IMF - Granicus
Transcript of IMF - Granicus
IMF
DATE: October 15, 2018
TO: . Honorable Mayor and Members of the City Council through City Manager
FROM: Heather Hines, Planning Manager
SUBJECT: Continuance of the Safeway Appeal to a date certain of December 3, 2018
RECOMMENDATION
It is recommended that the City Council continue the Safeway Appeal to a date certain ofDecember 3, 2018.
BACKGROUND
The Safeway Fuel Center project proposes a new gas station on the 0. 71 -acre parcel located at335 South McDowell Drive in the Washington Square Shopping Center. The site is currentlydeveloped with a 13, 077 square foot commercial building which would be fully demolished tofacilitate the new development. The Safeway Fuel Center project includes installation of aneight pump ( 16 fueling positions) facility under a 5, 932 square foot fueling canopy with anadjacent 697 square foot convenience store. Site Improvements include, but are not limited to
landscaping, off street parking, an electric vehicle charging station and relocation of twounderground storage tanks. Primary access to the pumps is from the existing drive aisle in theshopping center with egress either onto Maria Drive via an existing curb cut or into the interiorof the shopping center via a new access at the northwest corner of the parcel. Queuing space for12 vehicles has been accommodated through placement of the fueling canopy. The project alsoincludes improvements to the eastside transit center consisting of an off-street pull out for thethree bus stops, shelters, benches, and landscaping and solar powered arrival sign. A moredetailed project description is available in the May
8th
Planning Commission staff report and inthe Initial Study ( IS) that can be found on the City' s website, www.cityofpetaluma.net ( link: http://petaluma. granicus. com/ GeneratedAgendaViewer. php?view_ id= 31 & clip_ id= 2578)
On June 26, 2018 the Planning Commission adopted Resolution No. 2018- 21A approving theMitigated Negative Declaration ( MND) and Resolution No. 2018- 21 approving the Site Plan andArchitectural Review ( SPAR) for the project. Consistent with the requirements of the
Implementing Zoning Ordinance ( IZO) Section 24. 070, JoAnn McEachin filed an appeal within14 days of the Planning Commission' s approval. The appeal was filed on behalf of the
McDowell Elementary School, Little League Children and East Petaluma Residents, and
included 15 additional signatures from members of the public. The grounds for appeal, outlined
in the Letter of Appeal, included: questioning the community need for the project; the proximityof the project to a day care, school and Little League ball park; traffic increase; project emissions
and health impacts; traffic safety; and public awareness of the project. Comments submitted onSeptember 14, 2018 by Soluri Meserve, counsel for the appellants, challenged both the PlanningCommission' s Site Plan and Architectural Review approval and approval of the project
Mitigated Negative Declaration.
The appeal hearing before the City Council was duly noticed for the September 17, 2018meeting. A large volume of public comment letters was received, including technical analysisprepared by qualified consultants on behalf of the Petaluma School District and the appellants, inthe days and hours leading up to the Council meeting. Due to the volume of public commentletters and new information received and given that there was insufficient time to adequatelyreview new materials, the Council continued the item, without opening a public hearing, toOctober 15, 2018.
DISCUSSION
Leading up to the September 17, 2018 City Council hearing, a number of additional commentletters and documents were received, including substantial new information. The followingsummarizes new information received:
1. Various comment letters from members of the public, the vast majority of which
expressed opposition to the project on a number of grounds including air quality/healthrisks, safety, and circulation/ traffic, while a few expressed support of the project.
2. On behalf of the Petaluma School District, Meridian Consultants conducted a review of
the IS/ MND prepared for the Safeway Fuel Center. Meridian Consultant' s letter
September 12, 2018) identified concerns with the analysis presented in the IS/ MND for
air quality/ health risks, greenhouse gas emissions, hazards and hazardous materials, noise, and transportation/ traffic.
3. On behalf of the applicant, Rutan & Tucker issued a September 14, 2018 letter
responding to concerns raised in the Meridian letter including supporting technicalanalysis prepared by. Illingworth & Rodkin ( Air Quality/ Health Risk, GHG and Noise) and CHS Consulting ( transportation).
4. On behalf of the appellant, Soluri Meserve issued a letter on September 14, 2018
including supporting technical analysis prepared by Phyllis Fox and Ray Kapahi, September 17, 2018 and Errata thereto dated September 17, 2018. The letter asserts that
the City Council should overturn the SPAR approval under its land use discretionary
authority, and that there is substantial evidence to support a fair argument that the projectmay have significant adverse environmental impacts and that therefore an EIR must beprepared. The supporting technical analysis contains a Health Risk Analysis using theAERMOD dispersion model, which concludes that cancer risks exceed thresholds of
significance (greater than 10. 0 in one million, assuming a 70 -year lifetime exposure).
The Bay Area Air Quality Management District (BAAQMD) issued a comment letter onSeptember 17, 2018 regarding the methodology utilized in the Health Risk Assessment
N
prepared by Illingworth & Rodkin for the Safeway Fuel Center. The letter provides noticethat BAAQMD' s modeling analysis procedures have changed since the project wasinitially permitted by the District and that the AERMOD dispersion model is nowrecommended instead of the ISCST3 model, which was used in the Health Risk
Assessment.
In considering this information, the City consulted with staff at BAAQMD to receive input onthe appropriateness of the methodology utilized in the HRA prepared by Fox and Kapahi. BAAQMD was provided with the HRA to review the methodology, assumptions, and resultspresented. A written response has not been received from BAAQMD to date but is expected thisweek.
Additionally, Staff received a response from the applicant and including a memo fromIllingworth & Rodkin on behalf of Safeway in response to the Fox Report and the BAAQMDcomment letter. That response was received after business hours on October 10, 2018. The
applicant' s response is included as Attachment 2, however, it is important to note that the
document has not been reviewed by staff.
In order to allow review and consideration of forthcoming information by City staff, Citydecisionmakers, interested parties and members of the public, it is recommended that the CityCouncil continue the hearing on the Safeway appeal to December 3, 2018.
Public comments received throughout the proceedings related to the application are included in
prior staff reports. Public comments received since publication of the September 17, 2018 staff
report are included as Attachment 1.
Public notice for the September 17, 2018 City Council hearing was published in the ArgusCourier and mailed to all property owners and tenants within a 1; 000 -foot radius of the site andto 274 people on the interested parties list. Additionally, two public hearing signs were postedon the site in advance of the September 17, 2018 hearing. Because the appeal hearing wascontinued to October 15, 2018, re -noticing of the public hearing was not required. This will
continue to be the case if the Council accepts the recommendation to continue to December 3,
2018.
FINANCIAL IMPACTS
The appeal is a cost recovery project. The initial $235. 00 deposit was paid by the appellant uponsubmittal of the appeal while all additional costs of processing the appeal are paid by theapplicant.
ATTACHMENTS
1. Public Comment letters received after September 17, 2018
2. Applicant' s Response to Comments, October 10, 2018
No
ATTACHMENT 1
From: Crump, I< atie < I< CRUMP@ci. petaluma. ca. us>
Sent: Tuesday, October 9, 2018 8: 04 AMTo: - City Clerk <- CityClerl< @ci. petal uma. ca. us>
Cc: Heather Hines < hhines@m- 8roup. us>
Subject: FW: Say No to the Safeway Gas Station
From: Kevin Anderson [ mailto: kevin climate rotection. or9] Sent: Monday, October 08, 2018 12: 40 PMTo: CityCouncil
Subject: Say No to the Safeway Gas Station
Petaluma City Council,
Please do not allow the Safeway gas station to go up on the corner of S. McDowell and MariaDrive.
While seemingly a small, city -related issue, this is a metaphor for what we are facing as aspecies: Do we continue to allow fossil fuels to power our lives 1uZowing that there ISwidespread pollution (air, land, and water) with local and global ramifications.
While many point out the damage we are doing to future generations by leaving them a planetthat is increasingly polluted, this is a prime example of something that also will affect ourchildren here and now. Putting a gas station right across the street from schools and a parkWILL affect the community in negative ways; first and foremost, the children and families thatfrequent the area.
You have the power to take a stand and show that our community' s health and vitality is yourforemost concern.
Please consider NOT allowing this Safeway gas station to go forward.
Thanlc you for your time.
In gratitude,
Kevin Anderson
Kevin Anderson
ECO2School Program Coordinator
tittp:// v,vww, cliniatel) rotection. org
Phone: 707- 525- 16_65 x 122
Office: 831 Fourth Street; Santa Rosa, CA 95404
N- iailing: P. O. Box 3785, Santa Rosa, CA 95402
Original Message -----
From: Crump, Katie < KCRUMP@ci. petaluma. ca. us>
Sent: Tuesday, October 9, 2018 8: 04 AMTo: - City Clerk <- CityClerk@ci. petaluma. ca. us>
Cc: Heather Hines < hhines@m- graup. us>
Subject: FW: please no Safeway gas station in proposed location
Original Message -----
From: Erica Vertiz [ mailto: ericavertiz@aol. com]
Sent: Monday, October 08, 2018 2: 01 PMTo: CityCouncil
Subject: Re: please no Safeway gas station in proposed location
Dear Petaluma City Council,
I have lived in Petaluma since I was 5 years old. I am now 39 and I am raising my own son here.
My husband and I do not live near this Safeway on McDowell nor will be sending our son to McDowellElementary, however, I am getting involved because I strongly think this plan to build a gas station nextto two ( 2) schools is wrong. What about the kids? Petaluma is a strong and kind town. This is not whatwe are about!
I live by the Safeway where G& G use to be. 1 am so opposed to this that I I have already stoped shoppingthere( I use to goat least twice a week).
I ask you to please oppose the plan to build a Safeway Gas Station next to a preschool and elementaryschool. This is not safe.
In addition, North McDowell and South McDowell can' t handle anymore traffic.
Lastly, I have been told that someone from the planning department (who voted in favor of the gasstation) is on the board of the preschool? Is this correct? Could someone please confirm or deny?
Thank you for taking the time to read this email.
Sincerely,
Erica Vertiz a long time resident of Petaluma
1417 Yarberry LanePetaluma
Sent from my iPhone!
From: Iftil<har Ahmed < iftia92@gmail. com>
Sent: Sunday, October 7, 2018 3: 48 PM
To: peetalumaplanning@ci. petaluma. ca. us
Cc: maser@ci. petaluma. ca. us
Subject: Safeway gas station at the corner of Maria Dr., S McDowell Blvd
Warning: Use caution before clicking any attachments. THIS EMAIL IS FROM OUTSIDE OUREMAIL SYSTEM. ---
Dear Sir / Ma' am,
I am oppose to the gas station, and I am not associated to any gas station or any oil company.
My comments are attached here with.
Thank you,
Best of regards,
Sincerely yours,
Iftikhar Ahmed
e- mail address: iftia92@gmail. com
Ph : ( 707) 762- 8234
Address : 1283 McGregor Ave, Petaluma CA 94954
Sent from Mail for Windows 10
The appeal against the Safeway gas station has been denied.
Like any project, or any business enterprise there are always two angles to it. Or you can saypros and cons or simply put good and bad.
In this case there are lot more cons than pros, lot worse than good. The pros the proponents
are suggesting is only one cheaper gas. And for the city is traffic impact fee, that they willcollect from the applicant Safeway. The arguments of the residents who are for it, revolve
around cheaper gas nothing else.
But look at the cons, the bad:
1. Its proximity to the children day care center, to the youth baseball field, to the youthplaying field and not to mention the McDowell elementary school.
