly associated with international goods movement but not directly related to the Port An example would be imported goods that have been removed from international shipping containers to be distributed from transloading centers and repackaged into domestic trailers for local or regional transport The movement of these goods after the transloading facility is not included in the expanded Port greenhouse gas emissions inventory

14 Greenhouse Gases

Climate change is a global concern During the 20th century global average temperatures increased about one degree centigrade Over the next 100 years temperatures are likely to increase another two to ten degrees centigrade Climate models show that this overall increase in temperature will cause dramatic changes to regional climates and increase the instance and intensity of severe weather events

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 11 October 2009

GHGs are gases present in the earths atmosphere that reduce the loss of heat into space GHGs primarily include water vapor carbon dioxide (CO2) methane (CH4) nitrous oxide (N2O) and certain fluorinated gases used in commercial and industrial applications GHGs affect climate as they concentrate in the Earthrsquos atmosphere and trap heat by blocking some of the long-wave energy normally radiated back into space While some GHGs occur naturally there is widespread agreement among climate scientists worldwide that human activity is increasing the GHGs in the Earthrsquos atmosphere and accelerating global warming and the accompanying changes in climate patterns that accompany it Activities that release GHGs into the air include those that occur in and around a port setting such as the burning of fossil fuels for industrial operations transportation heating and electricity The potential consequences of global warming to Los Angeles include longer and hotter summers longer droughts more devastating wildfires and shortages of public water all of which threaten public health and the economy 15 The Bigger Picture Goods Movement amp Climate Change Traditionally air quality efforts in Southern California and the United States have focused on pollutants that impact the local or regional populations With respect to climate change emissions released anywhere along the goods movement logistic chains can have a negative impact on GHG concentrations globally meaning itrsquos not just a local concern When estimating the Port-related GHG emissions from goods movement activities that pass directly through Port the expanded geographical domain of those activities brings into focus a significant source that is not accounted for in local or regional inventories

This is particularly acute in Ocean-going Vessel (OGV) inventories For example when looking at the emissions covered in the existing Port tenantsrsquo inventories only the local energy demand of ships calling on the Port is estimated In this local domain the ship is typically transitioning from sea speed to maneuvering speeds and operations at-berth (when the propulsion engines are off) The same activities are evaluated on the Asian side as a local concern of the people there However the significant majority of a vesselrsquos energy demand (which is directly related to emissions) occurs during the trans-Pacific leg (international) and is not included in the local inventories It is during this international phase that the shiprsquos energy demand is at its highest because the propulsion engine(s) is operating at its highest level and transiting time is significantly longer than the shiprsquos time at berth This is illustrated in Figure 11

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 12 October 2009

0

5

10

15

20

25

30

35

40

45

Ene

rgy

Dem

and

(MW

)

Energy (MW) 2 5 7 4 2

Ber

th

Men

uv -

Dep

art

PZM

enuv

-Ar

riva

lB

erth

LA

LocalInternationalLocal

41

Trans Pacific

Tran

s

18

Tran

s

17

Figure 11 Energy Demand Example Trans Pacific Transit from Shanghai to Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 13 October 2009

This study represents the first detailed Port-related evaluation of GHG emission levels from ships arriving and departing from their previous and next port respectfully The results of this study can be used to frame further carbon footprinting discussions on domain and sources contributions associated with ports

16 Climate Change Regulations amp Initiatives California has been the leading the nation in developing a regulatory mechanism to respond to the threat of climate change The California Global Warming Solutions Act of 2006 is the first comprehensive climate change regulation in the United States Internationally the International Maritime Organization (IMO) is currently working on greenhouse gas indexing of ships and potential engine and fuel standards targeting these pollutants Also on the international front the International Association of Ports and Harbors (IAPH) board recently signed the World Ports Climate Initiative (WPCI) The IAPH environmental subcommittee held its first symposium in Los Angeles in November 2008 in support of the WPCI and to start work on the initiatives associated with the WPCI More on these initiatives are provided below

The California Global Warming Solutions Act ndash Assembly Bill 32 Assembly Bill 32 (AB 32) the California Global Warming Solutions Act of 2006 establishes a first-in-the world comprehensive program requiring the CARB to develop regulatory and market mechanisms that will ultimately reduce GHG emissions to 1990 levels by the year 2020 and reduce emissions to 80 percent below 1990 levels by 2050 Mandatory caps will begin in 2012 for significant sources and ratchet down to meet the 2020 goals In the interim CARB will begin to measure the GHG emissions of industries determined to be significant sources In December 2008 CARB approved a Climate Change Scoping Plan to achieve the reductions in GHG emissions mandated in AB 32 The AB 32 Scoping Plan contains the main strategies that California will use to reduce GHG emissions Several of these measures are targeted at goods movement including Port-related goods movement and are expected to achieve a combined 37 million metric tons of carbon dioxide equivalent Proposed goods movement measures in the Scoping Plan include

T-5 Ship electrification at ports (previously adopted as regulation in December

2007) T-6 Goods movement efficiency measures

CARB has set guidelines on emission sources or ldquoScopesrdquo which ports and port tenants should include in determining their carbon footprint as well as the geographical domain for the State of California These guidelines are discussed further in Section 17

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 14 October 2009

IMO Greenhouse Gases Initiatives IMOrsquos Maritime Environmental Protection Committee (MEPC) is currently working on developing ldquocoherent and comprehensive future IMO regulatory framework on GHG emissions from shipsrdquo This regulatory framework is scheduled to be presented at the Copenhagen Conference in December 2009 In October 2008 MEPC voted unanimously to approve more stringent marine fuel sulfur limits expanded pollutant Emission Control Areas (ECAs) and marine engine standards These requirements tightened down the existing Annex VI regulations that had been previously adopted In March 2009 the United States and Canada jointly proposed to IMOrsquos MEPC the designation of an ECA for specified portions of the United States and Canadian coastal waters If approved the designation will require all vessels operating within the ECA (whether or not destined for either country) to reduce emissions IAPH World Ports Climate Initiative The principal objective of the IAPH is to develop and foster good relations and cooperation among ports and harbors worldwide by providing a forum to exchange opinions and share experiences on the latest trends of Port management and operations IAPH strives to emphasize and promote the fact that Ports form a vital link in the waterborne transportation of goods and play a vital role in todays global economy IAPH is committed to the protection of environment viewing it as an indispensable element of sustainable economic growth Dr Geraldine Knatz Executive Director of the Port of Los Angeles chairs the IAPH Environmental Committee Recognized as the only international organization representing the voice of the world port industry IAPH is granted Consultative Status as a Non-Governmental Organization (NGO) from five United Nations (UN) specialized agencies and one intergovernmental body

UN Economic and Social Council (ECOSOC) International Maritime Organization (IMO) UN Conference on Trade and Development (UNCTAD) UN Environment Programme (UNEP) International Labour Office (ILO) World Customs Organization (WCO)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 15 October 2009

In July 2008 55 member ports (including the Port) adopted the World Ports Climate Declaration which calls for member and non-member ports to work together through the forum provided by IAPH to address climate change issues One of the key components is for ports to share their best practices and experiences with the worldrsquos ports and various concerned parties One of the focuses of this initiative (one that the Port has volunteered to coordinate) is carbon footprinting associated with Port-related sources (Scopes 1-3) This document provides a broader domain evaluation to help facilitate those discussions and provide context to the greater carbon footprint associated with international goods movement 17 GHG Scopes The 2006 Port-wide GHG emissions are categorized based on the GHG emission scopes as defined under the International Council for Local Environmental Initiatives (ICLEI) Local Government Operations Protocol1 as illustrated in Figure 12 Scope 1 includes all direct GHG emissions from the Portrsquos municipally-controlled stationary and mobile sources Examples of Scope 1 sources include Port-owned fleet vehicles stationary generators and buildings (ie natural gas combustion) Scope 2 consists of indirect GHG emissions associated with the import and consumption of purchased electricity by the Port for its municipally-controlled sources (ie electricity used in Port-owned buildings and operations) Scope 3 emissions include Port tenantsrsquo direct emissions from stationary sources (ie natural gas combustion in buildings) mobile sources (ie ships trucks rail cargo handling equipment and harbor craft) and indirect source emissions associated with purchased electricity (ie buildings electric wharf cranes etc) Scope 3 primarily accounts for emissions associated with the operation of Port tenants Port employee vehicles are also considered under Scope 3 Scope 3 emissions are significantly higher than Scope 1 and 2 emissions In fact within a regional context Scope 3 emissions are greater than 99 percent of total municipally-related GHG emissions As geographical extents are expanded Scope 3 emissions can approach nearly 100 percent of the GHG emissions associated with good movement through a port Although inclusion of Scope 3 emissions in the Portrsquos GHG inventory is not mandatory under the Local Government Operations Protocol the expanded inventory will provide an opportunity for overall understanding quantification and context of GHG emissions associated with goods movement operations In addition since the Port has the most comprehensive data sets associated with Port tenant operations it presents the Port with the opportunity to make higher resolution estimates of its related Scope 3 emissions

1 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emissions inventories Version 10 CARB September 25 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 16 October 2009

Figure 12 2006 Port-wide GHG Emission Scopes

As in the annual emissions inventories the Port publishes this report catalogues Scope 3 emissions that are directly related to the Port specifically focusing on ship truck and train emissions outside of the SoCAB This report significantly broadens the geographical extent of the existing inventory domains as described below in the document 18 Existing Port Inventories

The Port has developed two inventories covering all three emission source Scopes Tenantsrsquo non-road mobile operational emissions have been quantified annually starting in 2001 focusing on Scope 3 mobile emissions sources Also starting in 2006 the Port started to quantify Scope 1 and 2 emissions (excluding Port tenantrsquos emissions) as part of its joining the California Climate Action Registry (CCAR)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 17 October 2009

Scope 3 - Annual Tenant Mobile Operations Inventories The Port began developing inventories for calendar year 2001 with annual updates beginning with the 2005 inventory It is currently conducting the 2008 inventory effort These inventories maximize the use of real and local data to minimize activity assumptions They involve intensive data collection efforts that include support from the Port tenants the Southern California Marine Exchange and numerous other sources The inventories are coordinated with and reviewed by CARB SCAQMD and EPA to ensure estimating methods are consistent with the latest acceptable practices Through this process the Port the tenants and the regulatory agencies are better informed on the activities and emissions associated with goods movement These annual inventories focus on Scope 3 emission categories including

Ocean-Going Vessels (OGVs) Harbor Craft (HC) Cargo Handling Equipment (CHE) Heavy-Duty Vehicles (HDVs) Rail Locomotives (RL)

The geographical domain for these source categories is regional and described fully in Section 19 below

In 2001 and 2005 emission estimates were focused on diesel particulate matter (DPM) particulate matter less than 25 and 10 microns (PM25 amp PM10) oxides of nitrogen oxides (NOx) of sulfur (SOx) carbon monoxide (CO) and hydrocarbons Starting with the 2006 inventories greenhouse gases were included into the suite of pollutants evaluated due to the rising interest in climate change Greenhouse gases that are included are CO2 CH4 and N2O which are rolled up into CO2 equivalents (CO2E)

Scopes 1 amp 2 ndash California Climate Action Registry Inventory The Port joined the CCAR in 2006 and as part of that commitment the Port submits annual inventories that cover Scope 1 and 2 emissions The CCAR inventories include the following emission sources

Scope 1 The Portrsquos municipal stationary sources (buildings stationary generators) and municipal mobile sources (on-road and non-road fleet vehicles)

Scope 2 The Portrsquos municipal electricity imports Emissions are estimated and submitted to the CCAR for public posting The geographical extent is limited to the Portrsquos municipally-controlled property

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 10: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 5 October 2009

Figure ES5 Major Onroad Heavy-Duty Vehicle Routes from SoCAB Boundary to 600 Miles

The out-of-state rail locomotive domain component is out along the tracks to the major distribution centers from Los Angeles as shown in Figure ES6

Figure ES6 Main Railways Traveled by BNSF and UP from the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 6 October 2009

ES2 Carbon Footprint Summary The 2006 combined emissions footprint for Port-related GHG emissions for all three Scopes is presented in Table ES1

Table ES1 2006 Port-Related GHG Emissions Scopes 1 2 amp 3

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions The distribution of Scopes 1 2 amp 3 emissions by source types is presented in Figure ES7

Figure ES7 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 7 October 2009

The total 2006 Port-related GHG emission distribution by domain (SoCAB in-state out-of-state) is presented in Figure ES8

Figure ES8 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 8 October 2009

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories falls within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 emission distribution for the State of California is presented in Figure ES9

Figure ES9 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 9 October 2009

SECTION 1 INTRODUCTION This document presents the evaluation of an expanded Greenhouse Gas (GHG) emissions domain associated with goods movements directly linked with the Port of Los Angeles (Port) Traditionally the Port-related emission evaluations have been focused on a regional level With this study the Port has moved those evaluations to a national scale for trucks and rail and a global scale for ships 11 Background The Port is the largest container port in the United States accounting for 847 million twenty-foot equivalents (TEUs) of cargo movement in the year 2006 Although recent economic conditions have led to a decrease in cargo throughput economic forecasts suggest that demand for containerized cargo moving through the Port will increase in coming years In order to meet containerized cargo demand and practice sound environmental stewardship the Port has implemented the preparation of annual activity-based emission inventories (EIs) to monitor changes in Port-related emissions over time These inventories are based on detailed activity data and are state-of-the-art for Port-related sources To ensure that the methods and results continue to represent the best methods in emissions inventory development the Port works with a Technical Working Group (TWG) consisting of staff of the California Air Resources Board (CARB) South Coast Air Quality Management District (SCAQMD) and the United States Environmental Protection Agency (EPA) While the EI reports provide an in-depth analysis of Port-related emissions within the SoCAB the Port is now evaluating a much broader national and global geographical domain While the study domain for this report is much broader the emissions analysis is narrower focusing only on GHGs As concern over climate change increases quantification of anthropogenic GHG emissions has become a necessary first step towards reducing the emissions that cause it

12 Purpose of Study

The purpose of this study is to quantify the greater GHG emissions associated with international goods movement directly associated with the Port by expanding the geographical domain nationally and internationally This report combines the existing regional (SoCAB) level inventories with estimates of the international and national emissions associated with those regional activities for the baseline year of 2006 Emissions associated with the regional level of activity come directly from the published 2006 Port estimates that are described in Section 15 below This expanded GHG inventory contains new emission estimates from the expanded geographical extent for the following three source categories that operate beyond the regional domain

Ocean-going vessels Heavy-duty vehicles Rail locomotives

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 10 October 2009

13 Cargo Movements Included For activities beyond the existing geographical boundaries of the annual inventories emissions are estimated from cargo movements within the following geographical extents

Ocean-going vessels All ships inbound and outbound to and from the Port from the shiprsquos originating port or next port of call as described in Section 2 of this report

Heavy-duty vehicles (trucks) inbound and outbound truck movements to and from the Port to population centers within 600 miles of the Port as described in Section 3 of this report

Rail locomotives All Union Pacific (UP) and Burlington Northern Santa Fe (BNSF) (Class 1) inbound and outbound rail movements to and from the Port to major rail cargo destinations as described in Section 4 of this report

The cargo movements that are included in this expanded GHG inventory only represent the direct movements to or from the Port They are not intended to represent the greater international goods movement within the SoCAB or the expanded geographical area An example where this distinction is important is with container ships Most ships follow trans-Pacific routes to the Port directly from Asia and then go to other west coast ports such as Oakland Seattle Tacoma etc The reverse can be true where the ship first arrives from a trans-Pacific voyage at one of these other west coast ports comes to the Port and then returns to Asia Therefore the majority of arrival and departures directly associated with the Port do not include two trans-Pacific legs A significant amount of cargo movement is indirectly associated with international goods movement but not directly related to the Port An example would be imported goods that have been removed from international shipping containers to be distributed from transloading centers and repackaged into domestic trailers for local or regional transport The movement of these goods after the transloading facility is not included in the expanded Port greenhouse gas emissions inventory

14 Greenhouse Gases

Climate change is a global concern During the 20th century global average temperatures increased about one degree centigrade Over the next 100 years temperatures are likely to increase another two to ten degrees centigrade Climate models show that this overall increase in temperature will cause dramatic changes to regional climates and increase the instance and intensity of severe weather events

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 11 October 2009

GHGs are gases present in the earths atmosphere that reduce the loss of heat into space GHGs primarily include water vapor carbon dioxide (CO2) methane (CH4) nitrous oxide (N2O) and certain fluorinated gases used in commercial and industrial applications GHGs affect climate as they concentrate in the Earthrsquos atmosphere and trap heat by blocking some of the long-wave energy normally radiated back into space While some GHGs occur naturally there is widespread agreement among climate scientists worldwide that human activity is increasing the GHGs in the Earthrsquos atmosphere and accelerating global warming and the accompanying changes in climate patterns that accompany it Activities that release GHGs into the air include those that occur in and around a port setting such as the burning of fossil fuels for industrial operations transportation heating and electricity The potential consequences of global warming to Los Angeles include longer and hotter summers longer droughts more devastating wildfires and shortages of public water all of which threaten public health and the economy 15 The Bigger Picture Goods Movement amp Climate Change Traditionally air quality efforts in Southern California and the United States have focused on pollutants that impact the local or regional populations With respect to climate change emissions released anywhere along the goods movement logistic chains can have a negative impact on GHG concentrations globally meaning itrsquos not just a local concern When estimating the Port-related GHG emissions from goods movement activities that pass directly through Port the expanded geographical domain of those activities brings into focus a significant source that is not accounted for in local or regional inventories

This is particularly acute in Ocean-going Vessel (OGV) inventories For example when looking at the emissions covered in the existing Port tenantsrsquo inventories only the local energy demand of ships calling on the Port is estimated In this local domain the ship is typically transitioning from sea speed to maneuvering speeds and operations at-berth (when the propulsion engines are off) The same activities are evaluated on the Asian side as a local concern of the people there However the significant majority of a vesselrsquos energy demand (which is directly related to emissions) occurs during the trans-Pacific leg (international) and is not included in the local inventories It is during this international phase that the shiprsquos energy demand is at its highest because the propulsion engine(s) is operating at its highest level and transiting time is significantly longer than the shiprsquos time at berth This is illustrated in Figure 11

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 12 October 2009

0

5

10

15

20

25

30

35

40

45

Ene

rgy

Dem

and

(MW

)

Energy (MW) 2 5 7 4 2

Ber

th

Men

uv -

Dep

art

PZM

enuv

-Ar

riva

lB

erth

LA

LocalInternationalLocal

41

Trans Pacific

Tran

s

18

Tran

s

17

Figure 11 Energy Demand Example Trans Pacific Transit from Shanghai to Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 13 October 2009

This study represents the first detailed Port-related evaluation of GHG emission levels from ships arriving and departing from their previous and next port respectfully The results of this study can be used to frame further carbon footprinting discussions on domain and sources contributions associated with ports

16 Climate Change Regulations amp Initiatives California has been the leading the nation in developing a regulatory mechanism to respond to the threat of climate change The California Global Warming Solutions Act of 2006 is the first comprehensive climate change regulation in the United States Internationally the International Maritime Organization (IMO) is currently working on greenhouse gas indexing of ships and potential engine and fuel standards targeting these pollutants Also on the international front the International Association of Ports and Harbors (IAPH) board recently signed the World Ports Climate Initiative (WPCI) The IAPH environmental subcommittee held its first symposium in Los Angeles in November 2008 in support of the WPCI and to start work on the initiatives associated with the WPCI More on these initiatives are provided below

The California Global Warming Solutions Act ndash Assembly Bill 32 Assembly Bill 32 (AB 32) the California Global Warming Solutions Act of 2006 establishes a first-in-the world comprehensive program requiring the CARB to develop regulatory and market mechanisms that will ultimately reduce GHG emissions to 1990 levels by the year 2020 and reduce emissions to 80 percent below 1990 levels by 2050 Mandatory caps will begin in 2012 for significant sources and ratchet down to meet the 2020 goals In the interim CARB will begin to measure the GHG emissions of industries determined to be significant sources In December 2008 CARB approved a Climate Change Scoping Plan to achieve the reductions in GHG emissions mandated in AB 32 The AB 32 Scoping Plan contains the main strategies that California will use to reduce GHG emissions Several of these measures are targeted at goods movement including Port-related goods movement and are expected to achieve a combined 37 million metric tons of carbon dioxide equivalent Proposed goods movement measures in the Scoping Plan include

T-5 Ship electrification at ports (previously adopted as regulation in December

2007) T-6 Goods movement efficiency measures

CARB has set guidelines on emission sources or ldquoScopesrdquo which ports and port tenants should include in determining their carbon footprint as well as the geographical domain for the State of California These guidelines are discussed further in Section 17

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 14 October 2009

IMO Greenhouse Gases Initiatives IMOrsquos Maritime Environmental Protection Committee (MEPC) is currently working on developing ldquocoherent and comprehensive future IMO regulatory framework on GHG emissions from shipsrdquo This regulatory framework is scheduled to be presented at the Copenhagen Conference in December 2009 In October 2008 MEPC voted unanimously to approve more stringent marine fuel sulfur limits expanded pollutant Emission Control Areas (ECAs) and marine engine standards These requirements tightened down the existing Annex VI regulations that had been previously adopted In March 2009 the United States and Canada jointly proposed to IMOrsquos MEPC the designation of an ECA for specified portions of the United States and Canadian coastal waters If approved the designation will require all vessels operating within the ECA (whether or not destined for either country) to reduce emissions IAPH World Ports Climate Initiative The principal objective of the IAPH is to develop and foster good relations and cooperation among ports and harbors worldwide by providing a forum to exchange opinions and share experiences on the latest trends of Port management and operations IAPH strives to emphasize and promote the fact that Ports form a vital link in the waterborne transportation of goods and play a vital role in todays global economy IAPH is committed to the protection of environment viewing it as an indispensable element of sustainable economic growth Dr Geraldine Knatz Executive Director of the Port of Los Angeles chairs the IAPH Environmental Committee Recognized as the only international organization representing the voice of the world port industry IAPH is granted Consultative Status as a Non-Governmental Organization (NGO) from five United Nations (UN) specialized agencies and one intergovernmental body

UN Economic and Social Council (ECOSOC) International Maritime Organization (IMO) UN Conference on Trade and Development (UNCTAD) UN Environment Programme (UNEP) International Labour Office (ILO) World Customs Organization (WCO)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 15 October 2009

In July 2008 55 member ports (including the Port) adopted the World Ports Climate Declaration which calls for member and non-member ports to work together through the forum provided by IAPH to address climate change issues One of the key components is for ports to share their best practices and experiences with the worldrsquos ports and various concerned parties One of the focuses of this initiative (one that the Port has volunteered to coordinate) is carbon footprinting associated with Port-related sources (Scopes 1-3) This document provides a broader domain evaluation to help facilitate those discussions and provide context to the greater carbon footprint associated with international goods movement 17 GHG Scopes The 2006 Port-wide GHG emissions are categorized based on the GHG emission scopes as defined under the International Council for Local Environmental Initiatives (ICLEI) Local Government Operations Protocol1 as illustrated in Figure 12 Scope 1 includes all direct GHG emissions from the Portrsquos municipally-controlled stationary and mobile sources Examples of Scope 1 sources include Port-owned fleet vehicles stationary generators and buildings (ie natural gas combustion) Scope 2 consists of indirect GHG emissions associated with the import and consumption of purchased electricity by the Port for its municipally-controlled sources (ie electricity used in Port-owned buildings and operations) Scope 3 emissions include Port tenantsrsquo direct emissions from stationary sources (ie natural gas combustion in buildings) mobile sources (ie ships trucks rail cargo handling equipment and harbor craft) and indirect source emissions associated with purchased electricity (ie buildings electric wharf cranes etc) Scope 3 primarily accounts for emissions associated with the operation of Port tenants Port employee vehicles are also considered under Scope 3 Scope 3 emissions are significantly higher than Scope 1 and 2 emissions In fact within a regional context Scope 3 emissions are greater than 99 percent of total municipally-related GHG emissions As geographical extents are expanded Scope 3 emissions can approach nearly 100 percent of the GHG emissions associated with good movement through a port Although inclusion of Scope 3 emissions in the Portrsquos GHG inventory is not mandatory under the Local Government Operations Protocol the expanded inventory will provide an opportunity for overall understanding quantification and context of GHG emissions associated with goods movement operations In addition since the Port has the most comprehensive data sets associated with Port tenant operations it presents the Port with the opportunity to make higher resolution estimates of its related Scope 3 emissions

1 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emissions inventories Version 10 CARB September 25 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 16 October 2009

Figure 12 2006 Port-wide GHG Emission Scopes

As in the annual emissions inventories the Port publishes this report catalogues Scope 3 emissions that are directly related to the Port specifically focusing on ship truck and train emissions outside of the SoCAB This report significantly broadens the geographical extent of the existing inventory domains as described below in the document 18 Existing Port Inventories

The Port has developed two inventories covering all three emission source Scopes Tenantsrsquo non-road mobile operational emissions have been quantified annually starting in 2001 focusing on Scope 3 mobile emissions sources Also starting in 2006 the Port started to quantify Scope 1 and 2 emissions (excluding Port tenantrsquos emissions) as part of its joining the California Climate Action Registry (CCAR)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 17 October 2009

Scope 3 - Annual Tenant Mobile Operations Inventories The Port began developing inventories for calendar year 2001 with annual updates beginning with the 2005 inventory It is currently conducting the 2008 inventory effort These inventories maximize the use of real and local data to minimize activity assumptions They involve intensive data collection efforts that include support from the Port tenants the Southern California Marine Exchange and numerous other sources The inventories are coordinated with and reviewed by CARB SCAQMD and EPA to ensure estimating methods are consistent with the latest acceptable practices Through this process the Port the tenants and the regulatory agencies are better informed on the activities and emissions associated with goods movement These annual inventories focus on Scope 3 emission categories including

Ocean-Going Vessels (OGVs) Harbor Craft (HC) Cargo Handling Equipment (CHE) Heavy-Duty Vehicles (HDVs) Rail Locomotives (RL)

The geographical domain for these source categories is regional and described fully in Section 19 below

In 2001 and 2005 emission estimates were focused on diesel particulate matter (DPM) particulate matter less than 25 and 10 microns (PM25 amp PM10) oxides of nitrogen oxides (NOx) of sulfur (SOx) carbon monoxide (CO) and hydrocarbons Starting with the 2006 inventories greenhouse gases were included into the suite of pollutants evaluated due to the rising interest in climate change Greenhouse gases that are included are CO2 CH4 and N2O which are rolled up into CO2 equivalents (CO2E)

Scopes 1 amp 2 ndash California Climate Action Registry Inventory The Port joined the CCAR in 2006 and as part of that commitment the Port submits annual inventories that cover Scope 1 and 2 emissions The CCAR inventories include the following emission sources

Scope 1 The Portrsquos municipal stationary sources (buildings stationary generators) and municipal mobile sources (on-road and non-road fleet vehicles)

Scope 2 The Portrsquos municipal electricity imports Emissions are estimated and submitted to the CCAR for public posting The geographical extent is limited to the Portrsquos municipally-controlled property

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 11: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 6 October 2009

ES2 Carbon Footprint Summary The 2006 combined emissions footprint for Port-related GHG emissions for all three Scopes is presented in Table ES1

Table ES1 2006 Port-Related GHG Emissions Scopes 1 2 amp 3

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions The distribution of Scopes 1 2 amp 3 emissions by source types is presented in Figure ES7

Figure ES7 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 7 October 2009

The total 2006 Port-related GHG emission distribution by domain (SoCAB in-state out-of-state) is presented in Figure ES8

Figure ES8 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 8 October 2009

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories falls within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 emission distribution for the State of California is presented in Figure ES9

Figure ES9 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 9 October 2009

SECTION 1 INTRODUCTION This document presents the evaluation of an expanded Greenhouse Gas (GHG) emissions domain associated with goods movements directly linked with the Port of Los Angeles (Port) Traditionally the Port-related emission evaluations have been focused on a regional level With this study the Port has moved those evaluations to a national scale for trucks and rail and a global scale for ships 11 Background The Port is the largest container port in the United States accounting for 847 million twenty-foot equivalents (TEUs) of cargo movement in the year 2006 Although recent economic conditions have led to a decrease in cargo throughput economic forecasts suggest that demand for containerized cargo moving through the Port will increase in coming years In order to meet containerized cargo demand and practice sound environmental stewardship the Port has implemented the preparation of annual activity-based emission inventories (EIs) to monitor changes in Port-related emissions over time These inventories are based on detailed activity data and are state-of-the-art for Port-related sources To ensure that the methods and results continue to represent the best methods in emissions inventory development the Port works with a Technical Working Group (TWG) consisting of staff of the California Air Resources Board (CARB) South Coast Air Quality Management District (SCAQMD) and the United States Environmental Protection Agency (EPA) While the EI reports provide an in-depth analysis of Port-related emissions within the SoCAB the Port is now evaluating a much broader national and global geographical domain While the study domain for this report is much broader the emissions analysis is narrower focusing only on GHGs As concern over climate change increases quantification of anthropogenic GHG emissions has become a necessary first step towards reducing the emissions that cause it

12 Purpose of Study

The purpose of this study is to quantify the greater GHG emissions associated with international goods movement directly associated with the Port by expanding the geographical domain nationally and internationally This report combines the existing regional (SoCAB) level inventories with estimates of the international and national emissions associated with those regional activities for the baseline year of 2006 Emissions associated with the regional level of activity come directly from the published 2006 Port estimates that are described in Section 15 below This expanded GHG inventory contains new emission estimates from the expanded geographical extent for the following three source categories that operate beyond the regional domain

Ocean-going vessels Heavy-duty vehicles Rail locomotives

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 10 October 2009

13 Cargo Movements Included For activities beyond the existing geographical boundaries of the annual inventories emissions are estimated from cargo movements within the following geographical extents

Ocean-going vessels All ships inbound and outbound to and from the Port from the shiprsquos originating port or next port of call as described in Section 2 of this report

Heavy-duty vehicles (trucks) inbound and outbound truck movements to and from the Port to population centers within 600 miles of the Port as described in Section 3 of this report

Rail locomotives All Union Pacific (UP) and Burlington Northern Santa Fe (BNSF) (Class 1) inbound and outbound rail movements to and from the Port to major rail cargo destinations as described in Section 4 of this report

The cargo movements that are included in this expanded GHG inventory only represent the direct movements to or from the Port They are not intended to represent the greater international goods movement within the SoCAB or the expanded geographical area An example where this distinction is important is with container ships Most ships follow trans-Pacific routes to the Port directly from Asia and then go to other west coast ports such as Oakland Seattle Tacoma etc The reverse can be true where the ship first arrives from a trans-Pacific voyage at one of these other west coast ports comes to the Port and then returns to Asia Therefore the majority of arrival and departures directly associated with the Port do not include two trans-Pacific legs A significant amount of cargo movement is indirectly associated with international goods movement but not directly related to the Port An example would be imported goods that have been removed from international shipping containers to be distributed from transloading centers and repackaged into domestic trailers for local or regional transport The movement of these goods after the transloading facility is not included in the expanded Port greenhouse gas emissions inventory

14 Greenhouse Gases

Climate change is a global concern During the 20th century global average temperatures increased about one degree centigrade Over the next 100 years temperatures are likely to increase another two to ten degrees centigrade Climate models show that this overall increase in temperature will cause dramatic changes to regional climates and increase the instance and intensity of severe weather events

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 11 October 2009

GHGs are gases present in the earths atmosphere that reduce the loss of heat into space GHGs primarily include water vapor carbon dioxide (CO2) methane (CH4) nitrous oxide (N2O) and certain fluorinated gases used in commercial and industrial applications GHGs affect climate as they concentrate in the Earthrsquos atmosphere and trap heat by blocking some of the long-wave energy normally radiated back into space While some GHGs occur naturally there is widespread agreement among climate scientists worldwide that human activity is increasing the GHGs in the Earthrsquos atmosphere and accelerating global warming and the accompanying changes in climate patterns that accompany it Activities that release GHGs into the air include those that occur in and around a port setting such as the burning of fossil fuels for industrial operations transportation heating and electricity The potential consequences of global warming to Los Angeles include longer and hotter summers longer droughts more devastating wildfires and shortages of public water all of which threaten public health and the economy 15 The Bigger Picture Goods Movement amp Climate Change Traditionally air quality efforts in Southern California and the United States have focused on pollutants that impact the local or regional populations With respect to climate change emissions released anywhere along the goods movement logistic chains can have a negative impact on GHG concentrations globally meaning itrsquos not just a local concern When estimating the Port-related GHG emissions from goods movement activities that pass directly through Port the expanded geographical domain of those activities brings into focus a significant source that is not accounted for in local or regional inventories

This is particularly acute in Ocean-going Vessel (OGV) inventories For example when looking at the emissions covered in the existing Port tenantsrsquo inventories only the local energy demand of ships calling on the Port is estimated In this local domain the ship is typically transitioning from sea speed to maneuvering speeds and operations at-berth (when the propulsion engines are off) The same activities are evaluated on the Asian side as a local concern of the people there However the significant majority of a vesselrsquos energy demand (which is directly related to emissions) occurs during the trans-Pacific leg (international) and is not included in the local inventories It is during this international phase that the shiprsquos energy demand is at its highest because the propulsion engine(s) is operating at its highest level and transiting time is significantly longer than the shiprsquos time at berth This is illustrated in Figure 11

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 12 October 2009

0

5

10

15

20

25

30

35

40

45

Ene

rgy

Dem

and

(MW

)

Energy (MW) 2 5 7 4 2

Ber

th

Men

uv -

Dep

art

PZM

enuv

-Ar

riva

lB

erth

LA

LocalInternationalLocal

41

Trans Pacific

Tran

s

18

Tran

s

17

Figure 11 Energy Demand Example Trans Pacific Transit from Shanghai to Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 13 October 2009

This study represents the first detailed Port-related evaluation of GHG emission levels from ships arriving and departing from their previous and next port respectfully The results of this study can be used to frame further carbon footprinting discussions on domain and sources contributions associated with ports

16 Climate Change Regulations amp Initiatives California has been the leading the nation in developing a regulatory mechanism to respond to the threat of climate change The California Global Warming Solutions Act of 2006 is the first comprehensive climate change regulation in the United States Internationally the International Maritime Organization (IMO) is currently working on greenhouse gas indexing of ships and potential engine and fuel standards targeting these pollutants Also on the international front the International Association of Ports and Harbors (IAPH) board recently signed the World Ports Climate Initiative (WPCI) The IAPH environmental subcommittee held its first symposium in Los Angeles in November 2008 in support of the WPCI and to start work on the initiatives associated with the WPCI More on these initiatives are provided below

The California Global Warming Solutions Act ndash Assembly Bill 32 Assembly Bill 32 (AB 32) the California Global Warming Solutions Act of 2006 establishes a first-in-the world comprehensive program requiring the CARB to develop regulatory and market mechanisms that will ultimately reduce GHG emissions to 1990 levels by the year 2020 and reduce emissions to 80 percent below 1990 levels by 2050 Mandatory caps will begin in 2012 for significant sources and ratchet down to meet the 2020 goals In the interim CARB will begin to measure the GHG emissions of industries determined to be significant sources In December 2008 CARB approved a Climate Change Scoping Plan to achieve the reductions in GHG emissions mandated in AB 32 The AB 32 Scoping Plan contains the main strategies that California will use to reduce GHG emissions Several of these measures are targeted at goods movement including Port-related goods movement and are expected to achieve a combined 37 million metric tons of carbon dioxide equivalent Proposed goods movement measures in the Scoping Plan include

T-5 Ship electrification at ports (previously adopted as regulation in December

2007) T-6 Goods movement efficiency measures

CARB has set guidelines on emission sources or ldquoScopesrdquo which ports and port tenants should include in determining their carbon footprint as well as the geographical domain for the State of California These guidelines are discussed further in Section 17

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 14 October 2009

IMO Greenhouse Gases Initiatives IMOrsquos Maritime Environmental Protection Committee (MEPC) is currently working on developing ldquocoherent and comprehensive future IMO regulatory framework on GHG emissions from shipsrdquo This regulatory framework is scheduled to be presented at the Copenhagen Conference in December 2009 In October 2008 MEPC voted unanimously to approve more stringent marine fuel sulfur limits expanded pollutant Emission Control Areas (ECAs) and marine engine standards These requirements tightened down the existing Annex VI regulations that had been previously adopted In March 2009 the United States and Canada jointly proposed to IMOrsquos MEPC the designation of an ECA for specified portions of the United States and Canadian coastal waters If approved the designation will require all vessels operating within the ECA (whether or not destined for either country) to reduce emissions IAPH World Ports Climate Initiative The principal objective of the IAPH is to develop and foster good relations and cooperation among ports and harbors worldwide by providing a forum to exchange opinions and share experiences on the latest trends of Port management and operations IAPH strives to emphasize and promote the fact that Ports form a vital link in the waterborne transportation of goods and play a vital role in todays global economy IAPH is committed to the protection of environment viewing it as an indispensable element of sustainable economic growth Dr Geraldine Knatz Executive Director of the Port of Los Angeles chairs the IAPH Environmental Committee Recognized as the only international organization representing the voice of the world port industry IAPH is granted Consultative Status as a Non-Governmental Organization (NGO) from five United Nations (UN) specialized agencies and one intergovernmental body

UN Economic and Social Council (ECOSOC) International Maritime Organization (IMO) UN Conference on Trade and Development (UNCTAD) UN Environment Programme (UNEP) International Labour Office (ILO) World Customs Organization (WCO)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 15 October 2009

In July 2008 55 member ports (including the Port) adopted the World Ports Climate Declaration which calls for member and non-member ports to work together through the forum provided by IAPH to address climate change issues One of the key components is for ports to share their best practices and experiences with the worldrsquos ports and various concerned parties One of the focuses of this initiative (one that the Port has volunteered to coordinate) is carbon footprinting associated with Port-related sources (Scopes 1-3) This document provides a broader domain evaluation to help facilitate those discussions and provide context to the greater carbon footprint associated with international goods movement 17 GHG Scopes The 2006 Port-wide GHG emissions are categorized based on the GHG emission scopes as defined under the International Council for Local Environmental Initiatives (ICLEI) Local Government Operations Protocol1 as illustrated in Figure 12 Scope 1 includes all direct GHG emissions from the Portrsquos municipally-controlled stationary and mobile sources Examples of Scope 1 sources include Port-owned fleet vehicles stationary generators and buildings (ie natural gas combustion) Scope 2 consists of indirect GHG emissions associated with the import and consumption of purchased electricity by the Port for its municipally-controlled sources (ie electricity used in Port-owned buildings and operations) Scope 3 emissions include Port tenantsrsquo direct emissions from stationary sources (ie natural gas combustion in buildings) mobile sources (ie ships trucks rail cargo handling equipment and harbor craft) and indirect source emissions associated with purchased electricity (ie buildings electric wharf cranes etc) Scope 3 primarily accounts for emissions associated with the operation of Port tenants Port employee vehicles are also considered under Scope 3 Scope 3 emissions are significantly higher than Scope 1 and 2 emissions In fact within a regional context Scope 3 emissions are greater than 99 percent of total municipally-related GHG emissions As geographical extents are expanded Scope 3 emissions can approach nearly 100 percent of the GHG emissions associated with good movement through a port Although inclusion of Scope 3 emissions in the Portrsquos GHG inventory is not mandatory under the Local Government Operations Protocol the expanded inventory will provide an opportunity for overall understanding quantification and context of GHG emissions associated with goods movement operations In addition since the Port has the most comprehensive data sets associated with Port tenant operations it presents the Port with the opportunity to make higher resolution estimates of its related Scope 3 emissions

1 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emissions inventories Version 10 CARB September 25 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 16 October 2009

Figure 12 2006 Port-wide GHG Emission Scopes

As in the annual emissions inventories the Port publishes this report catalogues Scope 3 emissions that are directly related to the Port specifically focusing on ship truck and train emissions outside of the SoCAB This report significantly broadens the geographical extent of the existing inventory domains as described below in the document 18 Existing Port Inventories

The Port has developed two inventories covering all three emission source Scopes Tenantsrsquo non-road mobile operational emissions have been quantified annually starting in 2001 focusing on Scope 3 mobile emissions sources Also starting in 2006 the Port started to quantify Scope 1 and 2 emissions (excluding Port tenantrsquos emissions) as part of its joining the California Climate Action Registry (CCAR)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 17 October 2009

Scope 3 - Annual Tenant Mobile Operations Inventories The Port began developing inventories for calendar year 2001 with annual updates beginning with the 2005 inventory It is currently conducting the 2008 inventory effort These inventories maximize the use of real and local data to minimize activity assumptions They involve intensive data collection efforts that include support from the Port tenants the Southern California Marine Exchange and numerous other sources The inventories are coordinated with and reviewed by CARB SCAQMD and EPA to ensure estimating methods are consistent with the latest acceptable practices Through this process the Port the tenants and the regulatory agencies are better informed on the activities and emissions associated with goods movement These annual inventories focus on Scope 3 emission categories including

Ocean-Going Vessels (OGVs) Harbor Craft (HC) Cargo Handling Equipment (CHE) Heavy-Duty Vehicles (HDVs) Rail Locomotives (RL)

The geographical domain for these source categories is regional and described fully in Section 19 below

In 2001 and 2005 emission estimates were focused on diesel particulate matter (DPM) particulate matter less than 25 and 10 microns (PM25 amp PM10) oxides of nitrogen oxides (NOx) of sulfur (SOx) carbon monoxide (CO) and hydrocarbons Starting with the 2006 inventories greenhouse gases were included into the suite of pollutants evaluated due to the rising interest in climate change Greenhouse gases that are included are CO2 CH4 and N2O which are rolled up into CO2 equivalents (CO2E)

Scopes 1 amp 2 ndash California Climate Action Registry Inventory The Port joined the CCAR in 2006 and as part of that commitment the Port submits annual inventories that cover Scope 1 and 2 emissions The CCAR inventories include the following emission sources

Scope 1 The Portrsquos municipal stationary sources (buildings stationary generators) and municipal mobile sources (on-road and non-road fleet vehicles)

Scope 2 The Portrsquos municipal electricity imports Emissions are estimated and submitted to the CCAR for public posting The geographical extent is limited to the Portrsquos municipally-controlled property

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 12: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 7 October 2009

The total 2006 Port-related GHG emission distribution by domain (SoCAB in-state out-of-state) is presented in Figure ES8

Figure ES8 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 8 October 2009

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories falls within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 emission distribution for the State of California is presented in Figure ES9

Figure ES9 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 9 October 2009

SECTION 1 INTRODUCTION This document presents the evaluation of an expanded Greenhouse Gas (GHG) emissions domain associated with goods movements directly linked with the Port of Los Angeles (Port) Traditionally the Port-related emission evaluations have been focused on a regional level With this study the Port has moved those evaluations to a national scale for trucks and rail and a global scale for ships 11 Background The Port is the largest container port in the United States accounting for 847 million twenty-foot equivalents (TEUs) of cargo movement in the year 2006 Although recent economic conditions have led to a decrease in cargo throughput economic forecasts suggest that demand for containerized cargo moving through the Port will increase in coming years In order to meet containerized cargo demand and practice sound environmental stewardship the Port has implemented the preparation of annual activity-based emission inventories (EIs) to monitor changes in Port-related emissions over time These inventories are based on detailed activity data and are state-of-the-art for Port-related sources To ensure that the methods and results continue to represent the best methods in emissions inventory development the Port works with a Technical Working Group (TWG) consisting of staff of the California Air Resources Board (CARB) South Coast Air Quality Management District (SCAQMD) and the United States Environmental Protection Agency (EPA) While the EI reports provide an in-depth analysis of Port-related emissions within the SoCAB the Port is now evaluating a much broader national and global geographical domain While the study domain for this report is much broader the emissions analysis is narrower focusing only on GHGs As concern over climate change increases quantification of anthropogenic GHG emissions has become a necessary first step towards reducing the emissions that cause it

12 Purpose of Study

The purpose of this study is to quantify the greater GHG emissions associated with international goods movement directly associated with the Port by expanding the geographical domain nationally and internationally This report combines the existing regional (SoCAB) level inventories with estimates of the international and national emissions associated with those regional activities for the baseline year of 2006 Emissions associated with the regional level of activity come directly from the published 2006 Port estimates that are described in Section 15 below This expanded GHG inventory contains new emission estimates from the expanded geographical extent for the following three source categories that operate beyond the regional domain

Ocean-going vessels Heavy-duty vehicles Rail locomotives

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 10 October 2009

13 Cargo Movements Included For activities beyond the existing geographical boundaries of the annual inventories emissions are estimated from cargo movements within the following geographical extents

Ocean-going vessels All ships inbound and outbound to and from the Port from the shiprsquos originating port or next port of call as described in Section 2 of this report

Heavy-duty vehicles (trucks) inbound and outbound truck movements to and from the Port to population centers within 600 miles of the Port as described in Section 3 of this report

Rail locomotives All Union Pacific (UP) and Burlington Northern Santa Fe (BNSF) (Class 1) inbound and outbound rail movements to and from the Port to major rail cargo destinations as described in Section 4 of this report

The cargo movements that are included in this expanded GHG inventory only represent the direct movements to or from the Port They are not intended to represent the greater international goods movement within the SoCAB or the expanded geographical area An example where this distinction is important is with container ships Most ships follow trans-Pacific routes to the Port directly from Asia and then go to other west coast ports such as Oakland Seattle Tacoma etc The reverse can be true where the ship first arrives from a trans-Pacific voyage at one of these other west coast ports comes to the Port and then returns to Asia Therefore the majority of arrival and departures directly associated with the Port do not include two trans-Pacific legs A significant amount of cargo movement is indirectly associated with international goods movement but not directly related to the Port An example would be imported goods that have been removed from international shipping containers to be distributed from transloading centers and repackaged into domestic trailers for local or regional transport The movement of these goods after the transloading facility is not included in the expanded Port greenhouse gas emissions inventory

14 Greenhouse Gases

Climate change is a global concern During the 20th century global average temperatures increased about one degree centigrade Over the next 100 years temperatures are likely to increase another two to ten degrees centigrade Climate models show that this overall increase in temperature will cause dramatic changes to regional climates and increase the instance and intensity of severe weather events

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 11 October 2009

GHGs are gases present in the earths atmosphere that reduce the loss of heat into space GHGs primarily include water vapor carbon dioxide (CO2) methane (CH4) nitrous oxide (N2O) and certain fluorinated gases used in commercial and industrial applications GHGs affect climate as they concentrate in the Earthrsquos atmosphere and trap heat by blocking some of the long-wave energy normally radiated back into space While some GHGs occur naturally there is widespread agreement among climate scientists worldwide that human activity is increasing the GHGs in the Earthrsquos atmosphere and accelerating global warming and the accompanying changes in climate patterns that accompany it Activities that release GHGs into the air include those that occur in and around a port setting such as the burning of fossil fuels for industrial operations transportation heating and electricity The potential consequences of global warming to Los Angeles include longer and hotter summers longer droughts more devastating wildfires and shortages of public water all of which threaten public health and the economy 15 The Bigger Picture Goods Movement amp Climate Change Traditionally air quality efforts in Southern California and the United States have focused on pollutants that impact the local or regional populations With respect to climate change emissions released anywhere along the goods movement logistic chains can have a negative impact on GHG concentrations globally meaning itrsquos not just a local concern When estimating the Port-related GHG emissions from goods movement activities that pass directly through Port the expanded geographical domain of those activities brings into focus a significant source that is not accounted for in local or regional inventories

This is particularly acute in Ocean-going Vessel (OGV) inventories For example when looking at the emissions covered in the existing Port tenantsrsquo inventories only the local energy demand of ships calling on the Port is estimated In this local domain the ship is typically transitioning from sea speed to maneuvering speeds and operations at-berth (when the propulsion engines are off) The same activities are evaluated on the Asian side as a local concern of the people there However the significant majority of a vesselrsquos energy demand (which is directly related to emissions) occurs during the trans-Pacific leg (international) and is not included in the local inventories It is during this international phase that the shiprsquos energy demand is at its highest because the propulsion engine(s) is operating at its highest level and transiting time is significantly longer than the shiprsquos time at berth This is illustrated in Figure 11

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 12 October 2009

0

5

10

15

20

25

30

35

40

45

Ene

rgy

Dem

and

(MW

)

Energy (MW) 2 5 7 4 2

Ber

th

Men

uv -

Dep

art

PZM

enuv

-Ar

riva

lB

erth

LA

LocalInternationalLocal

41

Trans Pacific

Tran

s

18

Tran

s

17

Figure 11 Energy Demand Example Trans Pacific Transit from Shanghai to Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 13 October 2009

This study represents the first detailed Port-related evaluation of GHG emission levels from ships arriving and departing from their previous and next port respectfully The results of this study can be used to frame further carbon footprinting discussions on domain and sources contributions associated with ports

16 Climate Change Regulations amp Initiatives California has been the leading the nation in developing a regulatory mechanism to respond to the threat of climate change The California Global Warming Solutions Act of 2006 is the first comprehensive climate change regulation in the United States Internationally the International Maritime Organization (IMO) is currently working on greenhouse gas indexing of ships and potential engine and fuel standards targeting these pollutants Also on the international front the International Association of Ports and Harbors (IAPH) board recently signed the World Ports Climate Initiative (WPCI) The IAPH environmental subcommittee held its first symposium in Los Angeles in November 2008 in support of the WPCI and to start work on the initiatives associated with the WPCI More on these initiatives are provided below

The California Global Warming Solutions Act ndash Assembly Bill 32 Assembly Bill 32 (AB 32) the California Global Warming Solutions Act of 2006 establishes a first-in-the world comprehensive program requiring the CARB to develop regulatory and market mechanisms that will ultimately reduce GHG emissions to 1990 levels by the year 2020 and reduce emissions to 80 percent below 1990 levels by 2050 Mandatory caps will begin in 2012 for significant sources and ratchet down to meet the 2020 goals In the interim CARB will begin to measure the GHG emissions of industries determined to be significant sources In December 2008 CARB approved a Climate Change Scoping Plan to achieve the reductions in GHG emissions mandated in AB 32 The AB 32 Scoping Plan contains the main strategies that California will use to reduce GHG emissions Several of these measures are targeted at goods movement including Port-related goods movement and are expected to achieve a combined 37 million metric tons of carbon dioxide equivalent Proposed goods movement measures in the Scoping Plan include

T-5 Ship electrification at ports (previously adopted as regulation in December

2007) T-6 Goods movement efficiency measures

CARB has set guidelines on emission sources or ldquoScopesrdquo which ports and port tenants should include in determining their carbon footprint as well as the geographical domain for the State of California These guidelines are discussed further in Section 17