2. It is in the heart of the densely populated residential area.
3. We already have more than enough numbers of gas station in this small city ofPetaluma, there is no need of another gas station.
4. The increased traffic that the gas station will bring in the city, when already the city is
facing traffic congestion problem.
The AQMD (Air Quality Management District) has OK' d the project even though a teacher of
McDowell elementary School, who said during the last presentation of Safeway, that quite agood percentage of the students complain of breathing problems and Asthma during the allergy
season every year.
As far the traffic congestion problems are concerned, we already have on the streets of
Petaluma specially on the S McDowell Blvd and E Washington Street, Lakeville and EWashington street, and Lakeville and D Street. Will this gas station contribute to the
problems? The answer is very simple, this station not only will attract the residents of
Petaluma but also will attract the residents from the neighboring cities like Penn Grove,
Cotati, Rohn ert Park, and Santa Rosa, and not to mention Novato and San Rafael as well. I
don' t know if the representatives of Safeway have shown any studies quantifying how many
vehicles usually are there these days on the streets of Petaluma during the peak hours. Andhow many more vehicles will be there once the gas station starts. And, I don' t know if theplanning commission has done any study in this regard. Furthermore, I don' t know howmany of the representatives of Safeway live in Petaluma, and drive on the streets ofPetaluma on daily basis, going East and West, and from West to East. If they drive inPetaluma on daily basis, then they will know what I am talking about. Mayer and the citycouncil members should know. Not to mention Maria Dr, two lane street. How many
vehicles this small street can hold during peak hours, whose one side is S McDowell Blvd
and the other side is E Washington Street.
Safeway representatives have said throughout the process that their project is backed bypoll of 500 residents who regularly leave Petaluma to buy cheaper gas. Did the Safewayhave provided the proof of that poll to the council?
The other thing is that during the applicant' s presentation, a lawyer of Safeway threatened
the city with litigation if the project was denied. So, I have a question or comment, if thosesaid kids of McDowell Elementary School, who get breathing problem and Asthma during
the allergy season, if their sickness gets aggravated after the Safeway gas station is open, who should they sue Safeway gas station or AQMD? And no money would bring back theirhealth once they get severely sick.
From: Heather Hines
Sent: Thursday, October 04, 2018 10: 50 AMTo: Evelyn Ellis
Subject: FW: Safeway Gas Station
For the Safeway file
Original Message -----
From: Crump, Katie < I< CRUMP@ci. petaluma. ca. us>
Sent: Thursday, October 04, 20187: 14 AMTo: - City Clerk <- CityClerk@ci. petaluma. ca. us>
Cc: Heather Hines < hhines@m- group. us>
Subject: FW: Safeway Gas Station
Original Message -----
From: Stephanie Taylor [ mailto: taylors4@sbcglobal. net]
Sent: Thursday, October 04, 2018 7: 12 AMTo: CityCouncil
Subject: Safeway Gas Station
Dear Council Members,
I would like to express my absolute disapproval of the proposed Safeway Gas Station on S. McDowell and Maria Dr. I live5 blocks away, both walk and drive this corridor regularly so I will personally be impacted. However, the overallenvironmental impacts are my real concern and I concur with the primary argument that gas stations ( of which there arealready an abundance of) DO NOT BELONG IN THE IMMEDIATE VICINITY OF SCHOOLS. PERIOD.
So many young children on the East side of Petaluma are already impacted by their proximity to Hwy. 101 and theirincreased exposure to particulate matter from that source has been shown repeatedly to have significant respiratoryhealth impacts. As our elected representatives ( you do represent us - not private business interests) it is your job toprotect your constituents from these and other environmental risks. Does Petaluma not have a law against idling cars? The number of drive- throughs would suggest not; we need to change this. The population of the town is growing, weare all feeling the effects of that and most people are complaining about the diminishing quality of life here due totraffic.
Please do the RIGHT THING, consider the materials, briefs, arguments and evidence presented to you at the last councilmeeting and reject Safeway' s strong arm tactic ( threatening to sue the City if project is rejected). A full boycott of
Safeway should ensue for this threat alone.
Please be advocates for a new, healthier, more livable Petaluma and reject Safeway' s proposed gas station. We justdon' t need it and we don' t want it.
Thank you for your service to the community.
Sincerely, stephanie taylor.
City of Petaluma records, including emails, are subject to the California Public Records Act. Unless exemptions apply, thisemail, any attachments and any replies are subject to disclosure on request, and neither the sender nor any recipientsshould have any expectation of privacy regarding the contents of such communications.
October 3, 2018,
RE: Safeway Appeal, October 15111, 2018
Dear John, Mayor Glass and City Council Members,
At the June 26111 planning commission meeting a commissioner berated Safeway fornot having their information in both English and Spanish. Can we expect alldocuments for the Safeway Appeal to be required in both English and Spanish? Will
the city have a Spanish interpreter at the meeting? I would appreciate a quickresponse.
Thank you,
Janice Cader Thompson
C. c. Heather Hines
Petaluma City AttorneyNatalie Mattei
Joanne McEachin
Andrian Saslow
Chris Thomas
PHS Board members
Argus Courier
Press Democrat
Evelyn EllisSOMMINEEM
From: Heather Hines
Sent: Thursday, October 04, 2018 12: 11 PMTo: Evelyn Ellis
Subject: FW: Safeway Gas Station Appeal
For the Safeway file.
From: Crump, Katie < I< CRUMP@ci. petaluma. ca. us>
Sent: Tuesday, October 02, 2018 1: 53 PMTo: - City Clerk <- CityClerl<@ci. petaluma. ca. us>
Cc: Heather Hines < hhines@m- group. us>
Subject: FW: Safeway Gas Station Appeal
From: Adriann Saslow [ mailto• madamesaslow@gmail. comj
Sent: Tuesday, October 02, 2018 1: 45 PMTo: CityCouncil
Subject: Safeway Gas Station Appeal
Dear City Council,
Please do not let Safeway built their gas station. They aren' t a good neighbor. They aren' t doing it as a favor tous. They are out to make money. As a part of the No Gas Here coaliton, I have become more and more awareof the environmental issues with this mega -station and its impact on the school children & surrounding
neighbors. There is overwhelming opposition to this project from the people it will have the greatest affect on. No Gas Here has done our best to give the Council a legal way to turn down the project without gettingsued. Getting sued by Safeway seemed to be the only reason the Planning Commission ended up approving thisin the first place. But even if the City of Petaluma does get sued, maybe its worth it to take a stand for thevulnerable members of our community.
I will be at the City Council Meeting, at least for a while until I have to get home to my own small children.
Sincerely, Adrianti Saslow
Petaluma Resident
City of Petaluma records, including emails, are subject to the California Public Records Act. Unless exemptions apply, thisemail, any attachments and any replies are subject to disclosure on request, and neither the sender nor any recipientsshould have any expectation of privacy regarding the contents of such communications.
Evelyn Ellis
From: Heather Hines
Sent: Thursday, October 04, 2018 12: 01 PMTo: Evelyn Ellis
Subject: FW: Safeway gas
For the Safeway appeal file
From: Crump, Katie < I< CRUMP@ci. petaluma. ca. us>
Sent: Wednesday, September 26, 2018 10: 06 AMTo: Heather Hines < hhines@m- group. us>
Cc: - City Clerk <- CityClerl< @ci. petaluma. ca. us>
Subject: FW: safeway gas
From: Jonathan Ruf [ mailto: jonoruf gmail. com]
Sent: Wednesday, September 26, 2018 9: 59 AMTo: CityCouncil
Subject: safeway gas
Greetings,
We recently moved to Petaluma, and part of our choice in where to live was the fact there is a school and parkin the neighborhood ( directly across the street from where we live), and it is pretty slow and quiet. A Safewaygas station will change all of that.
You have already been informed of the health effects such a project entails, and there is plenty of science toback up the harmful effects of auto emissions, especially to the young, elderly, and people with compromisedimmune systems. My wife lacks a gene receptor that helps humans to filter and detoxify toxins from your bodyShe will feel and manifest the effects from an increase in emissions in the neighborhood. Furthermore, Icommute via bicycle and a massive increase in traffic will increase the safety risks for cyclists and pedestriansalike (as well as drivers!).
The welfare of the people should supplant the welfare ( read bottom line) of corporations. EPA law states such aproject this close to schools is unlawful. The people who live in the neighborhood do not want it. Allowing sucha project to go through would be on its face completely undemocratic.
The people who live in the neighborhood, who send their children to school here, should be the one' s deciding, because it is us who will suffer the impacts from the increase in health and safety risks from the safeway gasstation.
Thank you for your time,
Jono Ruf
City of Petaluma records, including emails, are subject to the California Public Records Act. Unless exemptions apply, thisemail, any attachments and any replies are subject to disclosure on request, and neither the sender nor any recipientsshould have any expectation of privacy regarding the contents of such communications.
c .
Evelyn Ellis
From: Heather Hines
Sent: Thursday, October 04, 2018 11:52 AMTo: Evelyn Ellis
Subject: FW: Proposed gas station
For project file
From: Crump, Katie < KCRUMP@ci. petal uma. ca. us>
Sent: Monday, September 24, 2018 8: 55 AMTo: Heather Hines < hhines@m- group. us>
Cc: - City Clerk <- CityClerl<@ci. petaluma. ca. us>
Subject: FW: Proposed gas station
From: Kailea Frederick[ mailto• kailea. sonrisa( a)gmail. com]
Sent: Saturday, September 22, 2018 4: 48 PMTo: CityCouncil
Subject: Proposed gas station
Hello,
I am a Petaluma Resident and I don' t want a Safeway Gas Station in WashingtonSquare. Having the traffic and pollution next to the preschool, elementary school, softball fields, and homes is not a good environment for our children. Please do not allow a gas station to be
built here!
Thank you,
Kailea Frederick
Facilitator, Earth Is' Ohana
WIN w. earth i sohana. con3
City of Petaluma records, including emails, are subject to the California Public Records Act. Unless exemptions apply, thisemail, any attachments and any replies are subject to disclosure on request, and neither the sender nor any recipientsshould have any expectation of privacy regarding the contents of such communications.
Evelyn Ellis
From: Heather Hines
Sent: Thursday, October 04, 2018 11: 49 AMTo: Evelyn Ellis
Subject: FW: Gas station
For Safeway file
Original Message -----
From: Crump, Katie < I< CRUMP@ci. petaluma. ca. us>
Sent: Monday, September 24, 2018 8: 08 AMTo: Heather Hines < hhines@m- group. us>
Cc: - City Clerk <- CityClerl<@ci. petaluma. ca. us>
Subject: FW: Gas station
Original Message -----
From: loanna clark [ mailto: loannaclarl< @icloud. comj
Sent: Thursday, September 20, 2018 6: 10 PMTo: CityCouncil
Subject: Gas station
To whom it may concern, In this day and age when illogical decisions seem to be being made by
many politicians it is difficult to believe our very own Petaluma City Council would think it' s OK and viable to put a gasstation in that location. By my count we have a minimum of 15 gas stations within the city limits so this is clearly notabout Community need. Now as far as what revenue it may bring to the city I can' t say but to put it in this location withso many young people that study and do sports plus even older citizens that live on South McDowell etc. even I as a layperson am familiar with studies as to just how detrimental gas fumes and by products of auto traffic are to them. Theyalready are exposed to what my guess is the upper limit exposure anyway. We already have semi trucks using McDowellas a substitute for a Hwy. I have lived in Petaluma for over 30 years and I have seen a lot development most of which Ihave understood but this is negligent and I will vote accordingly.