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 14 October 2009

IMO Greenhouse Gases Initiatives IMOrsquos Maritime Environmental Protection Committee (MEPC) is currently working on developing ldquocoherent and comprehensive future IMO regulatory framework on GHG emissions from shipsrdquo This regulatory framework is scheduled to be presented at the Copenhagen Conference in December 2009 In October 2008 MEPC voted unanimously to approve more stringent marine fuel sulfur limits expanded pollutant Emission Control Areas (ECAs) and marine engine standards These requirements tightened down the existing Annex VI regulations that had been previously adopted In March 2009 the United States and Canada jointly proposed to IMOrsquos MEPC the designation of an ECA for specified portions of the United States and Canadian coastal waters If approved the designation will require all vessels operating within the ECA (whether or not destined for either country) to reduce emissions IAPH World Ports Climate Initiative The principal objective of the IAPH is to develop and foster good relations and cooperation among ports and harbors worldwide by providing a forum to exchange opinions and share experiences on the latest trends of Port management and operations IAPH strives to emphasize and promote the fact that Ports form a vital link in the waterborne transportation of goods and play a vital role in todays global economy IAPH is committed to the protection of environment viewing it as an indispensable element of sustainable economic growth Dr Geraldine Knatz Executive Director of the Port of Los Angeles chairs the IAPH Environmental Committee Recognized as the only international organization representing the voice of the world port industry IAPH is granted Consultative Status as a Non-Governmental Organization (NGO) from five United Nations (UN) specialized agencies and one intergovernmental body

UN Economic and Social Council (ECOSOC) International Maritime Organization (IMO) UN Conference on Trade and Development (UNCTAD) UN Environment Programme (UNEP) International Labour Office (ILO) World Customs Organization (WCO)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 15 October 2009

In July 2008 55 member ports (including the Port) adopted the World Ports Climate Declaration which calls for member and non-member ports to work together through the forum provided by IAPH to address climate change issues One of the key components is for ports to share their best practices and experiences with the worldrsquos ports and various concerned parties One of the focuses of this initiative (one that the Port has volunteered to coordinate) is carbon footprinting associated with Port-related sources (Scopes 1-3) This document provides a broader domain evaluation to help facilitate those discussions and provide context to the greater carbon footprint associated with international goods movement 17 GHG Scopes The 2006 Port-wide GHG emissions are categorized based on the GHG emission scopes as defined under the International Council for Local Environmental Initiatives (ICLEI) Local Government Operations Protocol1 as illustrated in Figure 12 Scope 1 includes all direct GHG emissions from the Portrsquos municipally-controlled stationary and mobile sources Examples of Scope 1 sources include Port-owned fleet vehicles stationary generators and buildings (ie natural gas combustion) Scope 2 consists of indirect GHG emissions associated with the import and consumption of purchased electricity by the Port for its municipally-controlled sources (ie electricity used in Port-owned buildings and operations) Scope 3 emissions include Port tenantsrsquo direct emissions from stationary sources (ie natural gas combustion in buildings) mobile sources (ie ships trucks rail cargo handling equipment and harbor craft) and indirect source emissions associated with purchased electricity (ie buildings electric wharf cranes etc) Scope 3 primarily accounts for emissions associated with the operation of Port tenants Port employee vehicles are also considered under Scope 3 Scope 3 emissions are significantly higher than Scope 1 and 2 emissions In fact within a regional context Scope 3 emissions are greater than 99 percent of total municipally-related GHG emissions As geographical extents are expanded Scope 3 emissions can approach nearly 100 percent of the GHG emissions associated with good movement through a port Although inclusion of Scope 3 emissions in the Portrsquos GHG inventory is not mandatory under the Local Government Operations Protocol the expanded inventory will provide an opportunity for overall understanding quantification and context of GHG emissions associated with goods movement operations In addition since the Port has the most comprehensive data sets associated with Port tenant operations it presents the Port with the opportunity to make higher resolution estimates of its related Scope 3 emissions

1 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emissions inventories Version 10 CARB September 25 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 16 October 2009

Figure 12 2006 Port-wide GHG Emission Scopes

As in the annual emissions inventories the Port publishes this report catalogues Scope 3 emissions that are directly related to the Port specifically focusing on ship truck and train emissions outside of the SoCAB This report significantly broadens the geographical extent of the existing inventory domains as described below in the document 18 Existing Port Inventories

The Port has developed two inventories covering all three emission source Scopes Tenantsrsquo non-road mobile operational emissions have been quantified annually starting in 2001 focusing on Scope 3 mobile emissions sources Also starting in 2006 the Port started to quantify Scope 1 and 2 emissions (excluding Port tenantrsquos emissions) as part of its joining the California Climate Action Registry (CCAR)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 17 October 2009

Scope 3 - Annual Tenant Mobile Operations Inventories The Port began developing inventories for calendar year 2001 with annual updates beginning with the 2005 inventory It is currently conducting the 2008 inventory effort These inventories maximize the use of real and local data to minimize activity assumptions They involve intensive data collection efforts that include support from the Port tenants the Southern California Marine Exchange and numerous other sources The inventories are coordinated with and reviewed by CARB SCAQMD and EPA to ensure estimating methods are consistent with the latest acceptable practices Through this process the Port the tenants and the regulatory agencies are better informed on the activities and emissions associated with goods movement These annual inventories focus on Scope 3 emission categories including

Ocean-Going Vessels (OGVs) Harbor Craft (HC) Cargo Handling Equipment (CHE) Heavy-Duty Vehicles (HDVs) Rail Locomotives (RL)

The geographical domain for these source categories is regional and described fully in Section 19 below

In 2001 and 2005 emission estimates were focused on diesel particulate matter (DPM) particulate matter less than 25 and 10 microns (PM25 amp PM10) oxides of nitrogen oxides (NOx) of sulfur (SOx) carbon monoxide (CO) and hydrocarbons Starting with the 2006 inventories greenhouse gases were included into the suite of pollutants evaluated due to the rising interest in climate change Greenhouse gases that are included are CO2 CH4 and N2O which are rolled up into CO2 equivalents (CO2E)

Scopes 1 amp 2 ndash California Climate Action Registry Inventory The Port joined the CCAR in 2006 and as part of that commitment the Port submits annual inventories that cover Scope 1 and 2 emissions The CCAR inventories include the following emission sources

Scope 1 The Portrsquos municipal stationary sources (buildings stationary generators) and municipal mobile sources (on-road and non-road fleet vehicles)

Scope 2 The Portrsquos municipal electricity imports Emissions are estimated and submitted to the CCAR for public posting The geographical extent is limited to the Portrsquos municipally-controlled property

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 13: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 8 October 2009

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories falls within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 emission distribution for the State of California is presented in Figure ES9

Figure ES9 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 9 October 2009

SECTION 1 INTRODUCTION This document presents the evaluation of an expanded Greenhouse Gas (GHG) emissions domain associated with goods movements directly linked with the Port of Los Angeles (Port) Traditionally the Port-related emission evaluations have been focused on a regional level With this study the Port has moved those evaluations to a national scale for trucks and rail and a global scale for ships 11 Background The Port is the largest container port in the United States accounting for 847 million twenty-foot equivalents (TEUs) of cargo movement in the year 2006 Although recent economic conditions have led to a decrease in cargo throughput economic forecasts suggest that demand for containerized cargo moving through the Port will increase in coming years In order to meet containerized cargo demand and practice sound environmental stewardship the Port has implemented the preparation of annual activity-based emission inventories (EIs) to monitor changes in Port-related emissions over time These inventories are based on detailed activity data and are state-of-the-art for Port-related sources To ensure that the methods and results continue to represent the best methods in emissions inventory development the Port works with a Technical Working Group (TWG) consisting of staff of the California Air Resources Board (CARB) South Coast Air Quality Management District (SCAQMD) and the United States Environmental Protection Agency (EPA) While the EI reports provide an in-depth analysis of Port-related emissions within the SoCAB the Port is now evaluating a much broader national and global geographical domain While the study domain for this report is much broader the emissions analysis is narrower focusing only on GHGs As concern over climate change increases quantification of anthropogenic GHG emissions has become a necessary first step towards reducing the emissions that cause it

12 Purpose of Study

The purpose of this study is to quantify the greater GHG emissions associated with international goods movement directly associated with the Port by expanding the geographical domain nationally and internationally This report combines the existing regional (SoCAB) level inventories with estimates of the international and national emissions associated with those regional activities for the baseline year of 2006 Emissions associated with the regional level of activity come directly from the published 2006 Port estimates that are described in Section 15 below This expanded GHG inventory contains new emission estimates from the expanded geographical extent for the following three source categories that operate beyond the regional domain

Ocean-going vessels Heavy-duty vehicles Rail locomotives

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 10 October 2009

13 Cargo Movements Included For activities beyond the existing geographical boundaries of the annual inventories emissions are estimated from cargo movements within the following geographical extents

Ocean-going vessels All ships inbound and outbound to and from the Port from the shiprsquos originating port or next port of call as described in Section 2 of this report

Heavy-duty vehicles (trucks) inbound and outbound truck movements to and from the Port to population centers within 600 miles of the Port as described in Section 3 of this report

Rail locomotives All Union Pacific (UP) and Burlington Northern Santa Fe (BNSF) (Class 1) inbound and outbound rail movements to and from the Port to major rail cargo destinations as described in Section 4 of this report

The cargo movements that are included in this expanded GHG inventory only represent the direct movements to or from the Port They are not intended to represent the greater international goods movement within the SoCAB or the expanded geographical area An example where this distinction is important is with container ships Most ships follow trans-Pacific routes to the Port directly from Asia and then go to other west coast ports such as Oakland Seattle Tacoma etc The reverse can be true where the ship first arrives from a trans-Pacific voyage at one of these other west coast ports comes to the Port and then returns to Asia Therefore the majority of arrival and departures directly associated with the Port do not include two trans-Pacific legs A significant amount of cargo movement is indirectly associated with international goods movement but not directly related to the Port An example would be imported goods that have been removed from international shipping containers to be distributed from transloading centers and repackaged into domestic trailers for local or regional transport The movement of these goods after the transloading facility is not included in the expanded Port greenhouse gas emissions inventory

14 Greenhouse Gases

Climate change is a global concern During the 20th century global average temperatures increased about one degree centigrade Over the next 100 years temperatures are likely to increase another two to ten degrees centigrade Climate models show that this overall increase in temperature will cause dramatic changes to regional climates and increase the instance and intensity of severe weather events

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 11 October 2009

GHGs are gases present in the earths atmosphere that reduce the loss of heat into space GHGs primarily include water vapor carbon dioxide (CO2) methane (CH4) nitrous oxide (N2O) and certain fluorinated gases used in commercial and industrial applications GHGs affect climate as they concentrate in the Earthrsquos atmosphere and trap heat by blocking some of the long-wave energy normally radiated back into space While some GHGs occur naturally there is widespread agreement among climate scientists worldwide that human activity is increasing the GHGs in the Earthrsquos atmosphere and accelerating global warming and the accompanying changes in climate patterns that accompany it Activities that release GHGs into the air include those that occur in and around a port setting such as the burning of fossil fuels for industrial operations transportation heating and electricity The potential consequences of global warming to Los Angeles include longer and hotter summers longer droughts more devastating wildfires and shortages of public water all of which threaten public health and the economy 15 The Bigger Picture Goods Movement amp Climate Change Traditionally air quality efforts in Southern California and the United States have focused on pollutants that impact the local or regional populations With respect to climate change emissions released anywhere along the goods movement logistic chains can have a negative impact on GHG concentrations globally meaning itrsquos not just a local concern When estimating the Port-related GHG emissions from goods movement activities that pass directly through Port the expanded geographical domain of those activities brings into focus a significant source that is not accounted for in local or regional inventories

This is particularly acute in Ocean-going Vessel (OGV) inventories For example when looking at the emissions covered in the existing Port tenantsrsquo inventories only the local energy demand of ships calling on the Port is estimated In this local domain the ship is typically transitioning from sea speed to maneuvering speeds and operations at-berth (when the propulsion engines are off) The same activities are evaluated on the Asian side as a local concern of the people there However the significant majority of a vesselrsquos energy demand (which is directly related to emissions) occurs during the trans-Pacific leg (international) and is not included in the local inventories It is during this international phase that the shiprsquos energy demand is at its highest because the propulsion engine(s) is operating at its highest level and transiting time is significantly longer than the shiprsquos time at berth This is illustrated in Figure 11

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 12 October 2009

0

5

10

15

20

25

30

35

40

45

Ene

rgy

Dem

and

(MW

)

Energy (MW) 2 5 7 4 2

Ber

th

Men

uv -

Dep

art

PZM

enuv

-Ar

riva

lB

erth

LA

LocalInternationalLocal

41

Trans Pacific

Tran

s

18

Tran

s

17

Figure 11 Energy Demand Example Trans Pacific Transit from Shanghai to Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 13 October 2009

This study represents the first detailed Port-related evaluation of GHG emission levels from ships arriving and departing from their previous and next port respectfully The results of this study can be used to frame further carbon footprinting discussions on domain and sources contributions associated with ports

16 Climate Change Regulations amp Initiatives California has been the leading the nation in developing a regulatory mechanism to respond to the threat of climate change The California Global Warming Solutions Act of 2006 is the first comprehensive climate change regulation in the United States Internationally the International Maritime Organization (IMO) is currently working on greenhouse gas indexing of ships and potential engine and fuel standards targeting these pollutants Also on the international front the International Association of Ports and Harbors (IAPH) board recently signed the World Ports Climate Initiative (WPCI) The IAPH environmental subcommittee held its first symposium in Los Angeles in November 2008 in support of the WPCI and to start work on the initiatives associated with the WPCI More on these initiatives are provided below

The California Global Warming Solutions Act ndash Assembly Bill 32 Assembly Bill 32 (AB 32) the California Global Warming Solutions Act of 2006 establishes a first-in-the world comprehensive program requiring the CARB to develop regulatory and market mechanisms that will ultimately reduce GHG emissions to 1990 levels by the year 2020 and reduce emissions to 80 percent below 1990 levels by 2050 Mandatory caps will begin in 2012 for significant sources and ratchet down to meet the 2020 goals In the interim CARB will begin to measure the GHG emissions of industries determined to be significant sources In December 2008 CARB approved a Climate Change Scoping Plan to achieve the reductions in GHG emissions mandated in AB 32 The AB 32 Scoping Plan contains the main strategies that California will use to reduce GHG emissions Several of these measures are targeted at goods movement including Port-related goods movement and are expected to achieve a combined 37 million metric tons of carbon dioxide equivalent Proposed goods movement measures in the Scoping Plan include

T-5 Ship electrification at ports (previously adopted as regulation in December

2007) T-6 Goods movement efficiency measures

CARB has set guidelines on emission sources or ldquoScopesrdquo which ports and port tenants should include in determining their carbon footprint as well as the geographical domain for the State of California These guidelines are discussed further in Section 17

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 14 October 2009

IMO Greenhouse Gases Initiatives IMOrsquos Maritime Environmental Protection Committee (MEPC) is currently working on developing ldquocoherent and comprehensive future IMO regulatory framework on GHG emissions from shipsrdquo This regulatory framework is scheduled to be presented at the Copenhagen Conference in December 2009 In October 2008 MEPC voted unanimously to approve more stringent marine fuel sulfur limits expanded pollutant Emission Control Areas (ECAs) and marine engine standards These requirements tightened down the existing Annex VI regulations that had been previously adopted In March 2009 the United States and Canada jointly proposed to IMOrsquos MEPC the designation of an ECA for specified portions of the United States and Canadian coastal waters If approved the designation will require all vessels operating within the ECA (whether or not destined for either country) to reduce emissions IAPH World Ports Climate Initiative The principal objective of the IAPH is to develop and foster good relations and cooperation among ports and harbors worldwide by providing a forum to exchange opinions and share experiences on the latest trends of Port management and operations IAPH strives to emphasize and promote the fact that Ports form a vital link in the waterborne transportation of goods and play a vital role in todays global economy IAPH is committed to the protection of environment viewing it as an indispensable element of sustainable economic growth Dr Geraldine Knatz Executive Director of the Port of Los Angeles chairs the IAPH Environmental Committee Recognized as the only international organization representing the voice of the world port industry IAPH is granted Consultative Status as a Non-Governmental Organization (NGO) from five United Nations (UN) specialized agencies and one intergovernmental body

UN Economic and Social Council (ECOSOC) International Maritime Organization (IMO) UN Conference on Trade and Development (UNCTAD) UN Environment Programme (UNEP) International Labour Office (ILO) World Customs Organization (WCO)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 15 October 2009

In July 2008 55 member ports (including the Port) adopted the World Ports Climate Declaration which calls for member and non-member ports to work together through the forum provided by IAPH to address climate change issues One of the key components is for ports to share their best practices and experiences with the worldrsquos ports and various concerned parties One of the focuses of this initiative (one that the Port has volunteered to coordinate) is carbon footprinting associated with Port-related sources (Scopes 1-3) This document provides a broader domain evaluation to help facilitate those discussions and provide context to the greater carbon footprint associated with international goods movement 17 GHG Scopes The 2006 Port-wide GHG emissions are categorized based on the GHG emission scopes as defined under the International Council for Local Environmental Initiatives (ICLEI) Local Government Operations Protocol1 as illustrated in Figure 12 Scope 1 includes all direct GHG emissions from the Portrsquos municipally-controlled stationary and mobile sources Examples of Scope 1 sources include Port-owned fleet vehicles stationary generators and buildings (ie natural gas combustion) Scope 2 consists of indirect GHG emissions associated with the import and consumption of purchased electricity by the Port for its municipally-controlled sources (ie electricity used in Port-owned buildings and operations) Scope 3 emissions include Port tenantsrsquo direct emissions from stationary sources (ie natural gas combustion in buildings) mobile sources (ie ships trucks rail cargo handling equipment and harbor craft) and indirect source emissions associated with purchased electricity (ie buildings electric wharf cranes etc) Scope 3 primarily accounts for emissions associated with the operation of Port tenants Port employee vehicles are also considered under Scope 3 Scope 3 emissions are significantly higher than Scope 1 and 2 emissions In fact within a regional context Scope 3 emissions are greater than 99 percent of total municipally-related GHG emissions As geographical extents are expanded Scope 3 emissions can approach nearly 100 percent of the GHG emissions associated with good movement through a port Although inclusion of Scope 3 emissions in the Portrsquos GHG inventory is not mandatory under the Local Government Operations Protocol the expanded inventory will provide an opportunity for overall understanding quantification and context of GHG emissions associated with goods movement operations In addition since the Port has the most comprehensive data sets associated with Port tenant operations it presents the Port with the opportunity to make higher resolution estimates of its related Scope 3 emissions

1 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emissions inventories Version 10 CARB September 25 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 16 October 2009

Figure 12 2006 Port-wide GHG Emission Scopes

As in the annual emissions inventories the Port publishes this report catalogues Scope 3 emissions that are directly related to the Port specifically focusing on ship truck and train emissions outside of the SoCAB This report significantly broadens the geographical extent of the existing inventory domains as described below in the document 18 Existing Port Inventories

The Port has developed two inventories covering all three emission source Scopes Tenantsrsquo non-road mobile operational emissions have been quantified annually starting in 2001 focusing on Scope 3 mobile emissions sources Also starting in 2006 the Port started to quantify Scope 1 and 2 emissions (excluding Port tenantrsquos emissions) as part of its joining the California Climate Action Registry (CCAR)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 17 October 2009

Scope 3 - Annual Tenant Mobile Operations Inventories The Port began developing inventories for calendar year 2001 with annual updates beginning with the 2005 inventory It is currently conducting the 2008 inventory effort These inventories maximize the use of real and local data to minimize activity assumptions They involve intensive data collection efforts that include support from the Port tenants the Southern California Marine Exchange and numerous other sources The inventories are coordinated with and reviewed by CARB SCAQMD and EPA to ensure estimating methods are consistent with the latest acceptable practices Through this process the Port the tenants and the regulatory agencies are better informed on the activities and emissions associated with goods movement These annual inventories focus on Scope 3 emission categories including

Ocean-Going Vessels (OGVs) Harbor Craft (HC) Cargo Handling Equipment (CHE) Heavy-Duty Vehicles (HDVs) Rail Locomotives (RL)

The geographical domain for these source categories is regional and described fully in Section 19 below

In 2001 and 2005 emission estimates were focused on diesel particulate matter (DPM) particulate matter less than 25 and 10 microns (PM25 amp PM10) oxides of nitrogen oxides (NOx) of sulfur (SOx) carbon monoxide (CO) and hydrocarbons Starting with the 2006 inventories greenhouse gases were included into the suite of pollutants evaluated due to the rising interest in climate change Greenhouse gases that are included are CO2 CH4 and N2O which are rolled up into CO2 equivalents (CO2E)

Scopes 1 amp 2 ndash California Climate Action Registry Inventory The Port joined the CCAR in 2006 and as part of that commitment the Port submits annual inventories that cover Scope 1 and 2 emissions The CCAR inventories include the following emission sources

Scope 1 The Portrsquos municipal stationary sources (buildings stationary generators) and municipal mobile sources (on-road and non-road fleet vehicles)

Scope 2 The Portrsquos municipal electricity imports Emissions are estimated and submitted to the CCAR for public posting The geographical extent is limited to the Portrsquos municipally-controlled property

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 14: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 9 October 2009

SECTION 1 INTRODUCTION This document presents the evaluation of an expanded Greenhouse Gas (GHG) emissions domain associated with goods movements directly linked with the Port of Los Angeles (Port) Traditionally the Port-related emission evaluations have been focused on a regional level With this study the Port has moved those evaluations to a national scale for trucks and rail and a global scale for ships 11 Background The Port is the largest container port in the United States accounting for 847 million twenty-foot equivalents (TEUs) of cargo movement in the year 2006 Although recent economic conditions have led to a decrease in cargo throughput economic forecasts suggest that demand for containerized cargo moving through the Port will increase in coming years In order to meet containerized cargo demand and practice sound environmental stewardship the Port has implemented the preparation of annual activity-based emission inventories (EIs) to monitor changes in Port-related emissions over time These inventories are based on detailed activity data and are state-of-the-art for Port-related sources To ensure that the methods and results continue to represent the best methods in emissions inventory development the Port works with a Technical Working Group (TWG) consisting of staff of the California Air Resources Board (CARB) South Coast Air Quality Management District (SCAQMD) and the United States Environmental Protection Agency (EPA) While the EI reports provide an in-depth analysis of Port-related emissions within the SoCAB the Port is now evaluating a much broader national and global geographical domain While the study domain for this report is much broader the emissions analysis is narrower focusing only on GHGs As concern over climate change increases quantification of anthropogenic GHG emissions has become a necessary first step towards reducing the emissions that cause it

12 Purpose of Study

The purpose of this study is to quantify the greater GHG emissions associated with international goods movement directly associated with the Port by expanding the geographical domain nationally and internationally This report combines the existing regional (SoCAB) level inventories with estimates of the international and national emissions associated with those regional activities for the baseline year of 2006 Emissions associated with the regional level of activity come directly from the published 2006 Port estimates that are described in Section 15 below This expanded GHG inventory contains new emission estimates from the expanded geographical extent for the following three source categories that operate beyond the regional domain

Ocean-going vessels Heavy-duty vehicles Rail locomotives

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 10 October 2009

13 Cargo Movements Included For activities beyond the existing geographical boundaries of the annual inventories emissions are estimated from cargo movements within the following geographical extents

Ocean-going vessels All ships inbound and outbound to and from the Port from the shiprsquos originating port or next port of call as described in Section 2 of this report

Heavy-duty vehicles (trucks) inbound and outbound truck movements to and from the Port to population centers within 600 miles of the Port as described in Section 3 of this report

Rail locomotives All Union Pacific (UP) and Burlington Northern Santa Fe (BNSF) (Class 1) inbound and outbound rail movements to and from the Port to major rail cargo destinations as described in Section 4 of this report

The cargo movements that are included in this expanded GHG inventory only represent the direct movements to or from the Port They are not intended to represent the greater international goods movement within the SoCAB or the expanded geographical area An example where this distinction is important is with container ships Most ships follow trans-Pacific routes to the Port directly from Asia and then go to other west coast ports such as Oakland Seattle Tacoma etc The reverse can be true where the ship first arrives from a trans-Pacific voyage at one of these other west coast ports comes to the Port and then returns to Asia Therefore the majority of arrival and departures directly associated with the Port do not include two trans-Pacific legs A significant amount of cargo movement is indirectly associated with international goods movement but not directly related to the Port An example would be imported goods that have been removed from international shipping containers to be distributed from transloading centers and repackaged into domestic trailers for local or regional transport The movement of these goods after the transloading facility is not included in the expanded Port greenhouse gas emissions inventory

14 Greenhouse Gases

Climate change is a global concern During the 20th century global average temperatures increased about one degree centigrade Over the next 100 years temperatures are likely to increase another two to ten degrees centigrade Climate models show that this overall increase in temperature will cause dramatic changes to regional climates and increase the instance and intensity of severe weather events

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 11 October 2009

GHGs are gases present in the earths atmosphere that reduce the loss of heat into space GHGs primarily include water vapor carbon dioxide (CO2) methane (CH4) nitrous oxide (N2O) and certain fluorinated gases used in commercial and industrial applications GHGs affect climate as they concentrate in the Earthrsquos atmosphere and trap heat by blocking some of the long-wave energy normally radiated back into space While some GHGs occur naturally there is widespread agreement among climate scientists worldwide that human activity is increasing the GHGs in the Earthrsquos atmosphere and accelerating global warming and the accompanying changes in climate patterns that accompany it Activities that release GHGs into the air include those that occur in and around a port setting such as the burning of fossil fuels for industrial operations transportation heating and electricity The potential consequences of global warming to Los Angeles include longer and hotter summers longer droughts more devastating wildfires and shortages of public water all of which threaten public health and the economy 15 The Bigger Picture Goods Movement amp Climate Change Traditionally air quality efforts in Southern California and the United States have focused on pollutants that impact the local or regional populations With respect to climate change emissions released anywhere along the goods movement logistic chains can have a negative impact on GHG concentrations globally meaning itrsquos not just a local concern When estimating the Port-related GHG emissions from goods movement activities that pass directly through Port the expanded geographical domain of those activities brings into focus a significant source that is not accounted for in local or regional inventories