If for some reason I am missing something you can email me back otherwise the above statement stands. Sincerely
Loanna Clark
Sent from my iPhone
City of Petaluma records, including emails, are subject to the California Public Records Act. Unless exemptions apply, thisemail, any attachments and any replies are subject to disclosure on request, and neither the sender nor any recipientsshould have any expectation of privacy regarding the contents of such communications.
John Cinnamon737 North Webster St.
Petaluma, California 94952- 1734
707) 202- 4359 Cell ( 916) 591- 5691
john. b. cinnamon@gmail. com>
September 18, 2018
Petaluma City CouncilCity Clerk, Claire Cooper, CMC SEP 2 a 201811 English Street
Petaluma, CA 94952 CITY C LE R K
Re: Appeal of Planning Connrission' s Approval of a Service Station in the Washington SquareShopping Center in the immediate vicinity of the North Bay Children' s Center, Petaluma ChildDevelopment Center, McDowell Elementary School and McDowell Park
Mayor Glass and Members of tine Council:
Submitted for consideration by the Counciland to made a part of the record in the matter of such appeal
Background
In the 1960s while I was out of state completing my education, my father died while my threesisters were still in grainipar.andhigh school.,My.iuother, long out of the -workforce, requiredemployment. Her age and inexperience worked against her in this regard until Safeway, then
operating a regior;al-v"'areliouse and distribution' ccnter in Sacramento, gave her a' chance. Safeway. trained her in the use of the then computer technology and, until reaching mandatoryretirement age, my mother was a valued, productive and content Safeway employee. When Safeway absorbed the former C & C market, I observed the enlightened and fair treatment
received by the Q & C staff who became members of the Safeway team. Interactions over the past several years with COTS, the Salvation Army, The Food Bank, etc.
disclose that Safeway has been a responsible Sonoma County citizen with regard to feeding thosewith inadequate resources in our communities.
I am not unaware that Safeway and most conventional large- scale grocery retailers are undersiege from the big -box retailers who aie able to sell product at price levels unsustainable byconventional retailers. I understand that the availability of ancillary services and products to itscustomers as a meansici attract them to their stores, is essential - for continued profitability. - I
understand too, that Sateway has found that offering gasolene for its customers' vehicles hasbeen one of these successful ancillary services.
I am myself presently aud'plan to continue to be a regular Safeway customer.
Accordingly, i regard myself as having no negative disposition toward Safeway, its management or its
gasolene sales business generally.
Proposed Service Station
Tt is my view however, that:failure' fo reverse tlie-'actioir of,'the Planning C6mmis9i6n allowing -theproposed site for Safeways: Petahuna - station Nvill, be `an egregioiis dereliction ofyour dutyto ,actin the
Petaluma City Council September 18, 2018
City Clerk, Claire Cooper, CMC
Page 2
common good. The arguments against such a business enterprise in the proxin7ity of the school,
children' s and child development centers and park are well known to you, need not be repeated here, and
are, to my mind, compelling.
I am also aware of the City' s' elvonically precarious financial reality, of the potential cost associated with
defending any litigation that Safeway may bring, and of the projected lost sales and property tax
revenues, development fees and perhaps other potential economic advantages to our City.
Nonetheless, there is a time that these considerations must be secondary to doing what is the " right thing"
for our children' s health and safety, our cornmunity and our future. I respectfully request that you do so
in this instance and sustain this appeal thereby denying the construction of a service station at this
location.
7Cinnamon
Original Message -----
From: tonya parnak < tonyaparnak@yahoo. com>
Sent: Tuesday, October 09, 2018 12: 55 PMTo: - City Clerk <- CityClerk@ci. petaluma. ca. us>
Subject: Gas stations vent far more toxic fumes than previously thought
Warning: Use caution before clicking any attachments. THIS EMAIL IS FROM OUTSIDE OUR EMAILSYSTEM. ---
Dear City Council Members,
Please read the following research article that just came out on Oct. 4th, from Columbia University' sMailman School of Public Health. Thank you for your time!
Sincerely, Tonya Parnak
Article copied below from the following website without the pictures: https:// Phys.org/ news/ 2018- 10-gas- stations-vent-toxic-fumes. html .
October 4, 2018, Columbia University' s Mailman School of Public Health
Gas stations vent far more toxic fumes than previously thought
A study led by environmental health scientists at Columbia University Mailman School of Public Healthexamined the release of vapors from gas station vent pipes, finding emissions were 10 times higher thanestimates used in setback ... more A study led by environmental health scientists at Columbia UniversityMailman School of Public Health examined the release of vapors from gas station vent pipes, findingemissions were 10 times higher than estimates used in setback regulations used to determine how close
schools, playgrounds, and parks can be situated to the facilities. Findings appear in the journal Science of
the Total Environment.
Gasoline vapors contain a number of toxic chemicals, notably benzene, a carcinogen.
The researchers attached gas flow meters to venting pipes at two large gas stations in the Midwest and
Northwest and took measurements over a three- week period. They report average daily evaporative
losses of 7 and 3 gallons of liquid gasoline, respectively, or 1. 4 pounds and 1. 7 pounds per 1, 000 gallons
dispensed at the pump. By comparison, the California Air Pollution Control Officers AssociationCAPCOA) used an estimate of 0. 11 pounds per 1, 000 gallons. Based on CAPCOA emission estimates, the
California Air Resources Board ( CARB) determined their setback regulation of 300 feet ( 91 meters) from
large gas stations. Similar laws exist in many, but not all states and localities. In urban areas like NewYork City, some gas stations are located directly adjacent to apartment buildings. The study also simulated how the fuel vapor was carried in the air to assess the potential for short- andmedium- term benzene exposures, comparing their measurements to three established thresholds. TheCalifornia Office of Environmental Health Hazard Assessment one- hour Reference Exposure Level ( REL)
for benzene— defined as a continuous hour of exposure to the chemical— was exceeded at both gas
stations at distances greater than 50 meters. At the Midwest gas station, REL was exceeded on two
different days at distances greater than 50 meters, and once as far as 160 meters. The Agency for Toxic
Substances and Disease Registry' s Minimal Risk Level ( MRL) for benzene exposure over a periodbetween two weeks and a year was exceeded within 7 or 8 meters of the two gas stations. A less
stringent measure used for short- term exposures of first responders, the American Industrial Hygiene
Association' s Emergency Response Planning Guidelines ( ERPG), was not exceeded. We found evidence that much more benzene is released by gas stations than previously thought. In
addition, even during a relatively short study period, we saw a number of instances in which peoplecould be exposed to the chemical at locations beyond the setback distance of 300 feet," said first author
Markus Hilpert, Ph. D., associate professor of Environmental Health Sciences at the Columbia Mailman
School. " Officials should reconsider their regulations based on these data with particular attention to
the possibility of short spikes in emissions resulting from regular operations or improper proceduresrelated to fuel deliveries and the use of pollution prevention technology."
In previous work, Hilpert and colleagues documented the release of gasoline as fuel is stored and
transferred between tanker trucks, storage tanks, and vehicle tanks, and how these spills can
contaminate the surrounding environment. Next, the researchers will explore additional short- termmeasures of vapor spread to determine the bounds of safe setbacks.
Explore further: Small spills at gas stations could cause significant public health risks over time More
information: Markus Hilpert et al, Vent. pipe emissions from storage tanks at gas stations: Implications
for setback distances, Science of The Total Environment ( 2018). DOI: 10. 1016A.scitotenv.2018. 09. 303
Read more at: https:// phys.org/ news/ 2018- 10- gas- stations- vent- toxic- fumes. html# iCp
RUTANRUTAN & TUCKER, LLP
October 10, 2018
VIA EMAIL AND FEDERAL EXPRESS
Heather Hines
Planning ManagerCity of Petaluma11 English Court
Petaluma, CA 94952
ATTACHMENT 2
Matthew D. Francois
Direct Dial: ( 650) 798- 5669
E- mail: mfi-ancois@i- utan. comiutan. com
Re: Safeway Fuel Center Project— Responses to Comments of Bay Area Air
Quality Management District and Phyllis Fox/ Ray Kapahi
Dear Ms. Hines:
We write on behalf of our client, Safeway, Inc., regarding the proposed Safeway FuelCenter Project ( the " Project") at 335 S. McDowell Boulevard ( the " Property") in the City ofPetaluma ( the " City"). We write to provide responses to the September 17, 2018 comments from
the Bay Area Air Quality Management District (" BAAQMD") and Phyllis Fox and Ray KapahiFox/ Kapahi") on the health risk assessment (" HRA") prepared by Illingworth & Rodkin, an
expert air quality consulting firm, for the Project.
As you know, the Project has been reviewed by the City for nearly six years and was thesubject ofnumerous studies prepared by expert consultants as well as a detailed mitigated negativedeclaration (" MND") prepared by M -Group, the City' s contract planning staff. One of the
supporting studies is the HRA. Employing conservative assumptions and accepted methodologiesper federal, state, and local guidelines, the HRA concludes that the Project meets all thresholds
and will result in less than significant impacts with respect to community risk for all categories ofsensitive receptors.
After continuing its May 8, 2018 hearing to obtain more information regarding air qualityand traffic, and to allow additional review by Petaluma City Schools, the Planning Commissionapproved the Project on June 26, 2018. On July 9, 2018, an appeal of the Planning Commission' saction was filed by JoAnn McEachin and others. The appeal was originally scheduled for
consideration by the City Council at its September 17, 2018 hearing. .
On September 14, 2018, the City received a comment letter from Patrick Soluri on behalfof JoAnn McEachin and No Gas Here, a recently -formed super political action committee, whichwas followed on September 17, 2018 by a comment letter on the HRA from Fox and Kapahi. OnSeptember 17, 2018, the City also received a comment letter from BAAQMD on the HRA.
In its comment letter, BAAQMD recommends use of the American Meteorological Society
Regulatory Model (" AERMOD") instead of the Industrial Source Complex Short -Tenn 3
ISCST3") model to evaluate the Project' s health risk impacts. BAAQMD also requests that a
RUTANRUTAN 6 TUCKER, LLP
Heather Hines
October 10, 2018
Page 2
health risk analysis of workers/ teachers at nearby schools be performed. Fox/Kapahi likewise
assert that the AERMOD model should have been used and purport to include a health risk
assessment indicating that the Project will result in significant cancer risks at nearby sensitivereceptors.
As explained in the October 10, 2018 response from James Reyff of Illingworth & Rodkin,
attached hereto as Exhibit A, ISCST3 is a U. S. EPA -approved and BAAQMD- recommended
model. It was used since there is representative meteorological data readily available for Petalumathat is suitable for use with that model. It is also the model that was used for every recent Petalumaproject for which a quantitative health risk analysis was prepared.
Nonetheless, in response to BAAQMD and Fox/ Kapahi, and at further expense to Safeway, Illingworth & Rodkin contracted with Lakes Environmental to develop a custom meteorologicaldata set for the Project site and conducted a supplemental health risk analysis using the AERMODmodel. This supplemental analysis evaluated the health risk to residents, school children, and
workers/ teachers. As with the original analysis using the ISCST3 model, the supplementalanalysis using the AERMOD model concludes that the Project meets all thresholds and will notresult in any significant impacts related to health risk.
In preparing the AERMOD analysis, it was discovered that the HRA analysis overstatedthe health risk associated with constructions emissions by using standard default values instead ofassuming the use of Tier 2 construction equipment. Neither City staff, BAAQMD, nor Fox/Kapahiraised this issue in their comments on the HRA. Since the Planning Commission conditioned theProject to use Tier 3 construction equipment, the updated analysis assumes the use of Tier 3
equipment under both model scenarios.