This is particularly acute in Ocean-going Vessel (OGV) inventories For example when looking at the emissions covered in the existing Port tenantsrsquo inventories only the local energy demand of ships calling on the Port is estimated In this local domain the ship is typically transitioning from sea speed to maneuvering speeds and operations at-berth (when the propulsion engines are off) The same activities are evaluated on the Asian side as a local concern of the people there However the significant majority of a vesselrsquos energy demand (which is directly related to emissions) occurs during the trans-Pacific leg (international) and is not included in the local inventories It is during this international phase that the shiprsquos energy demand is at its highest because the propulsion engine(s) is operating at its highest level and transiting time is significantly longer than the shiprsquos time at berth This is illustrated in Figure 11

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 12 October 2009

0

5

10

15

20

25

30

35

40

45

Ene

rgy

Dem

and

(MW

)

Energy (MW) 2 5 7 4 2

Ber

th

Men

uv -

Dep

art

PZM

enuv

-Ar

riva

lB

erth

LA

LocalInternationalLocal

41

Trans Pacific

Tran

s

18

Tran

s

17

Figure 11 Energy Demand Example Trans Pacific Transit from Shanghai to Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 13 October 2009

This study represents the first detailed Port-related evaluation of GHG emission levels from ships arriving and departing from their previous and next port respectfully The results of this study can be used to frame further carbon footprinting discussions on domain and sources contributions associated with ports

16 Climate Change Regulations amp Initiatives California has been the leading the nation in developing a regulatory mechanism to respond to the threat of climate change The California Global Warming Solutions Act of 2006 is the first comprehensive climate change regulation in the United States Internationally the International Maritime Organization (IMO) is currently working on greenhouse gas indexing of ships and potential engine and fuel standards targeting these pollutants Also on the international front the International Association of Ports and Harbors (IAPH) board recently signed the World Ports Climate Initiative (WPCI) The IAPH environmental subcommittee held its first symposium in Los Angeles in November 2008 in support of the WPCI and to start work on the initiatives associated with the WPCI More on these initiatives are provided below

The California Global Warming Solutions Act ndash Assembly Bill 32 Assembly Bill 32 (AB 32) the California Global Warming Solutions Act of 2006 establishes a first-in-the world comprehensive program requiring the CARB to develop regulatory and market mechanisms that will ultimately reduce GHG emissions to 1990 levels by the year 2020 and reduce emissions to 80 percent below 1990 levels by 2050 Mandatory caps will begin in 2012 for significant sources and ratchet down to meet the 2020 goals In the interim CARB will begin to measure the GHG emissions of industries determined to be significant sources In December 2008 CARB approved a Climate Change Scoping Plan to achieve the reductions in GHG emissions mandated in AB 32 The AB 32 Scoping Plan contains the main strategies that California will use to reduce GHG emissions Several of these measures are targeted at goods movement including Port-related goods movement and are expected to achieve a combined 37 million metric tons of carbon dioxide equivalent Proposed goods movement measures in the Scoping Plan include

T-5 Ship electrification at ports (previously adopted as regulation in December

2007) T-6 Goods movement efficiency measures

CARB has set guidelines on emission sources or ldquoScopesrdquo which ports and port tenants should include in determining their carbon footprint as well as the geographical domain for the State of California These guidelines are discussed further in Section 17

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 14 October 2009

IMO Greenhouse Gases Initiatives IMOrsquos Maritime Environmental Protection Committee (MEPC) is currently working on developing ldquocoherent and comprehensive future IMO regulatory framework on GHG emissions from shipsrdquo This regulatory framework is scheduled to be presented at the Copenhagen Conference in December 2009 In October 2008 MEPC voted unanimously to approve more stringent marine fuel sulfur limits expanded pollutant Emission Control Areas (ECAs) and marine engine standards These requirements tightened down the existing Annex VI regulations that had been previously adopted In March 2009 the United States and Canada jointly proposed to IMOrsquos MEPC the designation of an ECA for specified portions of the United States and Canadian coastal waters If approved the designation will require all vessels operating within the ECA (whether or not destined for either country) to reduce emissions IAPH World Ports Climate Initiative The principal objective of the IAPH is to develop and foster good relations and cooperation among ports and harbors worldwide by providing a forum to exchange opinions and share experiences on the latest trends of Port management and operations IAPH strives to emphasize and promote the fact that Ports form a vital link in the waterborne transportation of goods and play a vital role in todays global economy IAPH is committed to the protection of environment viewing it as an indispensable element of sustainable economic growth Dr Geraldine Knatz Executive Director of the Port of Los Angeles chairs the IAPH Environmental Committee Recognized as the only international organization representing the voice of the world port industry IAPH is granted Consultative Status as a Non-Governmental Organization (NGO) from five United Nations (UN) specialized agencies and one intergovernmental body

UN Economic and Social Council (ECOSOC) International Maritime Organization (IMO) UN Conference on Trade and Development (UNCTAD) UN Environment Programme (UNEP) International Labour Office (ILO) World Customs Organization (WCO)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 15 October 2009

In July 2008 55 member ports (including the Port) adopted the World Ports Climate Declaration which calls for member and non-member ports to work together through the forum provided by IAPH to address climate change issues One of the key components is for ports to share their best practices and experiences with the worldrsquos ports and various concerned parties One of the focuses of this initiative (one that the Port has volunteered to coordinate) is carbon footprinting associated with Port-related sources (Scopes 1-3) This document provides a broader domain evaluation to help facilitate those discussions and provide context to the greater carbon footprint associated with international goods movement 17 GHG Scopes The 2006 Port-wide GHG emissions are categorized based on the GHG emission scopes as defined under the International Council for Local Environmental Initiatives (ICLEI) Local Government Operations Protocol1 as illustrated in Figure 12 Scope 1 includes all direct GHG emissions from the Portrsquos municipally-controlled stationary and mobile sources Examples of Scope 1 sources include Port-owned fleet vehicles stationary generators and buildings (ie natural gas combustion) Scope 2 consists of indirect GHG emissions associated with the import and consumption of purchased electricity by the Port for its municipally-controlled sources (ie electricity used in Port-owned buildings and operations) Scope 3 emissions include Port tenantsrsquo direct emissions from stationary sources (ie natural gas combustion in buildings) mobile sources (ie ships trucks rail cargo handling equipment and harbor craft) and indirect source emissions associated with purchased electricity (ie buildings electric wharf cranes etc) Scope 3 primarily accounts for emissions associated with the operation of Port tenants Port employee vehicles are also considered under Scope 3 Scope 3 emissions are significantly higher than Scope 1 and 2 emissions In fact within a regional context Scope 3 emissions are greater than 99 percent of total municipally-related GHG emissions As geographical extents are expanded Scope 3 emissions can approach nearly 100 percent of the GHG emissions associated with good movement through a port Although inclusion of Scope 3 emissions in the Portrsquos GHG inventory is not mandatory under the Local Government Operations Protocol the expanded inventory will provide an opportunity for overall understanding quantification and context of GHG emissions associated with goods movement operations In addition since the Port has the most comprehensive data sets associated with Port tenant operations it presents the Port with the opportunity to make higher resolution estimates of its related Scope 3 emissions

1 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emissions inventories Version 10 CARB September 25 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 16 October 2009

Figure 12 2006 Port-wide GHG Emission Scopes

As in the annual emissions inventories the Port publishes this report catalogues Scope 3 emissions that are directly related to the Port specifically focusing on ship truck and train emissions outside of the SoCAB This report significantly broadens the geographical extent of the existing inventory domains as described below in the document 18 Existing Port Inventories

The Port has developed two inventories covering all three emission source Scopes Tenantsrsquo non-road mobile operational emissions have been quantified annually starting in 2001 focusing on Scope 3 mobile emissions sources Also starting in 2006 the Port started to quantify Scope 1 and 2 emissions (excluding Port tenantrsquos emissions) as part of its joining the California Climate Action Registry (CCAR)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 17 October 2009

Scope 3 - Annual Tenant Mobile Operations Inventories The Port began developing inventories for calendar year 2001 with annual updates beginning with the 2005 inventory It is currently conducting the 2008 inventory effort These inventories maximize the use of real and local data to minimize activity assumptions They involve intensive data collection efforts that include support from the Port tenants the Southern California Marine Exchange and numerous other sources The inventories are coordinated with and reviewed by CARB SCAQMD and EPA to ensure estimating methods are consistent with the latest acceptable practices Through this process the Port the tenants and the regulatory agencies are better informed on the activities and emissions associated with goods movement These annual inventories focus on Scope 3 emission categories including

Ocean-Going Vessels (OGVs) Harbor Craft (HC) Cargo Handling Equipment (CHE) Heavy-Duty Vehicles (HDVs) Rail Locomotives (RL)

The geographical domain for these source categories is regional and described fully in Section 19 below

In 2001 and 2005 emission estimates were focused on diesel particulate matter (DPM) particulate matter less than 25 and 10 microns (PM25 amp PM10) oxides of nitrogen oxides (NOx) of sulfur (SOx) carbon monoxide (CO) and hydrocarbons Starting with the 2006 inventories greenhouse gases were included into the suite of pollutants evaluated due to the rising interest in climate change Greenhouse gases that are included are CO2 CH4 and N2O which are rolled up into CO2 equivalents (CO2E)

Scopes 1 amp 2 ndash California Climate Action Registry Inventory The Port joined the CCAR in 2006 and as part of that commitment the Port submits annual inventories that cover Scope 1 and 2 emissions The CCAR inventories include the following emission sources

Scope 1 The Portrsquos municipal stationary sources (buildings stationary generators) and municipal mobile sources (on-road and non-road fleet vehicles)

Scope 2 The Portrsquos municipal electricity imports Emissions are estimated and submitted to the CCAR for public posting The geographical extent is limited to the Portrsquos municipally-controlled property

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 15: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 10 October 2009

13 Cargo Movements Included For activities beyond the existing geographical boundaries of the annual inventories emissions are estimated from cargo movements within the following geographical extents

Ocean-going vessels All ships inbound and outbound to and from the Port from the shiprsquos originating port or next port of call as described in Section 2 of this report

Heavy-duty vehicles (trucks) inbound and outbound truck movements to and from the Port to population centers within 600 miles of the Port as described in Section 3 of this report

Rail locomotives All Union Pacific (UP) and Burlington Northern Santa Fe (BNSF) (Class 1) inbound and outbound rail movements to and from the Port to major rail cargo destinations as described in Section 4 of this report

The cargo movements that are included in this expanded GHG inventory only represent the direct movements to or from the Port They are not intended to represent the greater international goods movement within the SoCAB or the expanded geographical area An example where this distinction is important is with container ships Most ships follow trans-Pacific routes to the Port directly from Asia and then go to other west coast ports such as Oakland Seattle Tacoma etc The reverse can be true where the ship first arrives from a trans-Pacific voyage at one of these other west coast ports comes to the Port and then returns to Asia Therefore the majority of arrival and departures directly associated with the Port do not include two trans-Pacific legs A significant amount of cargo movement is indirectly associated with international goods movement but not directly related to the Port An example would be imported goods that have been removed from international shipping containers to be distributed from transloading centers and repackaged into domestic trailers for local or regional transport The movement of these goods after the transloading facility is not included in the expanded Port greenhouse gas emissions inventory

14 Greenhouse Gases

Climate change is a global concern During the 20th century global average temperatures increased about one degree centigrade Over the next 100 years temperatures are likely to increase another two to ten degrees centigrade Climate models show that this overall increase in temperature will cause dramatic changes to regional climates and increase the instance and intensity of severe weather events

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 11 October 2009

GHGs are gases present in the earths atmosphere that reduce the loss of heat into space GHGs primarily include water vapor carbon dioxide (CO2) methane (CH4) nitrous oxide (N2O) and certain fluorinated gases used in commercial and industrial applications GHGs affect climate as they concentrate in the Earthrsquos atmosphere and trap heat by blocking some of the long-wave energy normally radiated back into space While some GHGs occur naturally there is widespread agreement among climate scientists worldwide that human activity is increasing the GHGs in the Earthrsquos atmosphere and accelerating global warming and the accompanying changes in climate patterns that accompany it Activities that release GHGs into the air include those that occur in and around a port setting such as the burning of fossil fuels for industrial operations transportation heating and electricity The potential consequences of global warming to Los Angeles include longer and hotter summers longer droughts more devastating wildfires and shortages of public water all of which threaten public health and the economy 15 The Bigger Picture Goods Movement amp Climate Change Traditionally air quality efforts in Southern California and the United States have focused on pollutants that impact the local or regional populations With respect to climate change emissions released anywhere along the goods movement logistic chains can have a negative impact on GHG concentrations globally meaning itrsquos not just a local concern When estimating the Port-related GHG emissions from goods movement activities that pass directly through Port the expanded geographical domain of those activities brings into focus a significant source that is not accounted for in local or regional inventories

This is particularly acute in Ocean-going Vessel (OGV) inventories For example when looking at the emissions covered in the existing Port tenantsrsquo inventories only the local energy demand of ships calling on the Port is estimated In this local domain the ship is typically transitioning from sea speed to maneuvering speeds and operations at-berth (when the propulsion engines are off) The same activities are evaluated on the Asian side as a local concern of the people there However the significant majority of a vesselrsquos energy demand (which is directly related to emissions) occurs during the trans-Pacific leg (international) and is not included in the local inventories It is during this international phase that the shiprsquos energy demand is at its highest because the propulsion engine(s) is operating at its highest level and transiting time is significantly longer than the shiprsquos time at berth This is illustrated in Figure 11

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 12 October 2009

0

5

10

15

20

25

30

35

40

45

Ene

rgy

Dem

and

(MW

)

Energy (MW) 2 5 7 4 2

Ber

th

Men

uv -

Dep

art

PZM

enuv

-Ar

riva

lB

erth

LA

LocalInternationalLocal

41

Trans Pacific

Tran

s

18

Tran

s

17

Figure 11 Energy Demand Example Trans Pacific Transit from Shanghai to Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 13 October 2009

This study represents the first detailed Port-related evaluation of GHG emission levels from ships arriving and departing from their previous and next port respectfully The results of this study can be used to frame further carbon footprinting discussions on domain and sources contributions associated with ports

16 Climate Change Regulations amp Initiatives California has been the leading the nation in developing a regulatory mechanism to respond to the threat of climate change The California Global Warming Solutions Act of 2006 is the first comprehensive climate change regulation in the United States Internationally the International Maritime Organization (IMO) is currently working on greenhouse gas indexing of ships and potential engine and fuel standards targeting these pollutants Also on the international front the International Association of Ports and Harbors (IAPH) board recently signed the World Ports Climate Initiative (WPCI) The IAPH environmental subcommittee held its first symposium in Los Angeles in November 2008 in support of the WPCI and to start work on the initiatives associated with the WPCI More on these initiatives are provided below

The California Global Warming Solutions Act ndash Assembly Bill 32 Assembly Bill 32 (AB 32) the California Global Warming Solutions Act of 2006 establishes a first-in-the world comprehensive program requiring the CARB to develop regulatory and market mechanisms that will ultimately reduce GHG emissions to 1990 levels by the year 2020 and reduce emissions to 80 percent below 1990 levels by 2050 Mandatory caps will begin in 2012 for significant sources and ratchet down to meet the 2020 goals In the interim CARB will begin to measure the GHG emissions of industries determined to be significant sources In December 2008 CARB approved a Climate Change Scoping Plan to achieve the reductions in GHG emissions mandated in AB 32 The AB 32 Scoping Plan contains the main strategies that California will use to reduce GHG emissions Several of these measures are targeted at goods movement including Port-related goods movement and are expected to achieve a combined 37 million metric tons of carbon dioxide equivalent Proposed goods movement measures in the Scoping Plan include

T-5 Ship electrification at ports (previously adopted as regulation in December

2007) T-6 Goods movement efficiency measures

CARB has set guidelines on emission sources or ldquoScopesrdquo which ports and port tenants should include in determining their carbon footprint as well as the geographical domain for the State of California These guidelines are discussed further in Section 17

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 14 October 2009

IMO Greenhouse Gases Initiatives IMOrsquos Maritime Environmental Protection Committee (MEPC) is currently working on developing ldquocoherent and comprehensive future IMO regulatory framework on GHG emissions from shipsrdquo This regulatory framework is scheduled to be presented at the Copenhagen Conference in December 2009 In October 2008 MEPC voted unanimously to approve more stringent marine fuel sulfur limits expanded pollutant Emission Control Areas (ECAs) and marine engine standards These requirements tightened down the existing Annex VI regulations that had been previously adopted In March 2009 the United States and Canada jointly proposed to IMOrsquos MEPC the designation of an ECA for specified portions of the United States and Canadian coastal waters If approved the designation will require all vessels operating within the ECA (whether or not destined for either country) to reduce emissions IAPH World Ports Climate Initiative The principal objective of the IAPH is to develop and foster good relations and cooperation among ports and harbors worldwide by providing a forum to exchange opinions and share experiences on the latest trends of Port management and operations IAPH strives to emphasize and promote the fact that Ports form a vital link in the waterborne transportation of goods and play a vital role in todays global economy IAPH is committed to the protection of environment viewing it as an indispensable element of sustainable economic growth Dr Geraldine Knatz Executive Director of the Port of Los Angeles chairs the IAPH Environmental Committee Recognized as the only international organization representing the voice of the world port industry IAPH is granted Consultative Status as a Non-Governmental Organization (NGO) from five United Nations (UN) specialized agencies and one intergovernmental body

UN Economic and Social Council (ECOSOC) International Maritime Organization (IMO) UN Conference on Trade and Development (UNCTAD) UN Environment Programme (UNEP) International Labour Office (ILO) World Customs Organization (WCO)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 15 October 2009

In July 2008 55 member ports (including the Port) adopted the World Ports Climate Declaration which calls for member and non-member ports to work together through the forum provided by IAPH to address climate change issues One of the key components is for ports to share their best practices and experiences with the worldrsquos ports and various concerned parties One of the focuses of this initiative (one that the Port has volunteered to coordinate) is carbon footprinting associated with Port-related sources (Scopes 1-3) This document provides a broader domain evaluation to help facilitate those discussions and provide context to the greater carbon footprint associated with international goods movement 17 GHG Scopes The 2006 Port-wide GHG emissions are categorized based on the GHG emission scopes as defined under the International Council for Local Environmental Initiatives (ICLEI) Local Government Operations Protocol1 as illustrated in Figure 12 Scope 1 includes all direct GHG emissions from the Portrsquos municipally-controlled stationary and mobile sources Examples of Scope 1 sources include Port-owned fleet vehicles stationary generators and buildings (ie natural gas combustion) Scope 2 consists of indirect GHG emissions associated with the import and consumption of purchased electricity by the Port for its municipally-controlled sources (ie electricity used in Port-owned buildings and operations) Scope 3 emissions include Port tenantsrsquo direct emissions from stationary sources (ie natural gas combustion in buildings) mobile sources (ie ships trucks rail cargo handling equipment and harbor craft) and indirect source emissions associated with purchased electricity (ie buildings electric wharf cranes etc) Scope 3 primarily accounts for emissions associated with the operation of Port tenants Port employee vehicles are also considered under Scope 3 Scope 3 emissions are significantly higher than Scope 1 and 2 emissions In fact within a regional context Scope 3 emissions are greater than 99 percent of total municipally-related GHG emissions As geographical extents are expanded Scope 3 emissions can approach nearly 100 percent of the GHG emissions associated with good movement through a port Although inclusion of Scope 3 emissions in the Portrsquos GHG inventory is not mandatory under the Local Government Operations Protocol the expanded inventory will provide an opportunity for overall understanding quantification and context of GHG emissions associated with goods movement operations In addition since the Port has the most comprehensive data sets associated with Port tenant operations it presents the Port with the opportunity to make higher resolution estimates of its related Scope 3 emissions

1 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emissions inventories Version 10 CARB September 25 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 16 October 2009

Figure 12 2006 Port-wide GHG Emission Scopes

As in the annual emissions inventories the Port publishes this report catalogues Scope 3 emissions that are directly related to the Port specifically focusing on ship truck and train emissions outside of the SoCAB This report significantly broadens the geographical extent of the existing inventory domains as described below in the document 18 Existing Port Inventories

The Port has developed two inventories covering all three emission source Scopes Tenantsrsquo non-road mobile operational emissions have been quantified annually starting in 2001 focusing on Scope 3 mobile emissions sources Also starting in 2006 the Port started to quantify Scope 1 and 2 emissions (excluding Port tenantrsquos emissions) as part of its joining the California Climate Action Registry (CCAR)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 17 October 2009

Scope 3 - Annual Tenant Mobile Operations Inventories The Port began developing inventories for calendar year 2001 with annual updates beginning with the 2005 inventory It is currently conducting the 2008 inventory effort These inventories maximize the use of real and local data to minimize activity assumptions They involve intensive data collection efforts that include support from the Port tenants the Southern California Marine Exchange and numerous other sources The inventories are coordinated with and reviewed by CARB SCAQMD and EPA to ensure estimating methods are consistent with the latest acceptable practices Through this process the Port the tenants and the regulatory agencies are better informed on the activities and emissions associated with goods movement These annual inventories focus on Scope 3 emission categories including

Ocean-Going Vessels (OGVs) Harbor Craft (HC) Cargo Handling Equipment (CHE) Heavy-Duty Vehicles (HDVs) Rail Locomotives (RL)

The geographical domain for these source categories is regional and described fully in Section 19 below

In 2001 and 2005 emission estimates were focused on diesel particulate matter (DPM) particulate matter less than 25 and 10 microns (PM25 amp PM10) oxides of nitrogen oxides (NOx) of sulfur (SOx) carbon monoxide (CO) and hydrocarbons Starting with the 2006 inventories greenhouse gases were included into the suite of pollutants evaluated due to the rising interest in climate change Greenhouse gases that are included are CO2 CH4 and N2O which are rolled up into CO2 equivalents (CO2E)

Scopes 1 amp 2 ndash California Climate Action Registry Inventory The Port joined the CCAR in 2006 and as part of that commitment the Port submits annual inventories that cover Scope 1 and 2 emissions The CCAR inventories include the following emission sources

Scope 1 The Portrsquos municipal stationary sources (buildings stationary generators) and municipal mobile sources (on-road and non-road fleet vehicles)

Scope 2 The Portrsquos municipal electricity imports Emissions are estimated and submitted to the CCAR for public posting The geographical extent is limited to the Portrsquos municipally-controlled property

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 16: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 11 October 2009

GHGs are gases present in the earths atmosphere that reduce the loss of heat into space GHGs primarily include water vapor carbon dioxide (CO2) methane (CH4) nitrous oxide (N2O) and certain fluorinated gases used in commercial and industrial applications GHGs affect climate as they concentrate in the Earthrsquos atmosphere and trap heat by blocking some of the long-wave energy normally radiated back into space While some GHGs occur naturally there is widespread agreement among climate scientists worldwide that human activity is increasing the GHGs in the Earthrsquos atmosphere and accelerating global warming and the accompanying changes in climate patterns that accompany it Activities that release GHGs into the air include those that occur in and around a port setting such as the burning of fossil fuels for industrial operations transportation heating and electricity The potential consequences of global warming to Los Angeles include longer and hotter summers longer droughts more devastating wildfires and shortages of public water all of which threaten public health and the economy 15 The Bigger Picture Goods Movement amp Climate Change Traditionally air quality efforts in Southern California and the United States have focused on pollutants that impact the local or regional populations With respect to climate change emissions released anywhere along the goods movement logistic chains can have a negative impact on GHG concentrations globally meaning itrsquos not just a local concern When estimating the Port-related GHG emissions from goods movement activities that pass directly through Port the expanded geographical domain of those activities brings into focus a significant source that is not accounted for in local or regional inventories

This is particularly acute in Ocean-going Vessel (OGV) inventories For example when looking at the emissions covered in the existing Port tenantsrsquo inventories only the local energy demand of ships calling on the Port is estimated In this local domain the ship is typically transitioning from sea speed to maneuvering speeds and operations at-berth (when the propulsion engines are off) The same activities are evaluated on the Asian side as a local concern of the people there However the significant majority of a vesselrsquos energy demand (which is directly related to emissions) occurs during the trans-Pacific leg (international) and is not included in the local inventories It is during this international phase that the shiprsquos energy demand is at its highest because the propulsion engine(s) is operating at its highest level and transiting time is significantly longer than the shiprsquos time at berth This is illustrated in Figure 11

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 12 October 2009

0

5

10

15

20

25

30

35

40

45

Ene

rgy

Dem

and

(MW

)

Energy (MW) 2 5 7 4 2

Ber

th

Men

uv -

Dep

art

PZM

enuv

-Ar

riva

lB

erth

LA

LocalInternationalLocal

41

Trans Pacific

Tran

s

18

Tran

s

17

Figure 11 Energy Demand Example Trans Pacific Transit from Shanghai to Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 13 October 2009

This study represents the first detailed Port-related evaluation of GHG emission levels from ships arriving and departing from their previous and next port respectfully The results of this study can be used to frame further carbon footprinting discussions on domain and sources contributions associated with ports

16 Climate Change Regulations amp Initiatives California has been the leading the nation in developing a regulatory mechanism to respond to the threat of climate change The California Global Warming Solutions Act of 2006 is the first comprehensive climate change regulation in the United States Internationally the International Maritime Organization (IMO) is currently working on greenhouse gas indexing of ships and potential engine and fuel standards targeting these pollutants Also on the international front the International Association of Ports and Harbors (IAPH) board recently signed the World Ports Climate Initiative (WPCI) The IAPH environmental subcommittee held its first symposium in Los Angeles in November 2008 in support of the WPCI and to start work on the initiatives associated with the WPCI More on these initiatives are provided below