As also explained in Illingworth & Rodkin' s response, the commenters' claims of
significant impacts are based on speculative, unsubstantiated, unsupported, and erroneous
assumptions. Specifically, Fox/Kapahi wrongly base their analysis on Santa Rosa wind data asopposed to Petaluma data even though analysis of health risk is heavily dependent on the use ofcorrect meteorological information. Commenters also . overestimate diesel emissions by anapproximate factor of ten by overestimating the amount of diesel sales and number of vehicles aswell as by incorrectly averaging the emission rate for all vehicle types. Commenters likewise
overstate the amount of benzene emissions, citing higher emission factors from another air district, and then modeling even higher emissions than the cited values.
The Fox/ Kapahi comment letter asserting that the Project will result in significant impactsis based on argument, speculation, unsubstantiated opinion, clearly inaccurate and erroneousinformation, and evidence that is not credible. As a result, the letter does NOT constitute
substantial evidence of a fair argument that the Project may result in a significant environmentalimpact. ( Public Resources Code §§ 21080( e), 21082. 2( c); CEQA Guidelines §§ 15064( f)(5), and
15384; Friends of B̀" Street v. City ofHayward ( 1980) 106 Ca1. App. 3d 988.) As such, the Cityinust adopt the MND for the Project. ( Public Resources Code §§ 21080( c), 21064. 5; CEQA
2696/ 031700- 0001
12940707. 1 a10/ 10/ 18
RUTANRUTAN 6 TUCKER. LLP
Heather Hines
October 10, 2018
Page 3
Guidelines §§ 15063( b)( 2), 15064( f)(3); Parker Shattuck Neighbors v. Berkeley City Council2013) 222 Cal.App.4th 768, 785.)
Thank you very much for your assistance on this matter. Please do not hesitate to contactme with any questions regarding the enclosed information.
Very truly yours,
RUTAN & TUCKER, LLP
Matthew D. Francois
MDF: mtr
cc ( via email only):
Natalie Maffei
John Brown
Eric DanlyDavid Glass
Olivia Ervin
Adam Petersen
Teresa Barrett
Shirlee Zane
Duncan Campbell
Yvette DiCarlo
Kevin Oei
David Vintze
Barry Young
2696/ 031700- 0001
12940707. 1 a10/ 10/ 18
Him
kLt1iVG11 oRTH& Romwfl Acoustics • Air Quality ll
429 E. Cotati Ave
Cotati, California 94931
Tel: 707- 794- 0400 Fax: 707- 794- 0405
www.illingworthrodIcin. com illro@illingworthr• odlcin. coin
Date: October 10, 2018
To: Natalie Mattei
Senior Real Estate Manager
Albertsons Companies
11555 Dublin Canyon Road
Pleasanton, CA 94588
From: James A. ReyffIllingworth & Rodkin, Inc.
429 E. Cotati Ave
Cotati, CA 94931
RE: Safeway Fuel Center CEQA document - Petaluma, CA
SUBJECT: Safeway Fuel Center Health Risk Assessment - Response to Comments made
by BAAQMD and Phyllis Fox/ Ray Kapahi Z20")
This memo provides our response to comments regarding the Petaluma Safeway gas station projectProject") made by ( i) the Bay Area Air Quality Management District (" BAAQMD") in a letter
dated September 17, 2018 and ( ii) Phyllis Fox and Ray Kapahi in a report dated September 17, 2018, 1
Responses to BAAQMD letter dated September 17, 2018
In the introduction of its letter, BAAQMD states that its review addressed stationary sources. Itshould be noted that the Health Risk Assessment for the Project (" HRA") addressed construction
emissions, evaporative emissions from transfer and storage of gasoline, and emissions from Projecttraffic.
Use of ISCST3
As explained below and in previous responses, Industrial Source Complex Short -Term 3
ISCST3") is a U.S. EPA -approved and BAAQMD- recommended model. Nonetheless, in
response to the BAAQMD and Fox/ K apahi letters dated September 17, 2018, Illingworth & Rodkin contracted with Lakes Environmental to develop a custom meteorological data set for the
I Continents on the Initial Study/ Mitigated Negative Declaration ( IS/ MND) for the Safeway Fuel Center Petaluma, California
Memo to Natalie Mattei
October 10, 2018 — Page 2
Project site and conducted a supplemental health risk analysis using the American MeteorologicalSociety ( AMS)/ EPA Regulatory Model (" AERMOD"). That supplemental analysis, attached
hereto as Exhibit A, similarly concludes that the Project meets all thresholds and will not result inany significant impacts related to health risk.
Please see responses to Meridian comments regarding the use of the ISCST3 model, attached asExhibit B. Specifically, the ISCST3 model was used since there is representative meteorologicaldata readily available for Petaluma that is suitable for use with that model. ISCST3 is a U. S. EPA - approved dispersion model and is included in BAAQMD' s Tools and Methodologies section of
their website as Recommended Methods for Screening and Modeling Local Rislfs and Hazards. This document describes in detail how to screen and model risk and hazards from stationary,
highway, and roadway sources. It also discusses the assumptions and methodologies used indeveloping the stationary source, highway, and roadway screening tools for use in CEQA studies. The website was last checked on 10/ 10/ 2018.
Volume Sources
BAAQMD recommends using two volume air sources ( or 8) of the same size that the HRA used. One (or 4) would be for refueling and the other one ( or 4) would be for spillage. The HRA used8 sources ( 4 for refueling and 4 for spillage) with one-fourth of the emissions assigned to eachrather than two or four). Therefore, the recommended technique would yield the same results.
ESA Memo dated Mav 7, 2018
Based on BAAQMD' s letter dated September 17, 2018, it appears that BAAQMD was in receipt
ofESA' s memo dated May 7, 2018 as well as Illingworth & Rodkin' s response to ESA dated May8, 2018, which is attached herein as Exhibit C.
BAAQMD states that the HRA should be analyzed at 25. 71 million gallons unless the City limitsthe Project permit to 8. 5 million gallons as studied in the HRA. Safeway estimates that they wouldnever exceed 8. 5 million gallons. In response, the City has conditioned the Project to the annual8. 5 -million -gallon throughput studied.
The HRA evaluated the impact to sensitive receptors with respect to CEQA thresholds identified
in the BAAQMD CEQA Air Quality Guidelines. It was pointed out in the response to ESA
comments that teacher risks would be less than the child/ student risk and that the most conservative
evaluation of health risk would be for a child at the nearby preschool. Nonetheless, an analysis ofteacher/worker risk is included in the supplemental analysis attached as Exhibit A.
BAAQMD concurs that use of the full 2015 State Office of Environmental Health Hazards
Assessment (" OEHHA") health risk assessment procedures would provide conservative results
and would be acceptable for CEQA purposes. This was the methodology used by the HRA.
BAAQMD concurs with Illingworth & Rodkin' s responses regarding receptor height andpollutants of concern. ( See Exhibit C.) Comment noted.
Memo to Natalie Mattei
October 10, 2018 — Page 3
Responses to Fox-Kapahi Comments dated September 17, 2018
In sections 1 and 2 of their letter, Fox and Kapahi (" Commenters") claim that they prepared ahealth risk assessment (" Fox/ Kapahi HRA") that identifies significant health risks at nearbysensitive receptors. The primary response is that the Fox/ Kapahi LIRA is based on faultyassumptions for diesel vehicle idling. In addition, they used poor dispersion modeling techniquesand overestimated benzene emissions. As such they significantly overestimate actual emissionsand resulting impacts, resulting in false claims of significant impacts.
Benzene and Dispersion Modelin
The HRA used benzene emission factors that were based on the latest California Air Resources
Board (" CARB") guidance (described in the report) and were the same factors used by BAAQMDto compute effects for the facility' s permit (note that BAAQMD based their emissions on 25. 71million gallons of annual throughput). The HRA computed 34 pounds of benzene emitted per year
using the same benzene emission factor BAAQMD used for the Project' s Authority to Constructpermit. The Commenters used emission factors from the San Joaquin Valley Air Pollution ControlDistrict (" SJVAPCD") that predict 43 pounds per year ( see Commenter' s Table 1). However, a
review of the Commenters' modeling output shows that they modeled 49 pounds of benzene withno explanation for the discrepancies between the emissions computed and those modeled ( seeCommenter' s Exhibit C — Excerpts of HARP2 Risk Model). BAAQMD' s emission factors are the
appropriate factors to use for the Project, which is located within this air district.
Air Dispersion Model
The Commenters' dispersion modeling used the AERMOD model claiming it is the U.S. EPA' sprimary model for permitting. However, as this is a CEQA study of health risks that addressesthresholds identified in the BAAQMD CEQA Air Quality Guidelines and as explained in the HRAand subsequent responses to comments, use of ISCST3 with local Petaluma meteorological data
is appropriate. The Commenters used AERMOD with meteorological data from Santa Rosa,
which experiences different meteorological conditions and is not appropriate for the Project site.
ISCST3 with local Petaluma meteorological data reflects an appropriate analysis for this Project.
As stated by the Commenters, the wind patterns are very different in Petaluma and Santa Rosa. Thus, the results of the Commenters' modeling have no bearing on potential impacts that couldoccur from the Project in Petaluma. As such, any modeling results or impacts cited by theCommenters are meaningless and only provide speculative, unsubstantiated and unsupportedresults.
As stated above, Illingworth & Rodkin conducted a supplemental health risk analysis using theAERMOD model. That supplemental analysis, attached hereto as Exhibit A, similarly concludesthat the Project will not result in any significant impacts related to health risk. Exposure Duration: Operating Hours
In addition, the Commenters modeled the Project as operating 24 hours per day. This would
increase impacts because late night and early morning have relatively poor dispersioncharacteristics. As outlined in the Project MND, the proposed hours of operation for the Project
are 6: 00 a.m. to 11 p.m. Therefore, the Commenters' modeling is inaccurate and overstated.
Memo to Natalie Mattei
October 10, 2018 — Page 4
Furthermore, the Commenters suggest that the annual PM2. s concentration from construction
activity ( of 0. 21 ug/ m3) should be increased proportionally with an increase in hours of operationthat would not be occurring during construction) from 19 hours to 24 hours and that concentration
should then be rounded upward to equal the threshold of 0. 3 ug/ m3. The hours of operation of the
Project, once constructed, have no bearing on the PM2. 5 concentration from construction activitiesthat would occur prior to operation of the Project. The Commenters' proposed approach is not
credible. In addition, the threshold for annual PM2.5 concentration is whether or not a project' scontribution would exceed 0. 3 ug/ m3, which the Project does not.
Type of Fuel
The HRA modeled this Project based on the sale of gasoline. In the event diesel fuel is sold,
Safeway estimates that would account for no more than 4 percent of the sales. A supplemental
analysis was conducted to account for the effects of diesel fuel sales from the Project. These
calculations were based on the same methodology used for other vehicles but applying DPMemissions to light- and medium -duty diesel vehicles that would be at the facility and transiting thearea. Based on projections using the EMFAC2014 model travel assumptions, these would makeup 3. 6 percent of the total vehicles.
As explained in previous responses, diesel fuel, unlike gasoline, has low reactive organic gasROG") emissions, and therefore, emissions from storage, transfer, and dispensing would be
negligible. Idling diesel vehicles would be a source of diesel particulate matter (" DPM")
emissions. Based on the HRA' s vehicle emissions modeling ( contained in the report attachments), the mix of light and medium duty diesel vehicles would comprise almost 4 percent ( also noted bythe Commenters).