The California Global Warming Solutions Act ndash Assembly Bill 32 Assembly Bill 32 (AB 32) the California Global Warming Solutions Act of 2006 establishes a first-in-the world comprehensive program requiring the CARB to develop regulatory and market mechanisms that will ultimately reduce GHG emissions to 1990 levels by the year 2020 and reduce emissions to 80 percent below 1990 levels by 2050 Mandatory caps will begin in 2012 for significant sources and ratchet down to meet the 2020 goals In the interim CARB will begin to measure the GHG emissions of industries determined to be significant sources In December 2008 CARB approved a Climate Change Scoping Plan to achieve the reductions in GHG emissions mandated in AB 32 The AB 32 Scoping Plan contains the main strategies that California will use to reduce GHG emissions Several of these measures are targeted at goods movement including Port-related goods movement and are expected to achieve a combined 37 million metric tons of carbon dioxide equivalent Proposed goods movement measures in the Scoping Plan include

T-5 Ship electrification at ports (previously adopted as regulation in December

2007) T-6 Goods movement efficiency measures

CARB has set guidelines on emission sources or ldquoScopesrdquo which ports and port tenants should include in determining their carbon footprint as well as the geographical domain for the State of California These guidelines are discussed further in Section 17

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 14 October 2009

IMO Greenhouse Gases Initiatives IMOrsquos Maritime Environmental Protection Committee (MEPC) is currently working on developing ldquocoherent and comprehensive future IMO regulatory framework on GHG emissions from shipsrdquo This regulatory framework is scheduled to be presented at the Copenhagen Conference in December 2009 In October 2008 MEPC voted unanimously to approve more stringent marine fuel sulfur limits expanded pollutant Emission Control Areas (ECAs) and marine engine standards These requirements tightened down the existing Annex VI regulations that had been previously adopted In March 2009 the United States and Canada jointly proposed to IMOrsquos MEPC the designation of an ECA for specified portions of the United States and Canadian coastal waters If approved the designation will require all vessels operating within the ECA (whether or not destined for either country) to reduce emissions IAPH World Ports Climate Initiative The principal objective of the IAPH is to develop and foster good relations and cooperation among ports and harbors worldwide by providing a forum to exchange opinions and share experiences on the latest trends of Port management and operations IAPH strives to emphasize and promote the fact that Ports form a vital link in the waterborne transportation of goods and play a vital role in todays global economy IAPH is committed to the protection of environment viewing it as an indispensable element of sustainable economic growth Dr Geraldine Knatz Executive Director of the Port of Los Angeles chairs the IAPH Environmental Committee Recognized as the only international organization representing the voice of the world port industry IAPH is granted Consultative Status as a Non-Governmental Organization (NGO) from five United Nations (UN) specialized agencies and one intergovernmental body

UN Economic and Social Council (ECOSOC) International Maritime Organization (IMO) UN Conference on Trade and Development (UNCTAD) UN Environment Programme (UNEP) International Labour Office (ILO) World Customs Organization (WCO)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 15 October 2009

In July 2008 55 member ports (including the Port) adopted the World Ports Climate Declaration which calls for member and non-member ports to work together through the forum provided by IAPH to address climate change issues One of the key components is for ports to share their best practices and experiences with the worldrsquos ports and various concerned parties One of the focuses of this initiative (one that the Port has volunteered to coordinate) is carbon footprinting associated with Port-related sources (Scopes 1-3) This document provides a broader domain evaluation to help facilitate those discussions and provide context to the greater carbon footprint associated with international goods movement 17 GHG Scopes The 2006 Port-wide GHG emissions are categorized based on the GHG emission scopes as defined under the International Council for Local Environmental Initiatives (ICLEI) Local Government Operations Protocol1 as illustrated in Figure 12 Scope 1 includes all direct GHG emissions from the Portrsquos municipally-controlled stationary and mobile sources Examples of Scope 1 sources include Port-owned fleet vehicles stationary generators and buildings (ie natural gas combustion) Scope 2 consists of indirect GHG emissions associated with the import and consumption of purchased electricity by the Port for its municipally-controlled sources (ie electricity used in Port-owned buildings and operations) Scope 3 emissions include Port tenantsrsquo direct emissions from stationary sources (ie natural gas combustion in buildings) mobile sources (ie ships trucks rail cargo handling equipment and harbor craft) and indirect source emissions associated with purchased electricity (ie buildings electric wharf cranes etc) Scope 3 primarily accounts for emissions associated with the operation of Port tenants Port employee vehicles are also considered under Scope 3 Scope 3 emissions are significantly higher than Scope 1 and 2 emissions In fact within a regional context Scope 3 emissions are greater than 99 percent of total municipally-related GHG emissions As geographical extents are expanded Scope 3 emissions can approach nearly 100 percent of the GHG emissions associated with good movement through a port Although inclusion of Scope 3 emissions in the Portrsquos GHG inventory is not mandatory under the Local Government Operations Protocol the expanded inventory will provide an opportunity for overall understanding quantification and context of GHG emissions associated with goods movement operations In addition since the Port has the most comprehensive data sets associated with Port tenant operations it presents the Port with the opportunity to make higher resolution estimates of its related Scope 3 emissions

1 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emissions inventories Version 10 CARB September 25 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 16 October 2009

Figure 12 2006 Port-wide GHG Emission Scopes

As in the annual emissions inventories the Port publishes this report catalogues Scope 3 emissions that are directly related to the Port specifically focusing on ship truck and train emissions outside of the SoCAB This report significantly broadens the geographical extent of the existing inventory domains as described below in the document 18 Existing Port Inventories

The Port has developed two inventories covering all three emission source Scopes Tenantsrsquo non-road mobile operational emissions have been quantified annually starting in 2001 focusing on Scope 3 mobile emissions sources Also starting in 2006 the Port started to quantify Scope 1 and 2 emissions (excluding Port tenantrsquos emissions) as part of its joining the California Climate Action Registry (CCAR)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 17 October 2009

Scope 3 - Annual Tenant Mobile Operations Inventories The Port began developing inventories for calendar year 2001 with annual updates beginning with the 2005 inventory It is currently conducting the 2008 inventory effort These inventories maximize the use of real and local data to minimize activity assumptions They involve intensive data collection efforts that include support from the Port tenants the Southern California Marine Exchange and numerous other sources The inventories are coordinated with and reviewed by CARB SCAQMD and EPA to ensure estimating methods are consistent with the latest acceptable practices Through this process the Port the tenants and the regulatory agencies are better informed on the activities and emissions associated with goods movement These annual inventories focus on Scope 3 emission categories including

Ocean-Going Vessels (OGVs) Harbor Craft (HC) Cargo Handling Equipment (CHE) Heavy-Duty Vehicles (HDVs) Rail Locomotives (RL)

The geographical domain for these source categories is regional and described fully in Section 19 below

In 2001 and 2005 emission estimates were focused on diesel particulate matter (DPM) particulate matter less than 25 and 10 microns (PM25 amp PM10) oxides of nitrogen oxides (NOx) of sulfur (SOx) carbon monoxide (CO) and hydrocarbons Starting with the 2006 inventories greenhouse gases were included into the suite of pollutants evaluated due to the rising interest in climate change Greenhouse gases that are included are CO2 CH4 and N2O which are rolled up into CO2 equivalents (CO2E)

Scopes 1 amp 2 ndash California Climate Action Registry Inventory The Port joined the CCAR in 2006 and as part of that commitment the Port submits annual inventories that cover Scope 1 and 2 emissions The CCAR inventories include the following emission sources

Scope 1 The Portrsquos municipal stationary sources (buildings stationary generators) and municipal mobile sources (on-road and non-road fleet vehicles)

Scope 2 The Portrsquos municipal electricity imports Emissions are estimated and submitted to the CCAR for public posting The geographical extent is limited to the Portrsquos municipally-controlled property

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 17: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 12 October 2009

0

5

10

15

20

25

30

35

40

45

Ene

rgy

Dem

and

(MW

)

Energy (MW) 2 5 7 4 2

Ber

th

Men

uv -

Dep

art

PZM

enuv

-Ar

riva

lB

erth

LA

LocalInternationalLocal

41

Trans Pacific

Tran

s

18

Tran

s

17

Figure 11 Energy Demand Example Trans Pacific Transit from Shanghai to Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 13 October 2009

This study represents the first detailed Port-related evaluation of GHG emission levels from ships arriving and departing from their previous and next port respectfully The results of this study can be used to frame further carbon footprinting discussions on domain and sources contributions associated with ports

16 Climate Change Regulations amp Initiatives California has been the leading the nation in developing a regulatory mechanism to respond to the threat of climate change The California Global Warming Solutions Act of 2006 is the first comprehensive climate change regulation in the United States Internationally the International Maritime Organization (IMO) is currently working on greenhouse gas indexing of ships and potential engine and fuel standards targeting these pollutants Also on the international front the International Association of Ports and Harbors (IAPH) board recently signed the World Ports Climate Initiative (WPCI) The IAPH environmental subcommittee held its first symposium in Los Angeles in November 2008 in support of the WPCI and to start work on the initiatives associated with the WPCI More on these initiatives are provided below

The California Global Warming Solutions Act ndash Assembly Bill 32 Assembly Bill 32 (AB 32) the California Global Warming Solutions Act of 2006 establishes a first-in-the world comprehensive program requiring the CARB to develop regulatory and market mechanisms that will ultimately reduce GHG emissions to 1990 levels by the year 2020 and reduce emissions to 80 percent below 1990 levels by 2050 Mandatory caps will begin in 2012 for significant sources and ratchet down to meet the 2020 goals In the interim CARB will begin to measure the GHG emissions of industries determined to be significant sources In December 2008 CARB approved a Climate Change Scoping Plan to achieve the reductions in GHG emissions mandated in AB 32 The AB 32 Scoping Plan contains the main strategies that California will use to reduce GHG emissions Several of these measures are targeted at goods movement including Port-related goods movement and are expected to achieve a combined 37 million metric tons of carbon dioxide equivalent Proposed goods movement measures in the Scoping Plan include

T-5 Ship electrification at ports (previously adopted as regulation in December

2007) T-6 Goods movement efficiency measures

CARB has set guidelines on emission sources or ldquoScopesrdquo which ports and port tenants should include in determining their carbon footprint as well as the geographical domain for the State of California These guidelines are discussed further in Section 17

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 14 October 2009

IMO Greenhouse Gases Initiatives IMOrsquos Maritime Environmental Protection Committee (MEPC) is currently working on developing ldquocoherent and comprehensive future IMO regulatory framework on GHG emissions from shipsrdquo This regulatory framework is scheduled to be presented at the Copenhagen Conference in December 2009 In October 2008 MEPC voted unanimously to approve more stringent marine fuel sulfur limits expanded pollutant Emission Control Areas (ECAs) and marine engine standards These requirements tightened down the existing Annex VI regulations that had been previously adopted In March 2009 the United States and Canada jointly proposed to IMOrsquos MEPC the designation of an ECA for specified portions of the United States and Canadian coastal waters If approved the designation will require all vessels operating within the ECA (whether or not destined for either country) to reduce emissions IAPH World Ports Climate Initiative The principal objective of the IAPH is to develop and foster good relations and cooperation among ports and harbors worldwide by providing a forum to exchange opinions and share experiences on the latest trends of Port management and operations IAPH strives to emphasize and promote the fact that Ports form a vital link in the waterborne transportation of goods and play a vital role in todays global economy IAPH is committed to the protection of environment viewing it as an indispensable element of sustainable economic growth Dr Geraldine Knatz Executive Director of the Port of Los Angeles chairs the IAPH Environmental Committee Recognized as the only international organization representing the voice of the world port industry IAPH is granted Consultative Status as a Non-Governmental Organization (NGO) from five United Nations (UN) specialized agencies and one intergovernmental body

UN Economic and Social Council (ECOSOC) International Maritime Organization (IMO) UN Conference on Trade and Development (UNCTAD) UN Environment Programme (UNEP) International Labour Office (ILO) World Customs Organization (WCO)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 15 October 2009

In July 2008 55 member ports (including the Port) adopted the World Ports Climate Declaration which calls for member and non-member ports to work together through the forum provided by IAPH to address climate change issues One of the key components is for ports to share their best practices and experiences with the worldrsquos ports and various concerned parties One of the focuses of this initiative (one that the Port has volunteered to coordinate) is carbon footprinting associated with Port-related sources (Scopes 1-3) This document provides a broader domain evaluation to help facilitate those discussions and provide context to the greater carbon footprint associated with international goods movement 17 GHG Scopes The 2006 Port-wide GHG emissions are categorized based on the GHG emission scopes as defined under the International Council for Local Environmental Initiatives (ICLEI) Local Government Operations Protocol1 as illustrated in Figure 12 Scope 1 includes all direct GHG emissions from the Portrsquos municipally-controlled stationary and mobile sources Examples of Scope 1 sources include Port-owned fleet vehicles stationary generators and buildings (ie natural gas combustion) Scope 2 consists of indirect GHG emissions associated with the import and consumption of purchased electricity by the Port for its municipally-controlled sources (ie electricity used in Port-owned buildings and operations) Scope 3 emissions include Port tenantsrsquo direct emissions from stationary sources (ie natural gas combustion in buildings) mobile sources (ie ships trucks rail cargo handling equipment and harbor craft) and indirect source emissions associated with purchased electricity (ie buildings electric wharf cranes etc) Scope 3 primarily accounts for emissions associated with the operation of Port tenants Port employee vehicles are also considered under Scope 3 Scope 3 emissions are significantly higher than Scope 1 and 2 emissions In fact within a regional context Scope 3 emissions are greater than 99 percent of total municipally-related GHG emissions As geographical extents are expanded Scope 3 emissions can approach nearly 100 percent of the GHG emissions associated with good movement through a port Although inclusion of Scope 3 emissions in the Portrsquos GHG inventory is not mandatory under the Local Government Operations Protocol the expanded inventory will provide an opportunity for overall understanding quantification and context of GHG emissions associated with goods movement operations In addition since the Port has the most comprehensive data sets associated with Port tenant operations it presents the Port with the opportunity to make higher resolution estimates of its related Scope 3 emissions

1 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emissions inventories Version 10 CARB September 25 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 16 October 2009

Figure 12 2006 Port-wide GHG Emission Scopes

As in the annual emissions inventories the Port publishes this report catalogues Scope 3 emissions that are directly related to the Port specifically focusing on ship truck and train emissions outside of the SoCAB This report significantly broadens the geographical extent of the existing inventory domains as described below in the document 18 Existing Port Inventories

The Port has developed two inventories covering all three emission source Scopes Tenantsrsquo non-road mobile operational emissions have been quantified annually starting in 2001 focusing on Scope 3 mobile emissions sources Also starting in 2006 the Port started to quantify Scope 1 and 2 emissions (excluding Port tenantrsquos emissions) as part of its joining the California Climate Action Registry (CCAR)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 17 October 2009

Scope 3 - Annual Tenant Mobile Operations Inventories The Port began developing inventories for calendar year 2001 with annual updates beginning with the 2005 inventory It is currently conducting the 2008 inventory effort These inventories maximize the use of real and local data to minimize activity assumptions They involve intensive data collection efforts that include support from the Port tenants the Southern California Marine Exchange and numerous other sources The inventories are coordinated with and reviewed by CARB SCAQMD and EPA to ensure estimating methods are consistent with the latest acceptable practices Through this process the Port the tenants and the regulatory agencies are better informed on the activities and emissions associated with goods movement These annual inventories focus on Scope 3 emission categories including

Ocean-Going Vessels (OGVs) Harbor Craft (HC) Cargo Handling Equipment (CHE) Heavy-Duty Vehicles (HDVs) Rail Locomotives (RL)

The geographical domain for these source categories is regional and described fully in Section 19 below

In 2001 and 2005 emission estimates were focused on diesel particulate matter (DPM) particulate matter less than 25 and 10 microns (PM25 amp PM10) oxides of nitrogen oxides (NOx) of sulfur (SOx) carbon monoxide (CO) and hydrocarbons Starting with the 2006 inventories greenhouse gases were included into the suite of pollutants evaluated due to the rising interest in climate change Greenhouse gases that are included are CO2 CH4 and N2O which are rolled up into CO2 equivalents (CO2E)

Scopes 1 amp 2 ndash California Climate Action Registry Inventory The Port joined the CCAR in 2006 and as part of that commitment the Port submits annual inventories that cover Scope 1 and 2 emissions The CCAR inventories include the following emission sources

Scope 1 The Portrsquos municipal stationary sources (buildings stationary generators) and municipal mobile sources (on-road and non-road fleet vehicles)

Scope 2 The Portrsquos municipal electricity imports Emissions are estimated and submitted to the CCAR for public posting The geographical extent is limited to the Portrsquos municipally-controlled property

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 18: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 13 October 2009

This study represents the first detailed Port-related evaluation of GHG emission levels from ships arriving and departing from their previous and next port respectfully The results of this study can be used to frame further carbon footprinting discussions on domain and sources contributions associated with ports

16 Climate Change Regulations amp Initiatives California has been the leading the nation in developing a regulatory mechanism to respond to the threat of climate change The California Global Warming Solutions Act of 2006 is the first comprehensive climate change regulation in the United States Internationally the International Maritime Organization (IMO) is currently working on greenhouse gas indexing of ships and potential engine and fuel standards targeting these pollutants Also on the international front the International Association of Ports and Harbors (IAPH) board recently signed the World Ports Climate Initiative (WPCI) The IAPH environmental subcommittee held its first symposium in Los Angeles in November 2008 in support of the WPCI and to start work on the initiatives associated with the WPCI More on these initiatives are provided below

The California Global Warming Solutions Act ndash Assembly Bill 32 Assembly Bill 32 (AB 32) the California Global Warming Solutions Act of 2006 establishes a first-in-the world comprehensive program requiring the CARB to develop regulatory and market mechanisms that will ultimately reduce GHG emissions to 1990 levels by the year 2020 and reduce emissions to 80 percent below 1990 levels by 2050 Mandatory caps will begin in 2012 for significant sources and ratchet down to meet the 2020 goals In the interim CARB will begin to measure the GHG emissions of industries determined to be significant sources In December 2008 CARB approved a Climate Change Scoping Plan to achieve the reductions in GHG emissions mandated in AB 32 The AB 32 Scoping Plan contains the main strategies that California will use to reduce GHG emissions Several of these measures are targeted at goods movement including Port-related goods movement and are expected to achieve a combined 37 million metric tons of carbon dioxide equivalent Proposed goods movement measures in the Scoping Plan include

T-5 Ship electrification at ports (previously adopted as regulation in December

2007) T-6 Goods movement efficiency measures

CARB has set guidelines on emission sources or ldquoScopesrdquo which ports and port tenants should include in determining their carbon footprint as well as the geographical domain for the State of California These guidelines are discussed further in Section 17

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 14 October 2009

IMO Greenhouse Gases Initiatives IMOrsquos Maritime Environmental Protection Committee (MEPC) is currently working on developing ldquocoherent and comprehensive future IMO regulatory framework on GHG emissions from shipsrdquo This regulatory framework is scheduled to be presented at the Copenhagen Conference in December 2009 In October 2008 MEPC voted unanimously to approve more stringent marine fuel sulfur limits expanded pollutant Emission Control Areas (ECAs) and marine engine standards These requirements tightened down the existing Annex VI regulations that had been previously adopted In March 2009 the United States and Canada jointly proposed to IMOrsquos MEPC the designation of an ECA for specified portions of the United States and Canadian coastal waters If approved the designation will require all vessels operating within the ECA (whether or not destined for either country) to reduce emissions IAPH World Ports Climate Initiative The principal objective of the IAPH is to develop and foster good relations and cooperation among ports and harbors worldwide by providing a forum to exchange opinions and share experiences on the latest trends of Port management and operations IAPH strives to emphasize and promote the fact that Ports form a vital link in the waterborne transportation of goods and play a vital role in todays global economy IAPH is committed to the protection of environment viewing it as an indispensable element of sustainable economic growth Dr Geraldine Knatz Executive Director of the Port of Los Angeles chairs the IAPH Environmental Committee Recognized as the only international organization representing the voice of the world port industry IAPH is granted Consultative Status as a Non-Governmental Organization (NGO) from five United Nations (UN) specialized agencies and one intergovernmental body

UN Economic and Social Council (ECOSOC) International Maritime Organization (IMO) UN Conference on Trade and Development (UNCTAD) UN Environment Programme (UNEP) International Labour Office (ILO) World Customs Organization (WCO)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 15 October 2009

In July 2008 55 member ports (including the Port) adopted the World Ports Climate Declaration which calls for member and non-member ports to work together through the forum provided by IAPH to address climate change issues One of the key components is for ports to share their best practices and experiences with the worldrsquos ports and various concerned parties One of the focuses of this initiative (one that the Port has volunteered to coordinate) is carbon footprinting associated with Port-related sources (Scopes 1-3) This document provides a broader domain evaluation to help facilitate those discussions and provide context to the greater carbon footprint associated with international goods movement 17 GHG Scopes The 2006 Port-wide GHG emissions are categorized based on the GHG emission scopes as defined under the International Council for Local Environmental Initiatives (ICLEI) Local Government Operations Protocol1 as illustrated in Figure 12 Scope 1 includes all direct GHG emissions from the Portrsquos municipally-controlled stationary and mobile sources Examples of Scope 1 sources include Port-owned fleet vehicles stationary generators and buildings (ie natural gas combustion) Scope 2 consists of indirect GHG emissions associated with the import and consumption of purchased electricity by the Port for its municipally-controlled sources (ie electricity used in Port-owned buildings and operations) Scope 3 emissions include Port tenantsrsquo direct emissions from stationary sources (ie natural gas combustion in buildings) mobile sources (ie ships trucks rail cargo handling equipment and harbor craft) and indirect source emissions associated with purchased electricity (ie buildings electric wharf cranes etc) Scope 3 primarily accounts for emissions associated with the operation of Port tenants Port employee vehicles are also considered under Scope 3 Scope 3 emissions are significantly higher than Scope 1 and 2 emissions In fact within a regional context Scope 3 emissions are greater than 99 percent of total municipally-related GHG emissions As geographical extents are expanded Scope 3 emissions can approach nearly 100 percent of the GHG emissions associated with good movement through a port Although inclusion of Scope 3 emissions in the Portrsquos GHG inventory is not mandatory under the Local Government Operations Protocol the expanded inventory will provide an opportunity for overall understanding quantification and context of GHG emissions associated with goods movement operations In addition since the Port has the most comprehensive data sets associated with Port tenant operations it presents the Port with the opportunity to make higher resolution estimates of its related Scope 3 emissions

1 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emissions inventories Version 10 CARB September 25 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 16 October 2009

Figure 12 2006 Port-wide GHG Emission Scopes

As in the annual emissions inventories the Port publishes this report catalogues Scope 3 emissions that are directly related to the Port specifically focusing on ship truck and train emissions outside of the SoCAB This report significantly broadens the geographical extent of the existing inventory domains as described below in the document 18 Existing Port Inventories

The Port has developed two inventories covering all three emission source Scopes Tenantsrsquo non-road mobile operational emissions have been quantified annually starting in 2001 focusing on Scope 3 mobile emissions sources Also starting in 2006 the Port started to quantify Scope 1 and 2 emissions (excluding Port tenantrsquos emissions) as part of its joining the California Climate Action Registry (CCAR)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 17 October 2009

Scope 3 - Annual Tenant Mobile Operations Inventories The Port began developing inventories for calendar year 2001 with annual updates beginning with the 2005 inventory It is currently conducting the 2008 inventory effort These inventories maximize the use of real and local data to minimize activity assumptions They involve intensive data collection efforts that include support from the Port tenants the Southern California Marine Exchange and numerous other sources The inventories are coordinated with and reviewed by CARB SCAQMD and EPA to ensure estimating methods are consistent with the latest acceptable practices Through this process the Port the tenants and the regulatory agencies are better informed on the activities and emissions associated with goods movement These annual inventories focus on Scope 3 emission categories including

Ocean-Going Vessels (OGVs) Harbor Craft (HC) Cargo Handling Equipment (CHE) Heavy-Duty Vehicles (HDVs) Rail Locomotives (RL)

The geographical domain for these source categories is regional and described fully in Section 19 below

In 2001 and 2005 emission estimates were focused on diesel particulate matter (DPM) particulate matter less than 25 and 10 microns (PM25 amp PM10) oxides of nitrogen oxides (NOx) of sulfur (SOx) carbon monoxide (CO) and hydrocarbons Starting with the 2006 inventories greenhouse gases were included into the suite of pollutants evaluated due to the rising interest in climate change Greenhouse gases that are included are CO2 CH4 and N2O which are rolled up into CO2 equivalents (CO2E)

Scopes 1 amp 2 ndash California Climate Action Registry Inventory The Port joined the CCAR in 2006 and as part of that commitment the Port submits annual inventories that cover Scope 1 and 2 emissions The CCAR inventories include the following emission sources

Scope 1 The Portrsquos municipal stationary sources (buildings stationary generators) and municipal mobile sources (on-road and non-road fleet vehicles)

Scope 2 The Portrsquos municipal electricity imports Emissions are estimated and submitted to the CCAR for public posting The geographical extent is limited to the Portrsquos municipally-controlled property

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 19: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 14 October 2009

IMO Greenhouse Gases Initiatives IMOrsquos Maritime Environmental Protection Committee (MEPC) is currently working on developing ldquocoherent and comprehensive future IMO regulatory framework on GHG emissions from shipsrdquo This regulatory framework is scheduled to be presented at the Copenhagen Conference in December 2009 In October 2008 MEPC voted unanimously to approve more stringent marine fuel sulfur limits expanded pollutant Emission Control Areas (ECAs) and marine engine standards These requirements tightened down the existing Annex VI regulations that had been previously adopted In March 2009 the United States and Canada jointly proposed to IMOrsquos MEPC the designation of an ECA for specified portions of the United States and Canadian coastal waters If approved the designation will require all vessels operating within the ECA (whether or not destined for either country) to reduce emissions IAPH World Ports Climate Initiative The principal objective of the IAPH is to develop and foster good relations and cooperation among ports and harbors worldwide by providing a forum to exchange opinions and share experiences on the latest trends of Port management and operations IAPH strives to emphasize and promote the fact that Ports form a vital link in the waterborne transportation of goods and play a vital role in todays global economy IAPH is committed to the protection of environment viewing it as an indispensable element of sustainable economic growth Dr Geraldine Knatz Executive Director of the Port of Los Angeles chairs the IAPH Environmental Committee Recognized as the only international organization representing the voice of the world port industry IAPH is granted Consultative Status as a Non-Governmental Organization (NGO) from five United Nations (UN) specialized agencies and one intergovernmental body

UN Economic and Social Council (ECOSOC) International Maritime Organization (IMO) UN Conference on Trade and Development (UNCTAD) UN Environment Programme (UNEP) International Labour Office (ILO) World Customs Organization (WCO)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 15 October 2009

In July 2008 55 member ports (including the Port) adopted the World Ports Climate Declaration which calls for member and non-member ports to work together through the forum provided by IAPH to address climate change issues One of the key components is for ports to share their best practices and experiences with the worldrsquos ports and various concerned parties One of the focuses of this initiative (one that the Port has volunteered to coordinate) is carbon footprinting associated with Port-related sources (Scopes 1-3) This document provides a broader domain evaluation to help facilitate those discussions and provide context to the greater carbon footprint associated with international goods movement 17 GHG Scopes The 2006 Port-wide GHG emissions are categorized based on the GHG emission scopes as defined under the International Council for Local Environmental Initiatives (ICLEI) Local Government Operations Protocol1 as illustrated in Figure 12 Scope 1 includes all direct GHG emissions from the Portrsquos municipally-controlled stationary and mobile sources Examples of Scope 1 sources include Port-owned fleet vehicles stationary generators and buildings (ie natural gas combustion) Scope 2 consists of indirect GHG emissions associated with the import and consumption of purchased electricity by the Port for its municipally-controlled sources (ie electricity used in Port-owned buildings and operations) Scope 3 emissions include Port tenantsrsquo direct emissions from stationary sources (ie natural gas combustion in buildings) mobile sources (ie ships trucks rail cargo handling equipment and harbor craft) and indirect source emissions associated with purchased electricity (ie buildings electric wharf cranes etc) Scope 3 primarily accounts for emissions associated with the operation of Port tenants Port employee vehicles are also considered under Scope 3 Scope 3 emissions are significantly higher than Scope 1 and 2 emissions In fact within a regional context Scope 3 emissions are greater than 99 percent of total municipally-related GHG emissions As geographical extents are expanded Scope 3 emissions can approach nearly 100 percent of the GHG emissions associated with good movement through a port Although inclusion of Scope 3 emissions in the Portrsquos GHG inventory is not mandatory under the Local Government Operations Protocol the expanded inventory will provide an opportunity for overall understanding quantification and context of GHG emissions associated with goods movement operations In addition since the Port has the most comprehensive data sets associated with Port tenant operations it presents the Port with the opportunity to make higher resolution estimates of its related Scope 3 emissions

1 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emissions inventories Version 10 CARB September 25 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 16 October 2009

Figure 12 2006 Port-wide GHG Emission Scopes

As in the annual emissions inventories the Port publishes this report catalogues Scope 3 emissions that are directly related to the Port specifically focusing on ship truck and train emissions outside of the SoCAB This report significantly broadens the geographical extent of the existing inventory domains as described below in the document 18 Existing Port Inventories

The Port has developed two inventories covering all three emission source Scopes Tenantsrsquo non-road mobile operational emissions have been quantified annually starting in 2001 focusing on Scope 3 mobile emissions sources Also starting in 2006 the Port started to quantify Scope 1 and 2 emissions (excluding Port tenantrsquos emissions) as part of its joining the California Climate Action Registry (CCAR)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 17 October 2009

Scope 3 - Annual Tenant Mobile Operations Inventories The Port began developing inventories for calendar year 2001 with annual updates beginning with the 2005 inventory It is currently conducting the 2008 inventory effort These inventories maximize the use of real and local data to minimize activity assumptions They involve intensive data collection efforts that include support from the Port tenants the Southern California Marine Exchange and numerous other sources The inventories are coordinated with and reviewed by CARB SCAQMD and EPA to ensure estimating methods are consistent with the latest acceptable practices Through this process the Port the tenants and the regulatory agencies are better informed on the activities and emissions associated with goods movement These annual inventories focus on Scope 3 emission categories including

Ocean-Going Vessels (OGVs) Harbor Craft (HC) Cargo Handling Equipment (CHE) Heavy-Duty Vehicles (HDVs) Rail Locomotives (RL)

The geographical domain for these source categories is regional and described fully in Section 19 below

In 2001 and 2005 emission estimates were focused on diesel particulate matter (DPM) particulate matter less than 25 and 10 microns (PM25 amp PM10) oxides of nitrogen oxides (NOx) of sulfur (SOx) carbon monoxide (CO) and hydrocarbons Starting with the 2006 inventories greenhouse gases were included into the suite of pollutants evaluated due to the rising interest in climate change Greenhouse gases that are included are CO2 CH4 and N2O which are rolled up into CO2 equivalents (CO2E)

Scopes 1 amp 2 ndash California Climate Action Registry Inventory The Port joined the CCAR in 2006 and as part of that commitment the Port submits annual inventories that cover Scope 1 and 2 emissions The CCAR inventories include the following emission sources

Scope 1 The Portrsquos municipal stationary sources (buildings stationary generators) and municipal mobile sources (on-road and non-road fleet vehicles)

Scope 2 The Portrsquos municipal electricity imports Emissions are estimated and submitted to the CCAR for public posting The geographical extent is limited to the Portrsquos municipally-controlled property

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 20: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 15 October 2009

In July 2008 55 member ports (including the Port) adopted the World Ports Climate Declaration which calls for member and non-member ports to work together through the forum provided by IAPH to address climate change issues One of the key components is for ports to share their best practices and experiences with the worldrsquos ports and various concerned parties One of the focuses of this initiative (one that the Port has volunteered to coordinate) is carbon footprinting associated with Port-related sources (Scopes 1-3) This document provides a broader domain evaluation to help facilitate those discussions and provide context to the greater carbon footprint associated with international goods movement 17 GHG Scopes The 2006 Port-wide GHG emissions are categorized based on the GHG emission scopes as defined under the International Council for Local Environmental Initiatives (ICLEI) Local Government Operations Protocol1 as illustrated in Figure 12 Scope 1 includes all direct GHG emissions from the Portrsquos municipally-controlled stationary and mobile sources Examples of Scope 1 sources include Port-owned fleet vehicles stationary generators and buildings (ie natural gas combustion) Scope 2 consists of indirect GHG emissions associated with the import and consumption of purchased electricity by the Port for its municipally-controlled sources (ie electricity used in Port-owned buildings and operations) Scope 3 emissions include Port tenantsrsquo direct emissions from stationary sources (ie natural gas combustion in buildings) mobile sources (ie ships trucks rail cargo handling equipment and harbor craft) and indirect source emissions associated with purchased electricity (ie buildings electric wharf cranes etc) Scope 3 primarily accounts for emissions associated with the operation of Port tenants Port employee vehicles are also considered under Scope 3 Scope 3 emissions are significantly higher than Scope 1 and 2 emissions In fact within a regional context Scope 3 emissions are greater than 99 percent of total municipally-related GHG emissions As geographical extents are expanded Scope 3 emissions can approach nearly 100 percent of the GHG emissions associated with good movement through a port Although inclusion of Scope 3 emissions in the Portrsquos GHG inventory is not mandatory under the Local Government Operations Protocol the expanded inventory will provide an opportunity for overall understanding quantification and context of GHG emissions associated with goods movement operations In addition since the Port has the most comprehensive data sets associated with Port tenant operations it presents the Port with the opportunity to make higher resolution estimates of its related Scope 3 emissions

1 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emissions inventories Version 10 CARB September 25 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 16 October 2009

Figure 12 2006 Port-wide GHG Emission Scopes

As in the annual emissions inventories the Port publishes this report catalogues Scope 3 emissions that are directly related to the Port specifically focusing on ship truck and train emissions outside of the SoCAB This report significantly broadens the geographical extent of the existing inventory domains as described below in the document 18 Existing Port Inventories

The Port has developed two inventories covering all three emission source Scopes Tenantsrsquo non-road mobile operational emissions have been quantified annually starting in 2001 focusing on Scope 3 mobile emissions sources Also starting in 2006 the Port started to quantify Scope 1 and 2 emissions (excluding Port tenantrsquos emissions) as part of its joining the California Climate Action Registry (CCAR)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 17 October 2009

Scope 3 - Annual Tenant Mobile Operations Inventories The Port began developing inventories for calendar year 2001 with annual updates beginning with the 2005 inventory It is currently conducting the 2008 inventory effort These inventories maximize the use of real and local data to minimize activity assumptions They involve intensive data collection efforts that include support from the Port tenants the Southern California Marine Exchange and numerous other sources The inventories are coordinated with and reviewed by CARB SCAQMD and EPA to ensure estimating methods are consistent with the latest acceptable practices Through this process the Port the tenants and the regulatory agencies are better informed on the activities and emissions associated with goods movement These annual inventories focus on Scope 3 emission categories including

Ocean-Going Vessels (OGVs) Harbor Craft (HC) Cargo Handling Equipment (CHE) Heavy-Duty Vehicles (HDVs) Rail Locomotives (RL)

The geographical domain for these source categories is regional and described fully in Section 19 below

In 2001 and 2005 emission estimates were focused on diesel particulate matter (DPM) particulate matter less than 25 and 10 microns (PM25 amp PM10) oxides of nitrogen oxides (NOx) of sulfur (SOx) carbon monoxide (CO) and hydrocarbons Starting with the 2006 inventories greenhouse gases were included into the suite of pollutants evaluated due to the rising interest in climate change Greenhouse gases that are included are CO2 CH4 and N2O which are rolled up into CO2 equivalents (CO2E)

Scopes 1 amp 2 ndash California Climate Action Registry Inventory The Port joined the CCAR in 2006 and as part of that commitment the Port submits annual inventories that cover Scope 1 and 2 emissions The CCAR inventories include the following emission sources

Scope 1 The Portrsquos municipal stationary sources (buildings stationary generators) and municipal mobile sources (on-road and non-road fleet vehicles)

Scope 2 The Portrsquos municipal electricity imports Emissions are estimated and submitted to the CCAR for public posting The geographical extent is limited to the Portrsquos municipally-controlled property

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 21: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 16 October 2009

Figure 12 2006 Port-wide GHG Emission Scopes

As in the annual emissions inventories the Port publishes this report catalogues Scope 3 emissions that are directly related to the Port specifically focusing on ship truck and train emissions outside of the SoCAB This report significantly broadens the geographical extent of the existing inventory domains as described below in the document 18 Existing Port Inventories

The Port has developed two inventories covering all three emission source Scopes Tenantsrsquo non-road mobile operational emissions have been quantified annually starting in 2001 focusing on Scope 3 mobile emissions sources Also starting in 2006 the Port started to quantify Scope 1 and 2 emissions (excluding Port tenantrsquos emissions) as part of its joining the California Climate Action Registry (CCAR)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 17 October 2009

Scope 3 - Annual Tenant Mobile Operations Inventories The Port began developing inventories for calendar year 2001 with annual updates beginning with the 2005 inventory It is currently conducting the 2008 inventory effort These inventories maximize the use of real and local data to minimize activity assumptions They involve intensive data collection efforts that include support from the Port tenants the Southern California Marine Exchange and numerous other sources The inventories are coordinated with and reviewed by CARB SCAQMD and EPA to ensure estimating methods are consistent with the latest acceptable practices Through this process the Port the tenants and the regulatory agencies are better informed on the activities and emissions associated with goods movement These annual inventories focus on Scope 3 emission categories including

Ocean-Going Vessels (OGVs) Harbor Craft (HC) Cargo Handling Equipment (CHE) Heavy-Duty Vehicles (HDVs) Rail Locomotives (RL)

The geographical domain for these source categories is regional and described fully in Section 19 below

In 2001 and 2005 emission estimates were focused on diesel particulate matter (DPM) particulate matter less than 25 and 10 microns (PM25 amp PM10) oxides of nitrogen oxides (NOx) of sulfur (SOx) carbon monoxide (CO) and hydrocarbons Starting with the 2006 inventories greenhouse gases were included into the suite of pollutants evaluated due to the rising interest in climate change Greenhouse gases that are included are CO2 CH4 and N2O which are rolled up into CO2 equivalents (CO2E)

Scopes 1 amp 2 ndash California Climate Action Registry Inventory The Port joined the CCAR in 2006 and as part of that commitment the Port submits annual inventories that cover Scope 1 and 2 emissions The CCAR inventories include the following emission sources

Scope 1 The Portrsquos municipal stationary sources (buildings stationary generators) and municipal mobile sources (on-road and non-road fleet vehicles)

Scope 2 The Portrsquos municipal electricity imports Emissions are estimated and submitted to the CCAR for public posting The geographical extent is limited to the Portrsquos municipally-controlled property

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 22: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 17 October 2009

Scope 3 - Annual Tenant Mobile Operations Inventories The Port began developing inventories for calendar year 2001 with annual updates beginning with the 2005 inventory It is currently conducting the 2008 inventory effort These inventories maximize the use of real and local data to minimize activity assumptions They involve intensive data collection efforts that include support from the Port tenants the Southern California Marine Exchange and numerous other sources The inventories are coordinated with and reviewed by CARB SCAQMD and EPA to ensure estimating methods are consistent with the latest acceptable practices Through this process the Port the tenants and the regulatory agencies are better informed on the activities and emissions associated with goods movement These annual inventories focus on Scope 3 emission categories including

Ocean-Going Vessels (OGVs) Harbor Craft (HC) Cargo Handling Equipment (CHE) Heavy-Duty Vehicles (HDVs) Rail Locomotives (RL)

The geographical domain for these source categories is regional and described fully in Section 19 below

In 2001 and 2005 emission estimates were focused on diesel particulate matter (DPM) particulate matter less than 25 and 10 microns (PM25 amp PM10) oxides of nitrogen oxides (NOx) of sulfur (SOx) carbon monoxide (CO) and hydrocarbons Starting with the 2006 inventories greenhouse gases were included into the suite of pollutants evaluated due to the rising interest in climate change Greenhouse gases that are included are CO2 CH4 and N2O which are rolled up into CO2 equivalents (CO2E)

Scopes 1 amp 2 ndash California Climate Action Registry Inventory The Port joined the CCAR in 2006 and as part of that commitment the Port submits annual inventories that cover Scope 1 and 2 emissions The CCAR inventories include the following emission sources

Scope 1 The Portrsquos municipal stationary sources (buildings stationary generators) and municipal mobile sources (on-road and non-road fleet vehicles)

Scope 2 The Portrsquos municipal electricity imports Emissions are estimated and submitted to the CCAR for public posting The geographical extent is limited to the Portrsquos municipally-controlled property

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 23: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 18 October 2009

In addition to these two 2006 inventories in order to have a more complete picture of Port-wide emissions the Port has also prepared GHG emissions estimates of additional Port-related sources including Port tenants indirect source emissions (ie purchased electricity for buildings electric wharf cranes shore power for ships etc) and direct stationary source emissions (ie natural gas combustion in buildings) as well as Port employee vehicles (ie vehicles operated by employees of the Harbor Department) under Scope 3 These additional GHG emission sources are referenced as the Portrsquos Other Sources For the baseline year 2006 (the first year both inventories were completed for the same year) the following figure presents contribution by source category for the entire regional (ie within the SoCAB see Section 19 below) Port-related emissions

Figure 13 2006 Port Regional CO2E Contributions by Source Category

As shown above tenant mobile stationary and indirect sources make up over 99 of the total Port-related regional GHG emission generation 19 Geographical Extents As part of the implementation of AB 32 CARB has set the ldquoIn-Staterdquo GHG emission domain to include all operations within state borders as well as maritime operations occurring within 24 nautical miles (nm) of the California coastline Scope 3 emissions that occur outside of these boundaries are classified as ldquoOut-of-Staterdquo There are two different

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 24: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 19 October 2009

geographical scales that are represented by the existing inventories and the expanded GHG inventory They are further detailed below Existing Inventories - Regional The annual tenant operations inventories include source category emissions that occur on Port-owned land within the Port boundarydistrict and within SoCAB which is considered a regional domain The geographical extent within this region varies by source type

191 Ocean-Going Vessels amp Harbor Craft The geographical extent for OGVs and commercial harbor craft extend beyond the Portrsquos immediate harbor The portion of the study area outside the Portrsquos breakwater is four-sided with the northern and southern boundaries defined by the South Coast county lines The area continues approximately 70 nm to the California water boundary to the west and is on average 70 nm in width Figure 14 presents the geographical extent of the over water SoCAB boundary area for marine vessels (dark blue box extending from the coast past San Clemente Island) the CARB 24 nm ldquoIn-Staterdquo line running along the entire California coast (light blue) and the major routes into and out of the Port

Figure 14 Maritime Sources Geographical Extent

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 25: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 20 October 2009

It is important to note that the SoCAB inventory domain for marine vessels includes a portion of the CARB ldquoIn-Staterdquo domain but extends well beyond the Port area

192 Heavy-Duty Vehicles amp Rail Locomotives The geographical extent for HDVs or trucks and Class 1 line-haul rail locomotives extends beyond the immediate Port area and includes the entire SoCAB Truck and rail emissions are estimated on Port terminals rail lines rail yards public roadways and public highways within the geographical extent of the annual inventories Figure 15 presents the SoCAB or regional boundary of the existing inventories in orange and the location of the Port within the domain The SoCAB includes all of Los Angeles and Orange Counties and a portion of Riverside and San Bernardino Counties

Figure 15 South Coast Air Basin Regional Boundary

193 Cargo Handling Equipment The geographical extent for CHE is limited locally to the terminals and facilities on which they operate (CHE typically do not leave the terminals and are not registered to drive on public roads) The entire domain of CHE is covered in the annual tenant inventories Figure 16 presents the land area of active Port terminals in 2006

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 26: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 21 October 2009

Figure 16 Port Boundary Study Area

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 27: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 22 October 2009

Expanded GHG Inventory ndash Global amp National For the expanded GHG inventory domain those sources that continue operations outside the existing regional inventory domain were quantified on a global andor national level These included OGVs HDVs and line-haul locomotives The geographical extent for these three source categories are detailed below

194 Ocean-Going Vessels OGV GHG emissions are estimated using vessel-specific call information obtained during data collection for the 2006 annual inventory This data includes the ports that the vessels traveled from and the next port of call and therefore the domain is global The 2006 OGV domain is global as presented in Figure 17 below

Figure 17 2006 Expanded GHG Inventory OGV Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 28: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 23 October 2009

195 On-Road Heavy-Duty Vehicles Truck transport can typically be cost competitive with rail service up ~600 miles For the expanded GHG inventory the geographical domain consists of the major routes beyond the SoCAB that have been identified through a transportation study completed for the two Ports Figure 18 presents the SoCAB boundaries the major highway routes beyond the SoCAB and the 600 mile radius arc It should be noted that it is assumed that population centers in California north of Fresno are most likely served by the Port of Oakland and therefore routes from the Port in this direction will be limited to the distance between Los Angeles and Fresno

Figure 18 On-Road Heavy-Duty Major Routes from SoCAB Boundary to 600 Miles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 29: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 24 October 2009

196 Railroad Locomotives The Class 1 railroad companies that serve the Port of Los Angeles are BNSF and UP These two railroads principally serve the western part of the United States primarily west of Chicago St Louis and Houston The major routes outside the SoCAB have been identified through previous interviews with the Class 1 railroads and through materials published on their websites The expanded geographic area encompassing the rail routes to major cities at distances greater than 600 miles is presented in Figure 19

Figure 19 Main Railways Traveled by BNSF and UP from the Port of Los Angeles

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 30: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 25 October 2009

Methodology Background GHG emissions were estimated utilizing the methodology used to produce the 2006 Inventory of Air Emissions released June 2008 by the Port of Los Angeles The methodologies included in the 2006 report have been reviewed and approved by CARB SCAQMD and EPA Staff from these agencies and the two San Pedro Bay Ports makes up a standing Technical Working Group that reviews and ensures that all EIs produced by the Ports are consistent with the latest agency-approved methods and data Further details and enhancements that were made for the expanded inventory are provided for each source category in the following sections

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 31: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 26 October 2009

SECTION 2 OCEAN-GOING VESSELS This section details the 2006 OGV activity methodology used to estimate emissions the resulting emission estimates and provides facts and findings from the study 21 Activity

Annual Marine Exchange data detailing OGV calls was utilized to determine previous port of call for import cargoes and next port of call for export cargoes The Marine Exchange tracks every ship that arrives and departs the Port This high level of data resolution allows for emissions to be estimated on a vessel-by-vessel and call-by-call basis This data includes where the ship last stopped prior to the Port and the next port destination for each ship call The data set does not include a shiprsquos entire voyage (only the previous and next port) and therefore the number of arrivals and departures from each port listed will not be the same It should also be noted that OGV activity level changes each year so the mix of routes associated with the Port will change The ranking of ports by in-bound calls and their distribution of countries of origin visiting the Port in 2006 are presented in Table 21 and Figure 21 (respectively)

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 32: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 27 October 2009

Table 21 2006 Ranking of Ports of Origin by Frequency of Arrivals (In-Bound Activities)

Total

Port In-Bound

ActivitiesOakland USA 250Kaohsiung TWN 214Pusan KOR 213Ensenada MEX 165Ningbo CHN 137Manzanillo PAN 95San Francisco USA 95Hong Kong CHN 85Yokohama JPN 78Puerto Quetzal GTM 69Cabo San Lucas MEX 66Singapore SGP 64Shimizu JPN 63Vancouver CAN 56Yantian CHN 55Tokyo JPN 50Martinez USA 40Miami USA 39Puerto Vallarta MEX 35Sendai JPN 34Lazaro Cardenas MEX 33Shanghai CHN 31Ulsan KOR 29Seattle USA 28Valparaiso CHL 28Kingston JAM 25Onsan KOR 24Suva FJI 24Tacoma USA 24Others 517

2666

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 33: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 28 October 2009

Figure 21 2006 Distribution of Arrivals by Country of Origin

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 34: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 29 October 2009

The ranking of destination ports by out-bound call frequencies and distribution of destination countries from the Port in 2006 are presented in Table 22 and Figure 22 (respectively)

Table 22 2006 Ranking of Destination Ports by Frequency of Departures (Out-Bound Activities)

Total

Port Out-Bound

ActivitiesOakland USA 572Shanghai CHN 242San Francisco USA 137Vancouver CAN 114Tacoma USA 105Kaohsiung TWN 100Ensenada MEX 77Yokohama JPN 74San Diego USA 73Manzanillo MEX 64Honolulu USA 60Auckland NZL 59Manzanillo PAN 52Kwangyang KOR 47Cabo San Lucas MEX 45Hong Kong CHN 42Ningbo CHN 35Tauranga NZL 35Puerto Vallarta MEX 34Stockton USA 32Valparaiso CHL 29Kobe JPN 27Balboa PAN 25Martinez USA 25Hilo USA 24Ulsan KOR 23Melbourne AUS 22Lazaro Cardenas MEX 21Puerto Quetzal GTM 21Others 399

2615

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 35: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 30 October 2009

Figure 22 2006 Distribution of Departures by Destination Country

For each route identified for 2006 the distances for each link within a route were developed using Geographical Information System (GIS) and the great circle route method Routes were adjusted to ensure that they did not cross over land and used the junction points published in Distance Between Ports2 as guidance To check for consistency total route distances were compared to distances published in Distance Between Ports as well as online route calculators Figure 23 illustrates the routes OGVs traveled to and from the Port in 2006 It is important to note that voyage routes may change for each voyage depending on weather schedule and many other factors

2 Publication 151 - Distance Between Ports National Imagery and Mapping Agency 2001

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 36: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 31 October 2009

Figure 23 2006 OGV Routes To and From the Port

A wide variety of ship types make up the calls in 2006 This is important because each ship type has its own unique characteristics that impact emission estimates OGVs calling only at the Port of Long Beach (POLB) or bypassing the Port without physically stopping at a Port dock have not been included Ocean-going vessels are categorized by the following main vessel types

Auto carrier Bulk carrier Containership Passenger cruise vessel General cargo Ocean-going tugboat Miscellaneous vessel Refrigerated vessel (Reefer) Roll-on roll-off vessel (RoRo) Tanker

Based on the 2006 Marine Exchange data there were a total of 2666 arrivals (in-bound) 2615 departures (out-bound) for a total of 5281 distinct OGV activities crossing into or leaving the SoCAB domain It should be noted that there are some routes contained in the 2006 inventory that are contained completely in the SoCAB boundary (Catalina El Segundo etc) and therefore are not counted in as part of the expanded GHG inventory Port OGV traffic is dominated by containerships which made up ~61 percent of all arrivals and ~62