The Fox/ Kapahi HRA overestimates diesel emissions by an approximate factor of 10. This
obviously skews their resulting health risk assessment.
First, they erroneously estimate 924, 405 vehicles per year would be served by the Project. Bymisrepresenting " trips" for " vehicles", the Commenter overstates emissions. Unlike vehicles, a
trip refers to a single vehicle entering and exiting a site. Vehicles idling would be at least one- halfthat number and that is if all vehicles are assumed to idle for 5 minutes before fueling for everyhour of the day. This is an error that results in emissions at least 2 times higher.
Second, the Commenters assumed that diesel sales would comprise 12 percent of all fuel sales
based on total retail sales from CEC data for Solano County. This station would only serve light - and medium -duty vehicles in Sonoma County. Fleet and large trucks (or haul trucks), which makeup much of the vehicle travel in Sonoma County, would not be fueling at this station. Safewayestimates diesel sales as up to 4 percent, which is in line with CARB' s EMFAC2014 model thatpredicts 3. 6 percent and was used in the HRA. It is also conservative in that diesel sales at
comparable Safeway gas stations in Pleasant Hill and Campbell only average approximately 2percent of sales. Commenters' error in projections of diesel sales results in emissions that are
over 3 times higher.
Third, in computing the grams per mile emission rate, the Commenters simply averaged the
Memo to Natalie Mattei
October 10, 2018 — Page 5
emission rate for all vehicle types ( see their Table 2). The LDT vehicle type, which accounts for
very high emission rates because most of these vehicles are quite old, has a very small fraction oftravel. The Project HRA more accurately based the vehicle emission rate calculations proportionalto the vehicle miles traveled ( i.e., proportional to their use relative to other vehicles) by the typesof vehicles that would be accessing the gas station. The Commenters' error in averaging theemission rate for all vehicle types results in emissions that are 2 tinges as high.
Exnosure Duration
The HRA was first prepared and submitted in 2014 and addressed the 70 -year exposure period.
Subsequently, OEHHA released new guidance in 2015 that recommends a 30 -year exposure periodwith more protective modeling assumptions for infants and children. Based on numerous
discussions with BAAQMD, these assumptions were applied in the Project HRA. When
permitting new gasoline fueling sources, which only applies to the source being permitted ( i.e., benzene from gasoline dispensing facilities or GDFs), BAAQMD still applies the 70 -year exposureperiod and less protective exposure parameters. The HRA was updated to apply the new OEHHAguidance to all sources for the purposes of this CEQA analysis. As pointed out by BAAQMDcomments, this yields more conservative results. BAAQMD' s Air Toxics NSR Prop-ain HealthRisk Assessment Guidelines ( December 2016); Section 2. 1. 1. 3 describes the exposure durations
that BAAQMD relies upon to make risk management decisions.
It should be noted that neither of the daycare facilities provide care for children younger than two
2) years of age ( i.e., they have no infants present). For school children, the Commenters
suggested a 18 -year exposure period where they assume North Bay Children' s Center acceptsinfants and that students attending the daycare or schools would live across the street. This wasaddressed in previous responses attached hereto as Exhibit C. The analysis concluded that anysuch cumulative health exposure risks would likewise be less than significant.
Finally, the Commenter' s appear to have erroneously used a 70 -year exposure period that is basedon OEHHA' s 2003 risk assessment guidance but applied the full set of the newer more
conservative 2015 OEHHA exposure parameters in the HARP2 model that are intended to applywith the 30 -year exposure. As discussed in the project HRA, BAAQMD has adopted the 2015
OEHHA exposure parameters, health effect values and age sensitivity factors using 30 -yearexposure duration for sensitive receptors. Essentially, the Commenter' s analysis included 40years of additional exposure beyond what is recommended by the BAAQMD
and CARB. BAAQMD' s September 17, 2018 comment letter noted it was acceptable to either
use the 70 -year exposure ( 2003 risk guidance) for only gasoline stations health risk ( and not trafficor construction) or it would be conservative and acceptable to use the current 2015 OEHHA risk
guidance method for all such factors. The Commenters' analysis combined both methods to
achieve the highest outcome.
Construction Emissions
The Commenters state that with regard to construction emissions the same sensitive receptors will
be present in the same locations during both construction and operation of the Project and that theHRA failed to include exposures that would occur during the construction phase of the Project, thus underestimating health risks. This claim is erroneous. In the HRA, the construction health
Memo to Natalie Mattei
October 10, 2018 — Page 6
risk impacts were clearly discussed and the maximum impacts identified in Table 2 of the HRA. Additionally, as clearly shown in Table 3 of the HRA, the maximum construction impacts wereincluded with, and added to, the maximum operational health impacts from the Project in order to
evaluate the overall maximum health impacts from construction and operation of the Project.
Furthermore, the HRA did not include the effect of control measures that Safeway included in theirproject description ( i.e., BAAQMD basic control measures and use of Tier 2 diesel construction
equipment) that substantially reduce construction impacts.
Health Risk Assessment and Emissions
The Commenters state that the OEHHA guidelines require that output from the AERMOD model
be entered into the HARP2 model to estimate health risks. The Commenters also state that the
calculations in the HRA did not follow standard HRA procedures and guidelines cited in the HRA.
Commenters are incorrect on both claims.
OEHHA identifies the HARP2 model as a software tool that can be used for health risk
assessments, but it does not require its use. The HRA used the procedures outlined in the OEHHA
and BAAQMD guidance for calculating cancer risk and other non -cancer impacts. The details ofthe cancer risk calculations are provided in Attachment 1 of the HRA for construction emissions
and Attachment 2 for operational emissions. The tables provided in the attachments include a
description of the calculations used, a listing of the specific exposure parameters and values usedfor the calculations, identification of the maximum modeled toxic air contaminant (" TAC")
concentrations used for the calculations, and the results of the calculations for each year of
exposure. The methods and equations used exposure parameters and values that are based on
OEHHA and BAAQMD guidance.
Moreover, as noted above, Illingworth & Rodkin conducted a supplemental health risk analysis
using the AERMOD model. That supplemental analysis, attached hereto as Exhibit A, similarlyconcludes that the Project will not result in any significant impacts related to health risk
Modeling Grid
The Commenters state that the HRA fails to disclose the location( s) of nearby sensitive receptors, points of maximum impact, or how they were identified. They also state that the HRA fails todisplay the results of its analysis on a map or identify the physical locations of the sensitivereceptors. Again, Commenters are incorrect with respect to these claims.
The physical locations of the nearby residential receptors, McDowell Elementary School receptorsand receptors at the preschools were identified from aerial mapping and are clearly shown in Figure1 of the HRA. Additionally, the locations where maximum health impacts (maximum cancer risk, maximum PM2. 5 concentration, and maximum non -cancer health impacts) for residential
receptors and school child/ dayeare receptors occur are also identified in Figure 1. The age of
children present at the daycare facilities was provided by the City of Petaluma Planning Staff andconfirmed by Safeway.
Since a health risk assessment is an assessment of chronic exposures, the receptor selection
included locations where children and residents would spend extended periods of time. Outdoor
Memo to Natalie Mattei
October 10, 2018 — Page 7
areas would have relatively short exposure periods.
It is worth noting that the Commenters did not identify the type or location of sensitive receptorsused ( residential or school/ daycare child) in their modeling and did not identify the points ofmaximum impact in the modeling figures they provided in their report ( Fox/ Kapahi HRA, Figures4 and 5).
The Commenters claim that it is common practice to summarize health risks on isopleths maps
and that the absence of an isopleths map deprives the public and potentially affected parties ofdetermining if they are at risk.
Isopleths of cancer risk and PM2. 5 concentration are a useful way of graphically depicting the areaand extent of potential impacts from a project. The presentation of isopleths in a HRA is not a
regulatory requirement, rather, it is a useful means of presenting the results of the HRA. For thisProject, the maximum cancer risk and PM2. 5 impacts were below significance levels. Thus, there
were no areas where significant impacts would occur and the use of isopleths would not show anyareas of significant impact. Additionally, for the HRA modeling, individual sensitive receptorlocations were used with the modeling to identify the specific locations where sensitive receptorscould be potentially affected. Typically, if isopleths are going to be calculated, a large grid ofreceptors encompassing, the entire project area is needed to provide sufficient data resolution inorder for creating accurate isopleths. Thus, isopleths were not used as part of the presentation ofhealth impacts.
HRAs for Similar Facilities
The screening health risk analysis for the Cottle Safeway was conducted in 2012 and used theCARB' s Land Use and Air Quality Handbook and older emission factors developed by CAPCOAin 1997 that does not account for current control features that further reduce benzene emissions
from gasoline dispensing facilities. This effect was explained in Illingworth & Rodkin' s response
to ESA Comments on the HRA (Exhibit B). Furthermore, the analysis for the Cottle Safeway wasa screening level assessment to demonstrate that there would be no significant health risks. The
analysis also stated that " Subsequent to the CEQA process, BAAQMD would confirm this effect
prior to issuing their regulatory permit to construct such a facility, under Regulation 8, Rule 7." The Cottle gas station applied to BAAQMD in 2013 and subsequently opened in 2014 withappropriate permits.
Use of Dispersion Modeling and Evaluation of Community Health Risks in RecentEnvironmental Projects in Petaluma
Based on the City of Petaluma Planning Division' s website listing recent major developmentprojects ( http:// cityofpetaluma.net/ edd/ major- projects. html), the following projects were
identified:
Sid Commons Apartment Project (January 2018)* Davidson/ Scott Ranch Revised Draft Environmental Impact Report ( March 2018)*
Cagwin & Dorward Project ( June 2017)*
Memo to Natalie Mattei
October 10, 2018 — Page 8
Spring Hill School Project (August 2017) North River Apartments Project ( August 2017)
Brody Ranch Residential Project September 2016)*
Of these six projects, four of them ( identified in the list with a *) had quantitative health risk
assessments prepared that utilized air quality dispersion modeling to evaluate impacts to addressthe exposure ofsensitive receptors to substantial pollutant concentrations. The remaining projectsdid not have detailed health risk assessments prepared. Potential health risks from these projects
were evaluated using health risk screening methods or qualitatively discussed. Each of the projectsis briefly discussed below.
Sid Commons Apartment Proms
The health risk assessment for this project relied on a previous study prepared for the project in2014. The air quality dispersion modeling for the 2014 study used the ISCST3 dispersion modelto calculate DPM concentrations for use in evaluating health impacts.
Davidson/ Scott Ranch Revised Draft Environmental Impact Report.
A Draft Environmental Impact Report was prepared for a residential development with 66 single-
family homes. A detailed health risk assessment was prepared to evaluate health impacts from
project construction activities. The air quality dispersion modeling for the study used the ISCST3dispersion model with 1990 — 1994 meteorological data from the Petaluma Airport to calculate
DPM concentrations for use in evaluating health impacts.
Cerin & Doi -ward Project.
An Initial Study/ Mitigated Negative Declaration was prepared for a new office/ landscapemaintenance operations facility including a 22, 724 square foot building for approximately 100employees, as well as parking for maintenance, trucks and trailers, and shop and warehouse spacefor vehicle maintenance. The project includes a 19, 440 square foot office building, and 2, 340square foot warehouse. A detailed health risk assessment was prepared to evaluate health impactsfrom project construction activities. The air quality dispersion modeling for the study used theISCST3 dispersion model with 1990 — 1994 meteorological data from the Petaluma Airport to
calculate DPM concentrations for use in evaluating health impacts.