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 37: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 32 October 2009

percent of all departures A full breakout of vessel arrivals and departures to the SoCAB domain is presented in Table 23 below

Table 23 Total OGV Movements for 2006

Auto Carrier 71 71Bulk 173 166Bulk - Heavy Load 5 3Bulk - Self Discharging 1 1Bulk Wood Chips 2 1Container1000 218 216Container2000 149 149Container3000 201 200Container4000 515 511Container5000 289 282Container6000 181 181Container7000 78 79Container8000 1 2Cruise 259 257General Cargo 125 116ITB 53 46MISC 1 1Reefer 33 34RoRo 2 1Tanker - Chemical 160 151Tanker - Aframax 4 5Tanker - Handyboat 84 80Tanker - Panamax 61 62

2666 2615

Vessel TypeArrivals

(In-Bound)Departures

(Out-Bound)

It should be noted that containerships and tankers are subdivided by capacity to provide better resolution on these vessel types The 2006 number of vessel arrivals and departures include only those activities occurring between January 1 and December 31 2006 Therefore the number of arrivals may not match the number of departures For example if a vessel arrived on December 31st of 2005 and departed the Port on January 2nd of 2006 only its departure would be included in the tally above Likewise if a vessel arrived at the Port on December 31st of 2006 and departed on January 2nd of 2007 only its arrival would be included in the tally above

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 38: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 33 October 2009

22 Methodology GHG emissions were estimated using the methodology used to produce the Port 2006 Inventory of Air Emissions released in June 2008 by the Port The methods used for this study are summarized in this section Activity data from 2006 was used with the latest methodologies which have been reviewed by the Agency Technical Working Group Staff from these agencies and the two San Pedro Bay Ports make up a standing Technical Working Group that reviews and ensures that all inventories produced by the Ports are consistent with the latest agency-approved methods and data The methodology used is an activity-based method that calculates energy consumption for the three primary emission sources found on a ship propulsion or main engine(s) auxiliary generators and auxiliary boilers The operational profiles for these sources change depending on the shiprsquos mode of operation There are five typical modes associated with ship operations open sea transit (at sea) transition from sea to maneuvering transition from maneuvering to sea maneuvering and at-berth To determine energy associated with the propulsion or main engine(s) the following equation is used

Equation 21 Energy (kW-hrs) = MCR (kW) x LF (unitless) x Activity

Where

MCR = maximum continuous rated engine power available kW LF = load factor (unitless) Activity = activity of the engine at a given load hours

Load factor for propulsion or main engine(s) is expressed as the ratio of an enginersquos power output at a given speed to the enginersquos MCR rating At normal service speed or sea speed a ship typically has a main engine load factor of close to 80 percent This is based on interviews with ship crews and the Propeller Law which is used to estimate ship propulsion engine loads based on the principle that propulsion power varies by the cube of speed

Equation 22

LF = (AS MS) 3

Where

LF = load factor percent AS = actual speed knots MS = maximum speed or Lloydrsquos reported speed knots

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 39: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 34 October 2009

Through the Vessel Boarding Program3 (VBP) it was found that typically the Lloydrsquos speed value is determined during the sea trials of the vessel and for maintenance and engine longevity issues the ships typically have a sea service speed of approximately 94 percent of the sea trial speed This is equivalent to an average LF of ~083 for open sea operations For the expanded OGV domain it was assumed that all vessels traveled at their sea speed Auxiliary engine information is usually not provided to Lloydrsquos by vessel owners since it is not required by IMO or the classification societies thus Lloydrsquos data contains minimal auxiliary engine information Therefore auxiliary engine data gathered from the VBP and Lloydrsquos data on ships making local calls to both San Pedro Bay Ports (Los Angeles and Long Beach) were used to generate profiles or defaults for missing data Since the defaults are based on the vessels that visit the Port that year defaults will vary slightly from year to year Actual data from VBP were used for those vessels with known engine loads during transit The auxiliary engine defaults were used for those that had missing data Table 24 summarizes the auxiliary engine load defaults used during transit for this study by vessel subtype

3 The Vessel Boarding Program is part of the annual data collection process for the Port inventories Its described in Section 335 Port of Los Angeles Inventory of Air Emissions ndash 2006 Volume 1 Technical Report July 2008 prepared by Starcrest Consulting Group LLC

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 40: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 35 October 2009

Table 24 2006 Auxiliary Engine Power and Load Defaults

Vessel Type Transit Auto Carrier 374Bulk 345Bulk - Heavy Load 485Bulk - Self Discharging 494Bulk - Wood Chips 485Container - 1000 358Container - 2000 633Container - 3000 611Container - 4000 966Container - 5000 1087Container - 6000 1719Container - 7000 1774Container - 8000 1552Cruise 7368General Cargo 359ITB 102Miscellaneous 256Reefer 592RoRo 1035Tanker - Aframax 567Tanker - Chemical 857Tanker - Handyboat 517Tanker - Panamax 671

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 41: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 36 October 2009

Activity in hours is estimated by dividing a distance traveled by the vessel speed

Equation 23 Activity = DAS

Where

Activity = activity hours D = distance nautical miles AS = actual ship speed knots

For each route segment activity in hours was estimated assuming sea service speed Energy associated with the propulsion and auxiliary generators for each ship call is estimated for the entire route from the previous port to the annual emissions inventory domain and then to the next port of call Boilers are assumed to be off because boiler duties are handled by the shiprsquos economizers Emissions within the annual inventory domain have already been estimated for the Portrsquos annual emissions inventory Emission factors are used to convert energy demand to the quantity of emissions The greenhouse gas emission factors for CO2 CH4 and N2O were reported in an IVL 2004 study Vessels are assumed to operate their main engines on residual oil (RO) which is intermediate fuel oil (IFO 380) or one with similar specifications with an average sulfur content of 27 percent This is supported by information collected during the VBP and 2005 CARB survey exceptions are made for vessels that use a fuel other than residual fuel The two predominant propulsion engine types are

Slow speed diesel engines having maximum engine speeds less than 130 revolutions

per minute (rpm)

Medium speed diesel engines having maximum engine speeds over 130 rpm (and typically greater than 400 rpm)

The emission factors for propulsion power using residual fuel are listed in the following table

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 42: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 37 October 2009

Table 25 GHG Emission Factors for OGV Propulsion Power using Residual Oil gkW-hr

Engine

Model Year

CO2

CH4

N2O

Slow speed diesel lt= 1999 620 0012 0031 Medium speed diesel lt= 1999 683 0010 0031 Slow speed diesel 2000 + 620 0012 0031 Medium speed diesel 2000 + 683 0010 0031 Gas turbine all 970 0002 008 Steamship all 970 0002 008

The IVL auxiliary engine GHG emission factors used in this study are presented in Table 26

Table 26 GHG Emission Factors for Auxiliary Engines using Residual Oil

gkW-hr

Engine

MY

CO2

CH4

N2O

Medium speed all 683 0008 0031 Finally emissions are converted to metric tons To normalize the GHG pollutants into a common value GHG emissions estimates can be multiplied by the following ratios and added together to produce a single greenhouse gas value expressed as CO2E The conversion values are as follows

CO2 ndash 1 CH4 ndash 21 N2O - 310

Power generation associated with Alternative Maritime Power (AMP) for containerships at-berth at the China Shipping Terminal are considered Scope 3 emissions which were estimated based on the power consumption used by the program in 2006 There were 61 calls that utilized the AMP system which transferred a total of 2211 megawatt-hours (MW-hrs) from grid-supplied power to the ship instead of generating the same energy on-board with auxiliary engines In addition tenant operations include power consumption for the electric wharf cranes and building electrical needs To estimate the emissions associated with the grid-supplied power the following emission factors4 were used 4 Local Government Operations Protocol for the quantification and reporting of greenhouse gas emission inventories Tables G5 amp G6 Version 10 CARB 25 September 2008 httpwwwarbcagovccprotocolslocalgovpubsfinal_lgo_protocol_2008-09-25pdf

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 43: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 38 October 2009

CO2 ndash 12385 lbsMW-hr CH4 ndash 00067 lbsMW-hr N2O ndash 00037 lbsMW-hr

Grid power is supplied by the City of Los Angelesrsquo Department of Water and Power (DWP) For 2006 DWPrsquos power supply profile included approximately 50 percent coal 29 percent natural gas 9 percent nuclear and 12 percent renewable sources Excluding nuclear and renewable energy generation it is assumed that coal power generation is located out-of-state and natural gas generation is located in the SoCAB domain Therefore from an emissions basis 63 percent is emitted out-of-state and 37 percent is emitted in the SoCAB 23 Emissions Estimates The total expanded (outside SoCAB domain) OGV emissions by port route with the highest number of arrivals and departures are presented in Table 27 As shown in the table the total number of calls is not the dominant variable with regards to GHG emissions itrsquos a combination of route length type of ship and number of calls

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 44: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 39 October 2009

Table 27 2006 Total Expanded OGV GHG Emissions by Total Number of Port Calls

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Oakland USA 822 283599 15 5 288248Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Ensenada MEX 242 21618 1 0 21962Pusan KOR 233 1102041 55 21 1119499San Francisco USA 232 38047 2 1 38710Ningbo CHN 172 843958 42 16 857329Vancouver CAN 170 111592 6 2 113344Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Tacoma USA 129 150903 8 3 153293Hong Kong CHN 127 901680 45 17 915937Cabo San Lucas MEX 111 229793 11 4 233368San Diego USA 94 3653 0 0 3707Puerto Quetzal GTM 90 52426 3 1 53232Manzanillo MEX 79 37494 2 1 38051Singapore SGP 70 505325 25 10 513328Puerto Vallarta MEX 69 101664 5 1 103125Martinez USA 65 7235 0 0 7350Honolulu USA 64 116146 9 0 118978Shimizu JPN 63 335447 17 6 340767Auckland NZL 59 140393 7 3 142603Tokyo JPN 57 312507 16 6 317465Valparaiso CHL 57 77341 4 1 78528Yantian CHN 55 402891 20 8 409278Lazaro Cardenas MEX 54 30120 1 1 30577Ulsan KOR 52 126550 6 2 128549Kwangyang KOR 50 60913 3 1 61857Balboa PAN 44 88246 4 2 89638Others 1135 2288989 115 41 2325534

5281 12840243 644 238 13044751

2006 Total Expanded OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 45: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 40 October 2009

Total 2006 expanded OGV routes ranked by GHG emissions are presented in Table 28 As noted above the top ten routes with respect to CO2E emissions are Asian routes even though there are other routes that have more calls

Table 28 2006 Total Expanded OGV Routes Ranked by GHG Emissions

Total

Port In-Bound amp CO2 N2O CH4 CO2E

Out-Bound (mtons) (mtons) (mtons) (mtons)Kaohsiung TWN 314 2255248 112 43 2290979Shanghai CHN 273 1290455 64 25 1310906Pusan KOR 233 1102041 55 21 1119499Hong Kong CHN 127 901680 45 17 915937Ningbo CHN 172 843958 42 16 857329Singapore SGP 70 496272 25 9 504135Yokohama JPN 152 484741 24 9 492414Manzanillo PAN 147 439226 22 8 446193Yantian CHN 55 402891 20 8 409278Shimizu JPN 63 335447 17 6 340767Tokyo JPN 57 312507 16 6 317465Oakland USA 822 283599 15 5 288248Xiamen CHN 33 242697 12 5 246544Kwangyang KOR 50 168724 8 3 171396Tacoma USA 129 150903 8 3 153293Auckland NZL 59 140393 7 3 142603Miami USA 39 140302 7 3 142526Sendai JPN 34 125282 6 2 127269Cabo San Lucas MEX 111 121981 6 2 123829Honolulu USA 64 116146 9 0 118978Vancouver CAN 170 111592 6 2 113344Ulsan KOR 52 101709 5 2 103307Puerto Vallarta MEX 69 101664 5 1 103125Kobe JPN 30 97400 5 2 98944Hilo USA 24 87955 6 1 89799Balboa PAN 44 88246 4 2 89638Qingdao CHN 27 82867 4 2 84171Tauranga NZL 35 78970 4 1 80206Valparaiso CHL 57 77341 4 1 78528Others 1769 1658006 82 30 1684098

5281 12840243 644 238 13044751

2006 Total OGV Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 46: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 41 October 2009

The total 2006 tenant operational energy consumption associated with electric wharf cranes building electricity AMP and natural gas usage is considered Scope 3 GHG emissions In addition Port employee vehicles are also considered under Scope 3 Total emissions by domain are presented in Table 29

Table 29 2006 Portrsquos Other Sources GHG Emissions by Domain

Scope

Ports Other So rces3 Expanded Inventory (SoCAB) 41505 1 0 416173 Expanded Inventory (Out-of-State) 57531 0 0 57590

Total 99036 1 0 99207

2006 Port-Related GHG Emissions

Domain CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)u

Domain

Annual Inventory (Within 24 nm of CA Coast)Expanded Inventory (Within 24 nm of CA Coast Outside Annual Inventory (Outside 24 nm of CA Coast)Expanded Inventory (Outside 24 nm of CA Coast)

CO2 N2O CH4 CO2E(mtons) (mtons) (mtons) (mtons)332542 19 3 338379

SoCAB) 585437 30 11 59492836949 2 0 37598

12254806 614 227 12449823TOTAL 13209734 665 241 13420728

2006 Total OGV Emissions

The total expanded and annual inventory Port-related OGV GHG emissions by domain are presented in Table 210

Table 210 2006 Total Port-Related OGV GHG Emissions by Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 47: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 42 October 2009

24 Facts amp Findings Figure 24 illustrates the distribution of total Port-related OGV emissions between the SoCAB domain (extends beyond the 24 nm ldquoIn-Staterdquo line) in-state (within 24 nm of California Coast outside the SoCAB boundary) and out-of-state (as presented in Figure 14) The total 2006 in-state Port-related (SoCAB within 24 nm plus in-state) OGV emissions were estimated at 796538 metric tons CO2E These emissions are represented by the red and blue pie slices in the figure

Figure 24 2006 OGV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 48: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 43 October 2009

SECTION 3 HEAVY-DUTY VEHICLES 31 Activity There are three types of truck trips to and from the Port

Direct ndash Trips that start or end at a Port facility and travel is by truck directly between the Port and the shipper (origin) or recipient (destination) of the goods

Rail Drayage ndash Trips that start or end at a Port facility and travel is by truck between

the Port and an off-dock rail yard This includes trips between Port terminals and the ICTF operated by UP on Port property

Transloading ndash Trips that start at a Port facility and end at a warehouse or loading facility where freight is removed from its overseas shipping container and re-packaged for overland shipment to its destination for distribution to their final destination

All mileage associated with direct rail drayage and transloading truck trips within the SoCAB is included in the annual EIs This includes the portions of trips that have origin or destination outside the SoCAB that occur within the SoCAB (ie trips from the Port to destinations outside the SoCAB are counted for their mileage that occurs within the basin) To estimate the emissions for truck trips outside the SoCAB the Port utilized information that was developed for the annual inventory of emissions within the SoCAB This includes the annual number of truck trips to and from the Port and the percentage that travel outside the SoCAB based on origindestination data collected by a Port transportation consultant in support of Port transportation planning assignments The origindestination data indicate the percentages of trucks that travel to and from various locations within the SoCAB and to and from cities outside the SoCAB The origin and destination information is specific to the three general configurations of container trucks trucks carrying a container trucks carrying a bare chassis (no container) and trucks traveling with no trailer (bobtails) The origindestination data was used to estimate the percentages of trips that travel the major highways into and out of the air basin These percentages were then used to develop a statistical distribution that could be applied to the total number of truck trips in 2006 to determine the number of trips that traveled beyond the SoCAB boundary and to distribute the trips along the major highway routes Figure 31 illustrates these routes while Table 31 lists the routes the major cities to and from which the routes travel and the distances to those cities Table 32 lists the distribution percentages that have been applied to the total number of truck trips to estimate the number of container chassis and bobtail trucks on each route inbound and outbound while Table 33 lists the estimated number of each type of truck based on these percentages and the total number of truck trips to and from the Port in 2006 equivalent to approximately 55 million trips

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 49: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 44 October 2009

Figure 31 Population Centers along Major Routes Beyond SoCAB

Table 31 Routes Major OriginsDestinations and Maximum Distances

MaximumRoute Major City Distance US 101 N San Jose 315I-5 N Oakland 197SR 99 N Sacramento 245I-10 E El Paso 585I-5 S San Diego 71I-15 S San Diego 48I-15 N Salt Lake City 626I-15 to I-40 Albuquerque 643

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 50: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 45 October 2009

Table 32 Route Distribution Percentages

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 00053 00000 00000 00056 00000 00004I-5 N 00109 00004 00012 00098 00004 00009SR-99 N 00036 00008 00000 00034 00000 00000I-10 E 00231 00008 00049 00235 00004 00017I-5 S 00158 00000 00012 00120 00000 00026I-15 S 00000 00000 00000 00000 00000 00004I-15 N 00055 00003 00003 00048 00000 00013I-15 to I-40 00018 00001 00001 00016 00000 00004

Table 33 Route Distribution ndash Number of Trips

Route Inbound Trips Outbound TripsContainers Chassis Bobtail Containers Chassis Bobtail

US-101 N 29163 0 0 30814 0 2201I-5 N 59977 2201 6603 53925 2201 4952S-99 N 19809 4402 0 18709 0 0I-10 E 127108 4402 26962 129309 2201 9354I-5 S 86940 0 6603 66030 0 14307I-15 S 0 0 0 0 0I-15 N 30264 1651 1651 26412 0 7153I-15 to I-40 9905 550 550 8804 0 2201

2201

The total truck miles along each route have been calculated by distributing the total trips on each route to the population centers along each route out to 600 miles as illustrated in Figure 31 The distributions were made on the basis of the populations along the routes assuming that truck trips originated or terminated along the routes in proportion to the populations The routes have been divided into segments each segment having a defined length ndash the total distance of each route as shown in Table 31 is the sum of the lengths of all the segments in that route At the boundary of the SoCAB the number of truck trips on each route is equal to the total number of trips for the year multiplied by the relevant percentage shown in Table 32 As the distance from the SoCAB boundary increases the number of truck trips on each route is decreased by a ldquodecay factorrdquo that is based on the population along the route to that point For each segment the vehicle miles travelled (VMT) has been calculated by multiplying the number of truck trips remaining in the route (after application of the decay factor) by the length of the segment All the segments in each route are summed to calculate the total VMT over each segment In this way a total of 6986 million travel miles has been estimated

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 51: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 46 October 2009

It should be noted that emissions associated with the cooling units on refrigerated (reefer) containers have not been estimated These cooling units which are used to keep the container contents at required temperatures are powered by small intermittently operating diesel generators Emissions have not been estimated for these units because data is currently limited to the amount of time the cooling units are actually operated and because reefers represent a small portion of total containerized throughput their emissions are anticipated to be significantly less than overall truck emissions 32 Methodology Emissions have been estimated using emission factors expressed as grams per mile using the vehicle mileage activity discussed in the previous section The emission factors are the same as those used for estimating greenhouse gases for the 2006 Port emissions inventory covering activities within the SoCAB The CO2 and CH4 emission factors are from CARBrsquos EMFAC 2007 model while the N2O is based on a relationship with the EMFAC estimates of NOx emissions Because specific speeds are not known the emission factors used in the 2006 emissions inventory for travel between 45 and 50 miles per hour (mph) were used for highway segments that are within municipal limits while emission factors used for travel between 55 and 60 mph were used for highway segments outside municipalities The emission factors used for these two speed ranges are presented in Table 34

Table 34 HDV Greenhouse Gas Emission Factors gmile

Speed CO2 N2O CH4

mph gmile gmile gmile 45 ndash 50 1683 0231 005755 ndash 60 1666 0235 0069

The emission factors for CO2 are many orders of magnitude larger than those for N2O and CH4 because the carbon is main constituent of diesel fuel and combustion of fuel leads to the formation of CO2 from the carbon in the fuel The other compounds are formed incidentally from nitrogen in the air that enters the engine to support combustion or in the fuel (N2O) or as products of incomplete combustion (CH4) Emissions were estimated for each road segment by multiplying the length of the segment in miles by the gmile emission factor for the assumed speed over the segment

Equation 31

milesyear x gmile = metric tonsyear 1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 52: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 47 October 2009

33 Emissions Estimates The estimated emissions from HDVs operating outside the SoCAB domain on trips between the Port and locations outside the SoCAB are presented by route in Table 35

Table 35 2006 Total Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

I-10E 191328 267 74 199769I-15I-40 17494 25 07 18270I-15N 54507 76 21 56918I-15S 176 00 00 183I-5N 18134 26 07 18941I-5S 18018 25 06 18802S-99N 12894 18 05 13461US-101N 15337 21 06 16011

327888 458 127 342355

Total Emissions (In-Bound amp Out-Bound)

Tables 36 and 37 present the in-bound and out-bound components of the out-of-basin emissions respectively The emissions from in-bound trucks (coming in to the Port) exceed those from out-bound trucks because these emissions are from trucks that travel from locations outside the SoCAB directly to the Port Out-bound trucks that leave intermodal cargo transloading facilities within the SoCAB are not included in the expanded GHG domain as these movements are not directly related to the Port

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 53: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 48 October 2009

Table 36 2006 Total In-Bound Expanded HDV Emissions by Route

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 101291 142 39 105760I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 0 00 00 0I-5N 9605 14 04 10033I-5S 9693 13 03 10115S-99N 7273 10 03 7593US-101N 7194 10 03 7509

171057 239 66 178604

In-Bound Emissions

Route CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)I-10E 90037 126 35 94009I-15I-40 8747 12 03 9135I-15N 27254 38 11 28459I-15S 176 00 00 183I-5N 8529 12 03 8909I-5S 8325 11 03 8687S-99N 5620 08 02 5867US-101N 8144 11 03 8501

156831 219 61 163751

Out-Bound Emissions

Table 37 2006 Total Out-Bound Expanded HDV Emissions by Route

The total expanded and annual inventory Port-related HDV GHG emissions by domain are presented in Table 38

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 54: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 49 October 2009

Table 38 2006 Total Port-Related HDV GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

2006 Port-Related HDV GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition

34 Facts amp Findings The distribution of total Port-related HDV emissions between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 32 The total 2006 in-state Port-related (in-state excluding the SoCAB) HDV emissions were estimated at 820511 metric tons CO2E HDV emissions by route (outside the SoCAB) in-bound and out-bound are presented in Figure 33

Figure 32 2006 HDV Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 55: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 50 October 2009

Figure 33 2006 Total Expanded HDV Emissions by Route In-Bound amp Out-Bound metric tons

0

50000

100000

150000

105

760

913

5

284

59

0

100

33

101

15

759

3

750

9

940

09

913

5

284

59

183 8

909

868

7

586

7

850

1

Inbound Outbound

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 56: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 51 October 2009

SECTION 4 RAIL LOCOMOTIVES 41 Activity The Port collects annual data on the amount of Port-related cargocontainers that are moved by on-dock and near-dock rail facilities The Port also collects cargo throughput data that can be used to estimate the distribution of cargo between the two railroads There are two types of locomotive activities associated with Port operations switching and Class 1 line haul locomotives Switching activities occur fully within the SoCAB and are currently estimated and reported in the annual emissions inventories Class 1 line haul locomotives transit in and out of the SoCAB to and from points across the country Emissions from Class 1 line haul locomotives operating within the SoCAB are currently estimated and reported in the annual emissions inventories Published materials have been used to characterize the rail routes with the highest volumes of travel to and from the Port as discussed below Figure 41 was part of a presentation from the Port of Oakland and displays the most heavily traveled routes from both BNSF and UP railroads (from the US Department of Transportation)

Figure 41 Most Heavily Traveled Routes by BNSF amp UP from California

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 57: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 52 October 2009

Figure 42 is part of a similar presentation from BNSF that shows the volume of BNSF traffic on the illustrated rail routes

Figure 42 BNSF Travel Volume per Main Route

In both of the foregoing figures the thicknesses of the illustrated rail lines denote the relative volume of rail cargo along the respective routes These illustrations have been used to apportion rail cargo volumes to the various routes into and out of the SoCAB In addition UP has provided the percentage breakdown of the routes their cargo takes into and out of the SoCAB (primarily eastwest either through Yuma Arizona or over the Cajon Pass) as part of emissions inventory development These percentages have also been used to apportion UP rail emissions to specific routes Note that the total amount of rail cargo to and from the Ports has been obtained from Port records ndash the previous figures and the UP percentage data has been used to apportion this cargo to various routes for the purpose of estimating the distances the cargo is transported

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 58: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 53 October 2009

Key routes have been identified to the major cities served from the Los Angeles area by each of the Class 1 railroads Distribution of cargo has been estimated from the sources presented above and from other sources to determine the likely freight distribution by route for each railroad Table 41 presents the main intermodal routes for each Class 1 railroad the distance of the route and the estimated percentage of each railroadrsquos total cargo that is moved on each route

Table 41 Estimated Distance and Percentage of Cargo Moved By Rail in 2006

Railroad Destination Distance 2006City (miles) Freight

BNSF Chicago 2237 235BNSF Dallas 1477 59BNSF Houston 1668 41BNSF Kansas City 1823 235BNSF St Louis 2135 18UP Chicago 2107 99UP Dallas 1437 157UP Houston 1605 107UP Kansas City 1762 21UP Seattle 817 10UP Salt Lake City 1255 16UP St Louis 2036 02

The Port will continue its data discovery efforts meet with the railroad companies and utilize published materials from the railroads to further improve assumptions of route distribution and train characteristics 42 Methodology Emissions from line haul locomotives operating outside of the SoCAB have been estimated on an activity basis ie based on estimates of the number and characteristics of locomotives that arrive and depart with cargo The information used in developing these estimates has been obtained from the Port and Port terminals