Spring Hill School Project. An Initial Study/Mitigated Negative Declaration was prepared for the project which includes a 9to 12 month construction project to demolish an existing building and construct a new 7, 869 squarefoot building for classroom instruction at a middle school. Construction of the project would occurover a 9 to 12 month period. In addition to students at the Springhill School itself, the Valley Vista
Elementary School and Petaluma Junior High School are located directly northeast and west of theproject site, respectively. Residential land uses are also located in the nearby vicinity of the projectsite. Potential health risks to school children at the project site or other schools, as well as for
nearby residents, were not evaluated.
North River Apartments Project.
An Initial Study/ Mitigated Negative Declaration was prepared for the construction of twoapartment buildings. The nearest sensitive receptors to the project are elementary school studentsat a school that is 250 feet from the project site and residences that are about 175 feet west of the
Memo to Natalie Matted
October 10, 2018 — Page 9
project site. Although the project will have construction equipment exhaust PM10 emissions
diesel particulate matter, DPM) of 0. 22 tons per year during construction, which are 5. 4 timeshigher than,those for the Safeway Gas Station Project construction equipment, a quantitative healthrisk evaluation was not performed to assess health impacts on the elementary school students or
nearby residents. Health risks were stated to be a less than significant impact, without
quantification.
Brody Ranch Residential Project.
An Initial Study/ Mitigated Negative Declaration was prepared for this residential developmentproject with 199 residential units. A detailed health risk assessment was prepared to evaluate
health impacts from project construction activities. The air quality dispersion modeling for the
study used the ISCST3 dispersion model with 1990 — 1994 meteorological data from the Petaluma
Airport to calculate DPM concentrations for use in evaluating health impacts.
Summary
Based on review of recent City of Petaluma projects and to the best of our knowledge theAERMOD air quality dispersion model has not been used for modeling potential impacts from anyCEQA project in the City of Petaluma. This is primarily due to the lack of available, localmeteorological data needed by the AERMOD model. In lieu of using the AERMOD model, theISCST3 model is an EPA -refined dispersion model that is considered an alternative model that can
be used when approved by the reviewing regulatory agency ( i. e. BAAQMD).2
The current
BAAQMD modeling guidance recommends the use of either the AERMOD or ISCST3 modelsfor CEQA related health risk assessments. 3
Nonetheless, as noted above, Illingworth & Rodkin conducted a supplemental health risk analysis
using the AERMOD model. That supplemental analysis, attached hereto as Exhibit A, similarlyconcludes that the Project will not result in any significant impacts related to health risk
2 Guideline on Air Quality Models. Appendix W of 40 CFR Part 51. Recommended Methods for Screening and Modeling Local Risks and Hazards. Bay Area Air Quality Management DistrictBAAQMD). May 2012.
iiamionim
14
ILLIVGwoRTH& RommINC. WIN Acoustics • Air Quality ll
429 E. Cotati Ave
Cotati, California 94931
Tel: 707- 794- 0400 Fax: 707- 794- 0405
www. illingu, orthrodldn. com illro@illiiigworthrodldii. com
Date: October 10, 2018
To: Natalie Maffei
Senior Real Estate Manager
Albertsons Companies
11555 Dublin Canyon Road
Pleasanton, CA 94588
From: James A. ReyffIllingworth & Rodkin, Inc.
429 E. Cotati Ave
Cotati, CA 94931
RE: Safeway Fuel Center CEQA document - Petaluma, CA
SUBJECT: Safeway Fuel Center Health Risk Assessment — Updated Modeling Resultsusing U. S. EPA' s AERMOD Dispersion Model E# i, 13 205
This memo provides results of a newly -modeled health risk assessment (" HRA") for the Petaluma
Safeway Fuel Center (" Project") based on application of the U. S. EPA' s American Meteorological
Society (AMS)/ EPA Regulatory Model (" AERMOD") dispersion model. AERMOD is the U.S.
EPA' s preferred near -field dispersion modeling system, but requires enhanced meteorologicalinputs. The reasons for not using the AERMOD model previously were ( i) based on the lack ofsuitable meteorological data for the City of Petaluma ( while the Bay Area Air Quality ManagementDistrict [" BAAQMD"] provides suitable meteorological data for use in the Industrial Source
Complex Short -Term 3 [" ISCST3"] model, historically those data sets have not been suitable foruse in AERMOD), and ( ii) confirmation by BAAQMD and the City of Petaluma PlanningDepartment that use of the ISCST3 model was appropriate and acceptable for the Project.
Nevertheless, comments were received in September 2018 that suggested the AERMOD model
should have been used to assess the Project.
In addition, the updated modeling accounts for construction control requirements that include theuse of newer equipment with lower emissions. The September 2017 HRA assumed default
conditions.
Meteorological Data
In a letter from Phyllis Fox and Ray Kapahi dated September 17, 2018, a health risk assessmentofthe Project utilizing meteorological data from the City of Santa Rosa, California, was performed. Santa Rosa experiences different meteorological conditions than Petaluma and is not appropriate
for use at the Project site in Petaluma. Illingworth & Rodkin subsequently sought out
Natalie Mattei
Albertsons Companies
October 10, 2018 — Page 2
meteorological data for the City of Petaluma that could be used in AERMOD.
Recently, new U.S. EPA modeling guidelines ( 40 CFR Part 51, Appendix W, effective February16, 2017) allows the use ofprognostic meteorological data using the U.S. EPA' s Mesoscale ModelInterface Program (" MMIF") pre-processor to generate inputs for regulatory modelingapplications using the meteorological preprocessor model (" AERMET") and AERMOD.
Prognostic meteorological data can be used when ( i) there is no representative National Weather
Service station data available for use in developing AERMOD meteorological data, and ( ii) site- specific data are not available. The U. S. EPA recommends using no fewer than three years ofmeteorological data for modeling when using prognostic modeled derived data for AERMOD. This new option now provides the opportunity to develop meteorological data suitable forAERMOD that are representative of the Project site.
The Weather Research and Forecasting (" WRF") grid model was used to develop a 5 -year data set2013 through 2017) for meteorological conditions at the Project site. The WRF model pulls in
observations and archived meteorological model data from the region around the Project site, and
uses the same physical equations that are used in weather forecasting to model the historicalweather conditions at the specific project location. Development of this data set was performed
by Lakes Environmental using the WRF model and the MMIF program to process data for inputto the AERMOD meteorological data preprocessor, AERMET. The WRIT modeling uses a nested
grid with a 4 -kilometer grid spacing at the highest resolution ( inner grid).
The wind data produced can be illustrated by a windrose that illustrates the joint frequencydistribution of wind flow ( by direction and speed). The " petals" of the windrose extend in the
direction that wind flows from. The windrose developed for modeling with AERMOD iscompared against the windrose from the available meteorological data obtained from BAAQMD
and used in ISCST3. The two data sets are comparable with a slightly greater westerly componentand less of a northerly component) depicted with the AERMOD data set.
Sale of Diesel Fuel
The sale of diesel fuel, which was not considered in the original Project HRA, was included in this
updated analysis. The sale of diesel fuel would add emissions of diesel particulate matter (" DPM")
from customer vehicles that travel to and from the Project and potentially idle at the Project site. There are negligible evaporative emissions from storage and transfer of diesel fuel. The same
assumptions for gasoline vehicle activity (i.e., travel and idling activity) were applied to dieselvehicles.
Emissions from diesel vehicles were computed based on the default travel fractions that the
EMFAC2014 model produces for the assumed mix of vehicles that would be served by the Project. Note that the Project would not serve heavy- duty necks or buses as the station design does notaccommodate the circulation of large vehicles. The vehicle mix generated by EMFAC2014includes 3. 6 percent diesel vehicles. This is consistent with Safeway estimates of diesel fuel salesand is conservative in that diesel sales at comparable Safeway gas stations in Pleasant Hill andCampbell only average approximately 2 percent of sales.
Natalie Mattei
Albertsons Companies
October 10, 2018 — Page 3
Figure 1. Windrose for Petaluma
Assessment of Teachers
In accordance with CEQA and U. S. EPA guidelines, children at the preschools and nearby
residents were assessed as sensitive receptors. In September 2018, concerns were brought up aboutthe risk for preschool or school teacher/ workers. Although the exposure to teachers/ workers is
less than children and nearby residents, Illingworth & Rodkin assessed teachers/ workers in Table
1 below. The community risk impact to teachers/ workers is substantially below thresholds.
Construction Emissions
The 2017 HRA used unmitigated construction emissions computed using CalEEMod default
modeling conditions for the project. Safeway proposed a construction control plan that includedBAAQMD basic control measures for construction projects including use of Tier 2 dieselconstruction equipment along with a limit of diesel generator use. Subsequently, the PlanningCommission conditioned the project to use Tier 3 equipment. The updated modeling analysis
includes the effect of using diesel equipment that meets U. S. EPA Tier 3 standards.
Results of AERMOD Modeling
Table 1 provides results using the AERMOD model with diesel fuel sales and Table 2 providesthe original HRA results based on use of the ISCST3 model without diesel fuel sales. The results
shown in Table 1 demonstrate that the maximum Project health impacts would ( i) be consistent
with those results obtained using the ISCST3 model, and ( ii) below the applicable BAAQMDsignificance thresholds. The results from both the AERMOD and ISCST3 models conclude that
the Project will not result in any significant impacts related to health risk.
Figure 1 below shows the Project site, modeled truck and customer vehicle routes, sensitive
receptor locations used in the modeling, and locations where the maximum cancer risks and PM2.5
WRf 0, 41— w' dof : o17 Nil VP. d k'**°+ 6v«+.. a+( t+.,.t 6... rz, l04AtA PN><'° u+f a' ROII P-k M • WA& GN IIM, IPN) rrsn 7iIn-rvw i.' w v kamv)
iFY+ 1i1
MI
1
EaT
l1M1? 5in'
IY' A
Iti
41na=' f' tk4
Ir: xl
na
s5tn OfJ
vr. rn Ii v
tn- a. S liN
2013- 2017 data set produced for AERMOD at Project 1990- 1994 data set produced for ISCST3 for Petaluma
Site Municipal Airport 1 mile northeast of prqject site
Assessment of Teachers
In accordance with CEQA and U. S. EPA guidelines, children at the preschools and nearby
residents were assessed as sensitive receptors. In September 2018, concerns were brought up aboutthe risk for preschool or school teacher/ workers. Although the exposure to teachers/ workers is
less than children and nearby residents, Illingworth & Rodkin assessed teachers/ workers in Table
1 below. The community risk impact to teachers/ workers is substantially below thresholds.
Construction Emissions
The 2017 HRA used unmitigated construction emissions computed using CalEEMod default
modeling conditions for the project. Safeway proposed a construction control plan that includedBAAQMD basic control measures for construction projects including use of Tier 2 diesel
construction equipment along with a limit of diesel generator use. Subsequently, the PlanningCommission conditioned the project to use Tier 3 equipment. The updated modeling analysis
includes the effect of using diesel equipment that meets U. S. EPA Tier 3 standards.
Results of AERMOD Modeling
Table 1 provides results using the AERMOD model with diesel fuel sales and Table 2 providesthe original HRA results based on use of the ISCST3 model without diesel fuel sales. The results
shown in Table 1 demonstrate that the maximum Project health impacts would ( i) be consistent
with those results obtained using the ISCST3 model, and ( ii) below the applicable BAAQMDsignificance thresholds. The results from both the AERMOD and ISCST3 models conclude that
the Project will not result in any significant impacts related to health risk.
Figure 1 below shows the Project site, modeled truck and customer vehicle routes, sensitive
receptor locations used in the modeling, and locations where the maximum cancer risks and PM2. 5
Natalie Mattei
Albertsons Companies
October 10, 2018 — Page 4
concentrations occur for nearby residents and preschool/ school children. Note the modeled truckand customer vehicle routes depict the original circulation pattern with trucks and vehicles
accessing the site through Maria Drive. This is a conservative scenario as the PlanningCommission imposed conditions restricting truck and vehicles from accessing the site throughMaria Drive which is the point of entry closest to the elementary school and preschools. The
maximum cancer risks and PM2.5 concentrations for preschool or school teacher/ workers wouldoccur at the same location where the maximum impacts would occur for preschool/ school children.
Figure 1— Project Site, Sensitive Receptor Locations, Project Vehicle Travel Routes, and
Locations of Maximum Cancer Risk and PM2. 5 Concentrations
532800 532850 532900 532950 533000 533050 533100 533150 533200 533250 53330
UVA - East ( meters)
Natalie Mattei
Albertsons Companies
October 10, 2018 - Page 5
Table 1. Updated HRA Results Based on AERMOD Modeling
Receptor/ Source
Excess Cancer
Riskper million)
C nununity Risk Im' Annual PM2.5Concentration
M3)
act
Hazard Index
highest of Acute or
Chronic)
Residential ( 30 -year exposure
Construction Impacts 1. 06 0. 01 0. 00
Traffic TOG vehicle trips & idling) 1. 66 0. 00 0. 01
Traffic DPM vehicle trips & idling) 1. 38 0. 02 0. 00
Traffic DPM truck deliveries) 0. 03 0. 00 0. 00
Benzene fiom fuel evaporation) 1. 94 0. 00 0. 04
Total Project - Residential 6. 1 0. 03 0. 05
School Child ( 9 - year exposure)
School Child ( 9 -year exposure)
3. 2 0. 12 0. 02
Construction Impacts 1. 99 0. 07 0. 01
Traffic TOG vehicle trips & idling) 0. 14 0. 00 0. 02
Traffic DPM vehicle trips & idling) 0. 12 0. 01 0. 00
Traffic DPM truck deliveries 0. 01 0. 00 0. 00
Benzene from fuel evaporation) 0. 16 0. 00 0. 02
Total Project - School Child 4. 0 0. 08 0. 05
Worker - Teacher ( 25 -year exposure)
Construction Impacts 0. 20 0. 07 0. 01
Traffic TOG vehicle trips & idling) 0. 10 0. 00 0. 02
Traffic DPM vehicle trips & idling) 0. 09 0. 01 0. 00
Traffic DPM truck deliveries 0. 00 0. 00 0. 00
Benzene fiom fuel evaporation) 0. 11 0. 00 0. 02
Total Project - Worker - Teacher 0. 50 0. 08 0. 05
Si ni tcance Threshold Project 10 0. 3 1. 0
Table 2. HRA Results Based on ISCST3 Modeling
Receptor/ Source
Excess Cancer
Risk
per million)
Community Risk ImAnnual PM2.5Concentration
M)
act
Hazard Index
highest of Acute or
Chronic
Residential ( 30 -year exposure)
Construction Impacts 1. 4 0. 01 0. 00
Traffic TOG vehicle trips & idling) 1. 2 0. 02 0. 01
Traffic DPM truck deliveries 0. 02 0. 00 0. 00
Benzene from fuel evaporation) 1. 4 0. 00 0. 08
Total Project - Residential 4. 0 0. 03 0. 10
School Child ( 9 - year exposure)
Construction Impacts 2014 3. 2 0. 12 0. 02
Traffic TOG vehicle trips & idling) 0. 3 0. 01 0. 02
Traffic DPM truck deliveries 0. 01 0. 00 0. 00
Benzene from fuel evaporation) 0. 4 0. 00 0. 09
Total Project - School Child 3. 9 0. 13 0. 13
Si ni tcance Tlureshold Project 10 0. 3 1. 0
Attachment
Construction Health Risk Information
Safeway, Petaluma
Iwivi Uonstructton Emissions ana iviotienng Emission Rates - witn mitigation
Construction Homs
lir/ day = 9
days/ yr = 365
hours/ year = 3285
lam - 4pm)
rivtz. v ugitive t) ust uonstrucnon Emissions for mooeung - wun mitigation
DPM
Modeled Emission
Construction DPM Area DPM Emissions Area Rate
Year Activity ( ton/ year) Source ( lb/ yr) ( lb/ hr) ( g/ s) ( g/ s/ mz)
Emission
Construction Area PM2. 5 Emissions
2019 Construction 0. 0228 CON DPM 45. 6 0. 01388 1. 75E- 03 2, 956 5. 92E- 07
Construction Homs
lir/ day = 9
days/ yr = 365
hours/ year = 3285
lam - 4pm)
rivtz. v ugitive t) ust uonstrucnon Emissions for mooeung - wun mitigation
PM2.5
Modeled Emission
Construction Area PM2. 5 Emissions Area Rate
Year Activity Source ( ton/ year) ( lb/ yr) ( lb/hr) ( g/ s) zm) g/ s/ m z
2019 Construction CON ' FUG 0. 00071 1. 4 0. 00043 5. 45E- 05 2, 956 1. 84E- 08
Construction Homs
hr/ day = 9 ( lam - 4pm)
days/ yr= 365
hours/ year = 3285
Safeway - Petaluma - Construction Impacts
ISCST3 Modeling
Maximum DPM Cancer Risk Calculations From Construction
Off -Site Residential Receptor Locations - 1. 5 meters
Cancer Risk ( per million) = CPF x inhalation Dose x ASF x ED/ AT x FAH x I. OE6
Where: CPF = Cancer potency factor ( mg/ kg -day)-'
ASF = Age sensitivity factor for specified age groupED = Exposure duration ( years)
AT = Averaging time for lifetime cancer risk ( years) FAH = Fraction of time spent at home ( unitless)
Inhalation Dose = C,;, x DBR x A x ( EF/365) x 10- 6
Where: C,;, = concentration in air ( pg/ nt3)
DBR= daily breathing rate ( L/ kg body weight - day) A = Inhalation absorption factor
EF = Exposure frequency ( days/ year)
10- 6 = Conversion factor
Values
95th percentile hreathing rates for infants and 80th percentile for children and adults
Construction Cancer Risk by Year - Maximum Impact Receptor Location
Infant/ Child Adult
Age -> 3rd Trimester 0- 2 2- 9 2- 16 16- 30
Parameter
ASF = 10 10 3 3 1
CPF = 1. 10E+ 00 1. 10E+ 00 1. 10E+ 00 1. 10E+ 00 1. 10E+ 00
DBR*= 361 1090 631 572 261
A= 1 I I 1 1
EF = 350 350 350 350 350
AT= 70 70 70 70 70
FAH= 1. 00 1. 00 1. 00 1. 00 0. 73
95th percentile hreathing rates for infants and 80th percentile for children and adults
Construction Cancer Risk by Year - Maximum Impact Receptor Location
Third trimester of pregnancy
Fugitive Total
PD12. 5 PM2. 5
0. 0003 0. 009
Infant/ Child- ExposureInformatio Infant/ Child Adult - Exposure Information Adult
Modeled AgeExposure Age Cancer Cancer
DPM Cone ( ug/ m3) Exposure DurationDPM Cole( ug/ m3) Sensitivity Risk Sensitivity Risk
Year7 AnnualYear years) Age Year Annual Factor per million) Factor per million)
0 0. 25 0. 25 - 0* 10
1 1 0- 1 2019 0.0083 10 1. 36 2019 0.0083 I 0.02
2 1 1- 2 0.0000 10 0. 00 0. 0000 1 0.00
3 I 2- 3 0. 0000 3 0. 00 0.0000 1 0.00
4 1 3- 4 0.0000 3 0. 00 0.0000 I 0.00
5 1 4- 5 0. 0000 3 0. 00 0.0000 I 0.00
6 1 5- 6 0.0000 3 0. 00 0.0000 1 0.00
7 1 6- 7 0.0000 3 0. 00 0. 0000 1 0. 00
8 1 7- 8 0. 0000 3 0. 00 0. 0000 1 0. 00
9 1 8- 9 0. 0000 3 0.00 0. 0000 1 0. 00
10 1 9- 10 0. 0000 3 0. 00 0. 0000 1 0. 00
11 1 10- 11 0. 0000 3 0. 00 0. 0000 1 0. 00
12 1 11- 12 0. 0000 3 0. 00 0. 0000 1 0. 00
13 I 12- 13 0. 0000 3 0.00 0. 0000 1 0. 00
14 1 13- 14 0.0000 3 0. 00 0. 0000 1 0. 00
15 I 14- 15 0. 0000 3 0. 00 0.0000 1 0.00
16 1 15- 16 0.0000 3 0.00 0. 0000 I 0.00
17 1 16- 17 0.0000 1 0. 00 0. 0000 1 0.00
18 1 17- 18 0.0000 I 0. 00 0.0000 1 0. 00
19 1 18- 19 0.0000 1 0. 00 0. 0000 l 0. 00
20 1 19- 20 0. 0000 1 0. 00 0.0000 1 0.00
21 1 20- 21 0. 0000 1 0. 00 0. 0000 1 0.00
22 1 21- 22 0. 0000 1 0. 00 0. 0000 1 0.00
23 1 22- 23 0.0000 1 0.00 0. 0000 1 0.00
24 1 23- 24 0.0000 1 0. 00 0. 0000 1 0.00
25 1 24- 25 0.0000 I 0.00 0. 0000 1 0. 00
26 1 25- 26 0.0000 1 0.00 0. 0000 1 0. 00
27 1 26- 27 0.0000 1 0. 00 0.0000 I 0.00
28 I 27-28 0.0000 1 0. 00 0. 0000 1 0.00
29 1 28-29 0.0000 1 0. 00 0. 0000 I 0. 00
301
1 29- 30 0.0000 1 0. 00 0. 0000 1 0. 00
Total Increased Cancer Risk 1. 4 0. 02
Third trimester of pregnancy
Fugitive Total
PD12. 5 PM2. 5
0. 0003 0. 009
Safeway - Petaluma - Construction Impacts
ISCST3 ModelingMaximum DPM Cancer Risk Calculations From Construction
Daycare/ School Child Receptor Locations
Cancer Risk ( per million) = CPF x Inhalation Dose x ASF x ED/AT x FAH x I. OE6
Where: CPF = Cancer potency factor (mg/kg -day)-' ASF = Age sensitivity factor for specified age group „ ED = Exposure duration ( years)
AT= Averaging time for lifetime cancer risk (years) FAH = Fraction of time spent at home ( unitless)
Inhalation Dose = C.., x DBR x A x ( EF/ 365) x 10- s
Where: CoR= concentration in air ( gghn )
DBR = daily breathing rate ( lAg body weight -day) A= Inhalation absorption factor
EF = Exposure frequency ( days/ year)
104 = Conversion factor
Values