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 59: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 54 October 2009

Line haul locomotive activity outside the SoCAB boundary has been estimated through an evaluation of the amount of Port cargo transported by rail and average or typical train characteristics such as number of containers and number of gross tons per train In this way estimates have been prepared of gross tonnage and transport distances similar to the methodology used for the Port emissions inventories The activity information has been used to develop an estimate of overall horsepower-hours expended on each rail route outside of the Air Basin Emissions have been estimated by multiplying the horsepower-hour estimates by EPArsquos greenhouse gas emission factors5 expressed in terms of grams per horsepower-hour (ghp-hr) Table 42 lists the emission factors

Table 42 GHG Emission Factors for Line Haul Locomotives ghp-hr

CO2 N2O CH4 EF ghp-hr 487 0040 0013

The four components to locomotive activity that were estimated to develop the out-of-basin emission estimates are the number of trains the average weight of each train the distances traveled on each route outside of the basin and the amount of fuel used per ton-mile of train activity Using the average train capacity on which the 2006 Port emissions inventory was based (average 204 containers per train) and the Portrsquos 2006 intermodal throughputs a total of 8633 trains were estimated to have been associated with Port rail cargo movements in 2006 The gross weight (including locomotives railcars and freight) of a typical train was estimated to be 5300 tons consistent with the value calculated for the Portrsquos 2006 emissions inventory The distances over each route between the Port and major rail destinations were calculated by dividing the routes into discrete segments and summing the lengths of each segment over each route These estimated distances are presented above in Table 41

5 CO2 - Tables A-28 and A-36 page A-39 Annex 2 of the report (EPA 430-R-07-002 April 2007) entitled Inventory of US Greenhouse Gas Emissions and Sinks 1990-2005 CH4 and N2O - Table A 101 page A-120 in Annex 3 of the same report

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 60: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 55 October 2009

Gross ton-miles were calculated by multiplying together the number of trains the gross weight per train and the miles traveled The results of this calculation for each route are shown in Table 43 as million gross ton-miles (MMGT-miles) per year This table also shows the estimated total fuel usage calculated by multiplying the gross tons by the average 2001 fuel consumption factor for the two line haul railroads (1328 gallons of fuel per thousand gross ton-miles) as reported in the 2001 baseline emissions inventory The railroadsrsquo fuel consumption factors may have been lower in 2006 than in 2001 but the railroads have not provided updated factors for publication citing confidentiality The use of the average of their 2001 factors (which have been published in the Portrsquos baseline inventory) will produce a conservatively high estimate of fuel use Also listed in Table 43 is the estimated total of out-of-basin horsepower-hours calculated by dividing the fuel use by the fuel use factor of 0048 galhp-hr

Table 43 2006 Gross Ton-Mile Fuel Use and Horsepower-hour Estimates (per year)

Railroad Destination Distance Trains MMGT MMGT-miles

City miles per year per year per yearBNSF Chicago 2237 1944 103 23047BNSF Dallas 1477 486 26 3806BNSF Houston 1668 340 18 3007BNSF Kansas City 1823 1944 103 18783BNSF St Louis 2135 146 08 1652UP Chicago 2107 818 43 9135UP Dallas 1437 1295 69 9860UP Houston 1605 886 47 7536UP Kansas City 1762 170 09 1588UP Seattle 817 85 05 368UP Salt Lake City 1255 136 07 904UP St Louis 2036 17 01 183

79868106

2208

Total MMGT-milesEstimated gallons of fuel (millions)Estimated horsepower-hours (millions

Emission estimates for line haul locomotive activity outside the SoCAB originating or terminating at the Port were calculated by multiplying this estimate of overall horsepower-hours by the emission factors in terms of ghp-hr

Equation 41 hp-hryear x ghp-hr = metric tonsyear

1000000 gmetric ton

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 61: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 56 October 2009

43 Emissions Estimates

The 2006 expanded domain Class 1 line-haul emission results are presented in the following tables by destination city and total emissions in-state emissions and out-of-state emissions Table 44 presents the total expanded (outside the SoCAB domain) Class 1 line-haul emissions

Table 44 2006 Total Expanded Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 315996 84 260 319156BNSF Dallas 54133 14 44 54674BNSF Houston 42287 11 35 42709BNSF Kansas City 248666 66 204 251152BNSF St Louis 22066 06 18 22286UP Chicago 130776 35 107 132084UP Dallas 143019 38 117 144449UP Houston 106428 28 87 107492UP Kansas City 21143 06 17 21355UP Seattle 7735 02 06 7812UP Salt Lake City 7579 02 06 7655UP St Louis 2430 01 02 2454Totals 1102257 29 91 1113280

Total Emissions Table 45 presents the ldquoin-staterdquo (outside the SoCAB domain) Class 1 line-haul emissions Table 46 presents the ldquoout-of-staterdquo Class 1 line-haul emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 62: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 57 October 2009

Table 45 2006 Expanded In-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 49880 13 41 50379BNSF Dallas 18650 05 15 18836BNSF Houston 8383 02 07 8467BNSF Kansas City 49114 13 40 49605BNSF St Louis 3668 01 03 3705UP Chicago 17825 05 15 18003UP Dallas 26926 07 22 27195UP Houston 17896 05 15 18075UP Kansas City 3388 01 03 3422UP Seattle 4761 01 04 4808UP Salt Lake City 2794 01 02 2822UP St Louis 341 00 00 345Totals 203626 5 17 205662

Total Emissions

Table 46 2006 Expanded Out-of-State Class 1 Line-Haul Emissions

Railroad Destination CO2 N2O CH4 CO2E

City (mtons) (mtons) (mtons) (mtons)BNSF Chicago 266116 71 219 268777BNSF Dallas 35483 09 29 35838BNSF Houston 33904 09 28 34243BNSF Kansas City 199551 53 164 201547BNSF St Louis 18398 05 15 18581UP Chicago 112951 30 93 114081UP Dallas 116093 31 95 117254UP Houston 88532 24 73 89417UP Kansas City 17755 05 15 17933UP Seattle 2974 01 02 3004UP Salt Lake City 4785 01 04 4833UP St Louis 2089 01 02 2110Totals 898632 24 74 907618

Total Emissions

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 63: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 58 October 2009

The total expanded and annual inventory Port-related rail locomotive GHG emissions by domain are presented in Table 47

Table 47 2006 Total Port-Related Rail GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)Annual Inventory 106987 3 9 108056Expanded - In-State 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618Total Port-Related 1209244 32 99 1221336

2006 Port-Related Rail GHG Emissions

Domain

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition 44 Facts amp Findings The distribution of total Port-related rail locomotive emissions (including switch and Class 1 line-haul) between the SoCAB (regional) in-state (rest of California outside of SoCAB) and out-of-state are presented in Figure 43 The total 2006 in-state Port-related (SoCAB plus in-state) rail emissions were estimated at 313718 metric tons CO2E

Figure 43 2006 Rail Emissions Distribution by Domain

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 64: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 59 October 2009

The total 2006 Class 1 line-haul emissions in the expanded domain by railroad and destination are presented in Figure 44

Figure 44 2006 Total Class 1 Line-Haul Expanded CO2E Emission by Destination

metric tons

0

50000

100000

150000

200000

250000

300000

350000319156

54674

42709

251152

22286

132084144449

107492

213557812 7655 2454

BNSF Union Pacific

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 65: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 60 October 2009

SECTION 5 PORT-RELATED DIRECT FOOTPRINT This section summarizes the total GHG emissions that have a direct connection to andor through the Port The 2006 Port-related Scope 1 2 amp 3 emissions carbon footprint is presented in Table 51

Table 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions

Scope 2006 Inventory Study CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

1amp2 Annual Municipal GHG Inventory 9798 0 0 9913 3 Electric Wharf Cranes 69016 0 0 69088 3 Buildings Electricity 21060 0 0 21082 3 AMP 1242 0 0 1243 3 Buildings Natural Gas 5801 1 0 5818 3 Port Employee Vehicles 1917 0 0 1976 3 Expanded GHG Inventory 15635596 832 385 15976580

Total 15744430 834 386 16085700

- updated with 2006 energy consumption factors

2006 Port-Related GHG Emissions

The 2006 combined emissions footprint for Port-related emissions for all three Scopes is presented in detail in Table 52

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 66: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 61 October 2009

Table 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions

Scope CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)

POLA Municipal Operations1 Annual GHG Inventory 2371 0 0 2478

Municipal nergy Co ion E nsumptAnnual Municipal GHG Inventory (SoCAB) 2748 0 0 2751Annual Municipal GHG Inventory (Out-of-State) 4679 0 0 4684

Subtotal 7428 0 0 7435Por s Other Sources

Expanded Inventory (SoCAB) 41505 1 0 41617Expanded Inventory (Out-of-State) 57531 0 0 57590

Subtotal 99036 1 0 99207Oce n-Going Vessel Operations

Annual Inventory (Within 24 nmInside SoCAB) 332542 19 3 338379Expanded Inventory (Within 24 nmOutside SoCAB) 585437 30 11 594928Annual Inventory (Outside 24 nmInside SoCAB) 36949 2 0 37598Expanded Inventory (Outside 24 nm amp SoCAB) 12254806 614 227 12449823

Subtotal 13209734 665 241 13420728Hea y-Duty Vehicle Operations

Annual Inventory (Within SoCAB) 624888 82 25 650926Expanded - In-State (Outside SoCAB) 162416 23 6 169585Expanded - Out-of-State 165472 23 6 172770Total Port-Related 952776 128 38 993282

Rail Locomotive OperationsAnnual Inventory (SoCAB) 106987 3 9 108056Expanded - (In-State Outside SoCAB) 203626 5 17 205662Expanded - Out-of-State 898632 24 74 907618

Subtotal 1209244 32 99 1221336Carg Handling Equipment Operations

Annual Inventory 202166 5 6 261276Harbor Craft Operations

Annual Inventory 61676 3 1 79958

TOTAL 15744430 834 386 16085700

Domain

2006 Port-Related GHG Emissions

22

t33

a3333

v333

333

o3

3

Note The blue highlights represents emissions within the CARB ldquoIn-Staterdquo domain definition

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 67: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 62 October 2009

The distribution of Scopes 1 2 amp 3 emissions by source category is presented in Figure 51

Figure 51 2006 Total Port-Related Scopes 1 2 amp 3 GHG Expanded Domain Emissions Distribution by Source Category

Emissions by domain (SoCAB In-State Out-of-State) are presented in Table 53 and the distribution by geographic domain is illustrated in Figure 52 Table 53 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions by Domain

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1411832 115 45 1523040SoCAB (Including entire over water boundary)

In-State (Outside SoCAB amp win 24 nm of CA Coas 95147 5 9701Out-of-State (Outside California) 1338112 66 3 135924

TOTAL 15744430 834 386 16085700

2006 Port-Related GHG Emissions

Domain

t) 8 8 34 750 1 08 85

Note The blue highlight represents emissions within the CARB ldquoIn-Staterdquo domain definition Totals may differ slightly due to rounding

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 68: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 63 October 2009

Figure 52 2006 Total Port-Related Scopes 1 2 amp 3 GHG Emissions Domain Distribution

The California State domain is equal to the SoCAB emissions (all land and out to 24-nm from the California Coast) plus the in-state domain outside of the SoCAB It should be noted that the majority of the emissions in the annual tenant inventories fall within the 24-nm line off the California Coast The 2006 Port-related Scopes 1 2 amp 3 for the State of California are presented in Table 54 and the distribution by SoCAB and in-state domains is illustrated in Figure 53

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 69: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles 64 October 2009

Table 54 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

CO2 N2O CH4 CO2E

(mtons) (mtons) (mtons) (mtons)1374883 113 44 1485442

951478 58 34 970175TAL 2326361 171 78 2455617

2006 Port-Related GHG Emissions

SoCAB (Inside SoCAB win 24 nm)In-State (Outside SoCAB win 24nm)

CALIFORNIA STATE TO

Domain

Figure 53 2006 Total California Port-Related Scopes 1 2 amp 3 GHG Emissions

Domain Distribution

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 70: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

2006 Expanded Greenhouse Gas Inventory

Port of Los Angeles October 2009

Appendix A - OGV ROUTE DISTANCES

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 71: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Aarhus DNK 56153 10228 8314 8313Acajutla SLV 13574 -89837 2102 2101Acapulco MEX 16839 -99910 1494 1493Algiers ALG 36774 3067 7696 7695Anacortes USA 48515 -122610 1085 1085Anchorage USA 61239 -149887 2184 2184Angelholm SWE 56270 12841 8290 8288Antwerp BEL 51298 4300 7755 7754Astoria USA 46187 -123860 857 857Auckland NZL -36836 174771 5661 5660Balboa PAN 8956 -79570 2930 2929Bangsaphan THA 13697 100492 7715 7715Barbers Point USA 21325 -158116 2192 2192Beaumont USA 30078 -94085 4448 4447Benicia USA 38044 -122132 368 369Botany Bay AUS -33973 151215 6542 6540Brazil -14000 -39000 6737 6736Buenaventura COL 3883 -77055 3048 3046Cabo San Lucas MEX 22881 -109910 822 820Caldera CRI 9913 -84720 2500 2499Callao PER -12045 -77147 3632 3631Canada 61622 -94000 7687 7686Caracas ANT 12 080 68 863 3 683 3 682Caracas ANT 12080 -68863 3683 3682Cardenas CUB 23049 -81196 4060 4059Cartagena COL 10403 -75531 3243 3242Cebu PHL 10306 123926 6397 6397Cedros Island MEX 28097 -115185 340 339Charleston USA 32822 -79928 4613 4611Cherry Point USA 48863 -122759 1099 1099Chiba JPN 35562 140064 5148 5148Chile -37000 -73000 4908 4907China 28000 122000 5996 5996Coatzacoalcos MEX 18140 -94408 4322 4321Colombia 4000 -77000 3055 3053Columbia River USA 46000 -124000 837 837Come By Chance CAN 47799 -54019 5750 5749Coquimbo CHL -29948 -71334 4639 4638Corinto NIC 12472 -87174 2269 2268Corpus Christi USA 27813 -97407 4508 4507Cristobal PAN 9350 -79908 2976 2975Crockett USA 38057 -122216 365 365Crofton CAN 48865 -123639 1102 1102Daesan KOR 37014 126380 5537 5538Dalian CHN 38934 121651 5707 5708Duncan Bay CAN 50075 -125286 1193 1193Ensenada MEX 31851 -116626 100 100Esmeraldas ECU 0986 -79648 3003 3002Eureka USA 40806 -124167 536 536Freeport BHS 26524 -78767 4255 4254

A-1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 72: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Fukuyama JPN 34458 133427 5282 5283Galena Park USA 29724 -95234 4477 4476Galveston USA 29304 -94819 4442 4441Guayaquil ECU -2284 -79904 3197 3196Guaymas MEX 27919 -110870 1217 1216Gunsan KOR 35960 126591 5467 5467Hamburg DEU 53525 9963 8284 8283Hawaii USA 19273 -155141 2100 2100Hibiki JPN 33938 130771 5427 5427Hilo USA 19733 -155070 2082 2082Hitachanaka JPN 36408 140609 4682 4682Ho Chi Minh City V 10794 106725 7160 7160Hong Kong CHN 22338 114120 6339 6339Honolulu USA 21297 -157869 2178 2178Houston USA 29710 -95055 4468 4467Incheon KOR 37474 126618 5564 5564India 9000 78000 9377 9377Iquique CHL -20203 -70153 4262 4262Irago JPN 34584 137023 4917 4917Ishkari JPN 43203 141289 4736 4736Jacksonville USA 30381 -81564 4529 4528Jakarta IDN -6106 106861 7896 7896Japan 38000 141000 4615 4615Japan 38000 141000 4615 4615Kahalui USA 20895 -156472 2115 2115Kalama USA 46007 -122847 904 904Kanda JPN 33788 131006 5415 5415Kandla IND 23014 70226 10498 10498Kaohsiung TWN 22565 120311 6131 6131Karachi PAK 24835 66978 10552 10552Kashima JPN 35926 140691 4694 4695Kawasaki JPN 35506 139750 5140 5141Keelung TWN 25148 121756 5876 5876Kerteh MYS 4591 103461 7479 7479Kingston JAM 17982 -76829 3519 3518Kinuura JPN 34865 136951 4934 4935Kitimat CAN 53998 -128688 1353 1353Ko Sichang THA 13141 100818 7689 7690Kobe JPN 34684 135241 5106 5106Kona USA 19639 -155997 2155 2155Korea 39000 128000 5123 5124Kuantan MYS 3973 103423 7507 7507Kushiro JPN 42989 144354 4352 4352Kwangyang KOR 34888 127679 5281 5281La Pampilla PER -11956 -77133 3628 3627Lahaina USA 20870 -156678 2134 2134Lanshan CHN 35100 119364 5680 5680Lazaro Cardenas ME 17934 -102180 1347 1346Lianyungang CHN 34745 119413 5675 5675Longkou CHN 37646 120312 5732 5732Longview USA 46113 -122967 896 896A-2

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 73: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Mai Liao TWN 23801 120185 6008 6008Malaysia 1000 103000 7679 7680Mamonal COL 10333 -75533 3242 3241Manila PHL 14524 120949 6511 6511Manta ECU -0936 -80723 3024 3023Manzanillo MEX 19071 -104301 1200 1199Manzanillo PAN 9364 -79885 2977 2976Map Ta Phut THA 12659 101148 7623 7623Maracaibo VEN 10684 -71591 3699 3698March Point USA 48523 -122583 1085 1086Martinez USA 38033 -122128 369 369Melbourne AUS -37833 144918 7030 7029Mexico 19000 -105000 1198 1197Miami USA 25775 -80167 4192 4191Mizushima JPN 34504 133737 5271 5271Mokbo KOR 34776 126383 5401 5401Montevideo URY -34901 -56207 8480 8479Muroran JPN 42336 140956 4511 4511Nagoya JPN 35045 136848 4950 4950Nanchang CHN 28687 115874 6054 6054Nanjing CHN 32103 118731 5812 5813Nansha CHN 23008 112986 6450 6450Narhodak RUS 42817 132883 4893 4893Narhodak RUS 42817 132883 4893 4893Nawilliwilli USA 21954 -159355 2227 2227New Mangalore IND 12927 74812 9711 9711New Orleans USA 29914 -90091 4355 4354New Westminster CA 49187 -122920 1105 1105Niigata JPN 37989 139223 4754 4754Ningbo CHN 29944 121850 5684 5685Novorossiysk RUS 44715 37807 9693 9691Nuku-Hiva PYF -8867 -140100 2823 2822Oahu USA 21000 -158000 2191 2191Oakland USA 37799 -122302 349 350Oita JPN 33272 131681 5362 5363Omaezaki JPN 34619 138217 4852 4852Onahama JPN 36929 140887 4654 4654Onsan KOR 35320 129289 5174 5174Oppama JPN 35324 139655 5134 5135Osaka JPN 34636 135434 5109 5110Paita PER -5083 -81109 3172 3170Panama PAN 8965 -79528 2930 2929Pascagoula USA 30357 -88565 4320 4319Pembroke GBR 51696 -4946 7398 7397Penang MYS 5388 100353 7998 7999Pichilingue MEX 24268 -110328 1034 1033Pisco PER -13710 -76203 3741 3740Pittsburg USA 40449 -80012 5760 5759Plaquemines USA 29494 -89706 4308 4307Pohang KOR 36020 129404 5144 5144Point Tupper CAN 45604 -61368 5552 5551A-3

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 74: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

Port Alfred CAN 48334 -70875 6179 6178Port Arthur USA 29843 -93961 4433 4432Port Everglades US 26084 -80114 4208 4207Port Hueneme USA 34149 -119208 24 21Port Kembla AUS -34463 150899 6569 6567Port Klang MYS 3000 101383 7836 7837Portland USA 43653 -70243 5387 5385Praia Mole BRA -20283 -40233 7149 7148Prilo ITA 36716 14829 8287 8286Prince Rupert CAN 54295 -130356 1375 1376Progreso MEX 21276 -89702 3992 3991Puerto Quetzal GTM 13922 -90792 2049 2048Puerto Vallarta ME 20659 -105245 1107 1106Punta Arenas CHL -53168 -70908 5835 5834Punta Arenas CRI 9982 -84807 2503 2502Punta Cardon VEN 11624 -70233 3631 3630Punta Gorda BLZ 16100 -88800 3718 3717Punta Morales CRI 10066 -84967 2511 2510Pusan KOR 35109 129059 5192 5193Qingdao CHN 36096 120317 5656 5656Quintero CHL -32780 -71524 4760 4759Recife BRA -8047 -34865 6405 6404Redwood City USA 37511 -122211 367 367Redwood City USA 37511 -122211 367 367Richmond USA 37914 -122364 347 348Rodeo USA 38038 -122273 360 360Rosarito Beach MEX 32369 -117074 60 60Rotterdam NLD 51927 4298 7773 7772Russia 70000 164000 3709 3709Sakai JPN 32978 131915 5332 5332Salina Cruz MEX 16157 -95203 1799 1798Samani JPN 41947 143218 4367 4366San Diego USA 32684 -117161 52 52San Francisco USA 37789 -122401 342 342San Jose GTM 13916 -90846 2046 2045San Juan PRI 18436 -66096 3961 3960San Nicolas Bay Aruba 12907 -69907 3609 3608Sandakan MYS 5803 118059 7009 7009Santan IDN -0109 117470 7424 7424Santos BRA -23969 -46301 7663 7662Savannah USA 32111 -81126 4778 4777Seattle USA 47580 -122350 1111 1111Selby USA 38058 -122243 362 362Sendai JPN 38270 141022 4605 4605Sepetiba BRA -22986 -43698 4771 4771Shanghai CHN 31389 121516 5635 5635Shekou CHN 22471 113903 6387 6387Shimizu JPN 35014 138516 4858 4858Shimotsu JPN 34116 135133 5074 5074Singapore SGP 1293 103725 7633 7634Sriracha THA 13171 100920 7695 7695A-4

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1
Page 75: 2006 Expanded Greenhouse Gas Inventory - Port of … Expanded Greenhouse Gas Inventory Port of Los Angeles October 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY 1

Port of Los Angeles2006 Route Distances

Port Port Arrival DeparturePort Latitude Longitude Distance (nm) Distance (nm)

St Croix VIR 17714 -64885 3983 3982St Eustatius ANT 17478 -64885 3976 3975Stockton USA 37951 -121327 413 413Surabaya IDN -7206 112728 8052 8052Suva FJI -18153 178455 4818 4816Sydney AUS -33862 151193 6540 6538Tacoma USA 47267 -122407 1128 1128Taichung TWN 24258 120506 5976 5976Taiwan 24000 120000 6003 6003Taizhou CHN 32271 119436 5776 5777Talara PER -4573 -81279 3143 3142Tampico MEX 22237 -97834 4437 4436Tauranga NZL -37659 176178 5633 5631Ternate IDN 0778 127387 6574 6574Tianjin CHN 39009 117460 5873 5873Tokyo JPN 35625 139791 5147 5147Tonga JPN 34063 131746 5392 5392Topolobampo MEX 25594 -109054 1055 1054Ulsan KOR 35488 129387 5164 5164Valdez USA 61104 -146361 2002 2003Valparaiso CHL -33035 -71621 4768 4767Vancouver CAN 49298 -123074 1119 1119Vancouver USA 45635 -122706 928 928Vancouver USA 45635 122706 928 928Veracruz MEX 19206 -96131 4374 4373Victoria BRA -20323 -40336 7155 7154Wakayama JPN 34223 135133 5078 5079Xiamen CHN 24450 118022 6212 6212Xingang CHN 38983 117741 5860 5860Yanbu SAU 23958 38221 9791 9789Yantian CHN 22574 114267 6331 6332Yeosu KOR 34747 127757 5486 5487Yingkou CHN 40696 122236 5859 5860Yokkaichi JPN 34957 136649 4944 4944Yokohama JPN 35436 139668 5138 5138Zhanjiang CHN 21170 110410 7100 7100Zhuhai CHN 22240 113585 6372 6372

A-5

  • Executive Summary
    • ES1 Study Domains
    • ES2 Carbon Footprint Summary
      • Section 1 Introduction
        • 11 Background
        • 12 Purpose of Study
        • 13 Cargo Movements Included
        • 14 Greenhouse Gases
        • 15 The Bigger Picture Goods Movement amp Climate Change
        • 16 Climate Change Regulations amp Initiatives
        • 17 GHG Scopes
        • 18 Existing Port Inventories
        • 19 Geographical Extents
          • 191 Ocean-Going Vessels amp Harbor Craft
          • 192 Heavy-Duty Vehicles amp Rail Locomotives
          • 193 Cargo Handling Equipment
          • 194 Ocean-Going Vessels
          • 195 On-Road Heavy-Duty Vehicles
          • 196 Railroad Locomotives
              • Section 2 Ocean-Going Vessels
                • 21 Activity
                • 22 Methodology
                • 23 Emissions Estimates
                • 24 Facts amp Findings
                  • Section 3 Heavy-Duty Vehicles
                    • 31 Activity
                    • 32 Methodology
                    • 33 Emissions Estimates
                    • 34 Facts amp Findings
                      • Section 4 Rail Locomotives
                        • 41 Activity
                        • 42 Methodology
                        • 43 Emissions Estimates
                        • 44 Facts amp Findings
                          • Section 5 Port-Related Direct Footprint
                          • Copy of Draft POLA Expanded GHG OGV Route Distance Appendix (8 Oct 09) ram2pdf
                            • Sheet1