95th percentile breathing rates for infants and 80th percentile for children and adults
Construction Cancer Risk by Year - Maximum Impact Receptor Location
Exposure
Year
Exposure
Duration
years)
Infant/ Child
Infant/ Child
Cancer
Risk
per million)
Adult- Exposure Information
Adult
Age --> 3rd Trimester 0- 2 2- 9 2- 16 16- 30
Parameter
2019 0. 1129 3 3. 22
3. 22
2019
ASF = 10 10 3 3 1
CPF = 1. 10E+ 00 I. IOE+ 00 1. 10E+ 00 1. 10E+ 00 1. 10E+ 00
DBR* = 361 1090 631 572 261
A= 1 1 1 1 1
EF = 350 350 350 350 350
AT= 70 70 70 70 70
FAH = 1. 00 1. 00 1. 00 11. 00 0. 73
95th percentile breathing rates for infants and 80th percentile for children and adults
Construction Cancer Risk by Year - Maximum Impact Receptor Location
Exposure
Year
Exposure
Duration
years)
Infant/ Child - Exposure Informatio
Age
DPM Cone ( ug/ m3) SensitivityAge Year Annual Factor
Infant/ Child
Cancer
Risk
per million)
Adult- Exposure Information Adult
Cancer
Risk
per million
Modeled Age
SensitivityFactor
DPM Cone ( ug1m3)
Year I Annual2019 I 5- 6
Total Increased Cancer Risk
2019 0. 1129 3 3. 22
3. 22
2019 0. 1129 1 0. 32
0. 32
Fugitive Total
PD12. 5 PI%12. 5
0. 0051 0. 118
Safeway - Petaluma - Construction Impacts
AERMOD ModelingMaximum DPM Cancer Risk Calculations Front Construction
Off -Site Residential Receptor Locations - 1. 5 meters
Cancer Risk ( per million) = CPF x Inhalation Dose x ASF x ED/AT x FAH x I. OE6
Where: CPF = Cancer potency factor (mg/kg -day)-' ASF = Age sensitivity factor for specified age groupED = Exposure duration ( years)
AT = Averaging time for lifetime cancer risk (years) FAH = Fraction of time spent at home ( unitless)
Tnhalation Dose = C,;, x DBR x A x ( EF/ 365) x 10- 6
Where: C,;, = concentration in air ( pg/ m3)
DBR = daily breathing rate ( L/kg body weight -day) A = Inhalation absorption factor
EF = Exposure frequency ( days/ year)
166 = Conversion factor
Values
95th pe - mile breathing rates for infants and 80th percentile for child- and adults
Construction Cancer Risk by Year - Maximum Impact Receptor Location
Infant/Child Adult
Age -> 3rd Trimester 0- 2 2- 9 2- 16 16- 30
Parameter
ASF = 10 10 3 3 1
CPF = 1. 10E+ 00 1. 10E+ 00 1. 10E+ 00 1. 10E+ 00 1. 10E+ 00
DBR* = 361 1090 631 572 261
A= I I I 1 I
EF = 350 350 350 350 350
AT= 70 70 70 70 70
FAH = 1. 00 1. 00 1. 00 1. 00 0. 73
95th pe - mile breathing rates for infants and 80th percentile for child- and adults
Construction Cancer Risk by Year - Maximum Impact Receptor Location
Third trimester ofpregnancy
Fugitive Total
PM2. 5 PM2. 5
0. 0002 0. 0067
Infant/ Child - Exposure Infinmatitu Infant/ Child Adult - Exposure Information Adult
Modeled AgeExposure Age Cancer Cancer
DPM Cone ( ug/ m3) Exposure Duration DPM Cone ( u / m3) Sensitivity Risk Sensitivity Risk
Year AnnualYear years) Age Year Annual Factor per million) Factor per million)
0 0. 25 0. 25 - 0* 10
1 1 0 - 1 2019 0. 0064 10 1. 06 2019 0.0064 1 0.02
2 1 1- 2 0.0000 10 0.00 0.0000 1 0.00
3 1 2- 3 0.0000 3 0.00 0.0000 1 0.00
4 1 3- 4 0. 0000 3 0.00 0.0000 1 0.00
5 1 4- 5 0:0000 3 0.00 0.0000 1 0.00
6 1 5- 6 0. 0000 3 0. 00 0.0000 1 0.00
7 1 6- 7 0. 0000 3 0. 00 0.0000 1 0. 00
8 1 7- 8 0. 0000 3 0. 00 0.0000 1 0.00
9 1 8- 9 0. 0000 3 0. 00 0.0000 1 0.00
10 1 9- 10 0. 0000 3 0.00 0. 0000 1 0.00
11 1 10- 11 0. 0000 3 0.00 0.0000 1 0.00
12 I 11 - 12 0. 0000 3 0.00 0.0000 1 0. 00
13 1 12- 13 0. 0000 3 0. 00 0.0000 1 0.00
14 1 13- 14 0.0000 3 0.00 0.0000 1 0. 00
15 1 14- 15 0. 0000 3 0. 00 0. 0000 1 0.00
16 1 15- 16 0. 0000 3 0.00 0.0000 1 0.00
17 1 16- 17 0. 0000 1 0.00 0. 0000 1 0. 00
18 1 17- 18 0. 0000 1 0.00 0.0000 1 0. 00
19 1 18- 19 0. 0000 1 0.00 0.0000 1 0. 00
20 1 19- 20 0. 0000 1 0. 00 0. 0000 l 0. 00
21 1 20- 21 0. 0000 1 0.00 0.0000 1 0. 00
22 1 21- 22 0.0000 1 0.00 0. 0000 1 0. 00
23 1 22- 23 0. 0000 1 0.00 0. 0000 1 0. 00
24 1 23- 24 0.0000 1 0.00 0. 0000 1 0. 00
25 1 24- 25 0.0000 1 0. 00 0. 0000 1 0. 00
26 1 25- 26 0.0000 1 0. 00 0. 0000 1 0. 00
27 1 26- 27 0.0000 1 0. 00 0. 0000 1 0.00
28 1 27- 28 0.0000 1 0.00 0.0000 1 0.00
29 1 28- 29 0.0000 1 0. 00 0. 0000 1 0. 00
301
1 29- 30 0. 0000 1 0. 00 0. 0000 1 0. 00
Total Increased Cancer Risk 1. 06 0. 02
Third trimester ofpregnancy
Fugitive Total
PM2. 5 PM2. 5
0.0002 0. 0067
Safeway - Petaluma - Construction Impacts
AERMOD ModelingMaximum DPM Cancer Risk Calculations From Construction
Daycare/ School Child Receptor Locations
Cancer Risk ( per million) = CPF x Inhalation Dose x ASF x ED/AT x FAH x LOE6
Where: CPF = Cancer potency factor (mg/kg -day)-' ASF = Age sensitivity factor for specified age groupED = Exposure duration ( years)
AT = Averaging time for lifetime cancer risk ( years) FAH = Fraction of time spent at home ( mritless)
Inhalation Dose = C,;, x DBR x A x (EF/ 365) x 10
Where: C,;,= concentration inair ( pg/ m3)
DBR = daily breathing rate ( Llkg body weight - day) A = Inhalation absorption factor
EF = Exposure frequency ( days/ year)
10' 8 = Conversion factor
Values
95th pesentile breathing nat a for ini is and 80th percentile for children and adults
Construction Cancer Risk by Year - Maximum Impact Receptor Location
Exposure
Year
Infant/ Child Adult
Age —> 3rd Trimester 0- 2 2- 9 2- 16 16- 30
Parameter
ASF = 10 10 3 3 I
CPF= 1. 10E+ 00 1. 10E+ 00 1. 10E+ 00 1. 10E+ 00 1. 10E+ 00
DBR* = 361 1090 631 572 261
A= I I I I l
EF -
1350 350 350 350 350
AT= 70 70 70 70 70
FAH = 1. 00 1. 00 1. 00 1. 00 0. 73
95th pesentile breathing nat a for ini is and 80th percentile for children and adults
Construction Cancer Risk by Year - Maximum Impact Receptor Location
Exposure
Year
Exposure
Duration
years)
Infant/ Child - Exposure Informatio
Age
DPM Cone ( u / nr3) SensitivityAge Year Annual Factor
Infant/ Child
Cancer
Risk
per million)
Adult - Exposure Information Adult
Cancer
Risk
per million)
Modeled Age
SensitivityFactor
DPM Conc ( ug/ m3
2019 1 5- 6
Total Increased Cancer Risk
2019 0. 0697
13 1. 99
1. 99
2019 0. 0697 1 0. 20
0. 20
Fugitive Total
PX12. 5 PA12. 5
0. 0025 0.072
Operational Emissions Modeling, Dispersion Modeling Information, and Health Risk Calculations
Vehicle Idle Emissions From Queing at Gas Station
EMFAC2014 ( 0.0. 7) Emission Rates
Region Type: County
Region: Sonoma
Calendar Year: 2019
Season: Annual
Units: miles/ day forVMT, g/ mile for RUNEX, PMBW and PMTW
Assumed % CO2_ RUNEX(
Area CalYr ' Season Veh Fuel Speed VMT of Vehicles ROG_ RUNEX TOG_ RUNEX NOX_ RUNEX Pavley l+ LCFS) PM10_ RUNEX PM2_ 5_ RUNEX
Sonoma 2019 Annual LDA GAS 5 0. 58 0.0949 0. 1383 0. 1376 922. 5062 0. 0118 0. 0109
Sonoma 2019 Annual LDA DSL 5 0. 01 0.2849 0.3243 0.2861 721. 2901 0. 0918 0.0878
Sonoma 2019 Annual LDTS GAS 5 0. 05 0. 2184 0. 3153 0. 3473 1098. 2722 0. 0172 0.0158
Sonoma 2019 Annual LDT1 DSL 5 0 0. 9391 1. 0691 0.8146 957. 4096 0. 6896 0. 6598
Sonoma 2019 Annual LDT2 GAS 5 0.18 0. 1247 0. 1810 0.2264 1240. 5727 0. 0115 0. 0106
Sonoma 2019 Annual LDT2 DSL 5 0 0.2691 0. 3063 0. 1883 882. 2919 0. 0296 0. 0283
Sonoma 2019 Annual MDV GAS 5 0.12 0.2850 0. 3994 0.4497 1665. 3488 0. 0122 0.0112
Sonoma 2019 Annual MDV DSL 5 0 0.2141 0. 2438 0.1690 1094. 7699 0. 0240 0.0229
Sonoma 2019 Annual MCY GAS 5 0.01 13. 7447 16. 6018 1. 5620 543. 2175 0. 0104 0. 0097
Sonoma 2019 Annual LHDT1 GAS 5 0.02 0.49548 0. 71731 0. 85168 1400. 99808 0. 01178 0. 01083
Sonoma 2019 Annual LHDT1 DSL 5 0.02 0. 83210 0. 94729 3. 81068 1290. 25429 0.13931 0. 13328
Sonoma 2019 Annual LHDT2 GAS 5 0 0. 19449 0. 28380 0. 48389 1482. 32785 0.00715 0. 00657
Sonoma 2019 Annual LHDT2 DSL 5 0. 01 0.77184 0. 87869 2. 66373 1345. 06716 0. 09704 0. 09284
Sonoma 2019 Annual . 100%
0. 297 0. 388 0. 330 1093. 033 0.016 0. 015
IdleVehicle Emission Rate= 1. 486 1. 939 1. 651 5465. 165 0. 081 0. 076
gram/ hr based ao5 ph emEslan ratefor i hours mlles)
Assume 12 vehicles constantly Idling per peak demand hour= 17. 83 23. 27 19. 82 65581. 97 0. 98 0. 91
gram/ hr
Assume peak demand hour is SO% of dally emission rate= 178. 29 232. 68 198. 16 655819. 75 9. 77 9. 09
gram/ day
0. 07 0. 09 0.08 239. 16 0. 004 11. 104
tons/ yea r ( metric tons COie)
Source of Id le e missions ( from GARB, see http:// v . orb- gov/ msellmodeling. him)
Idling Emission Rates for EMFAC2011- LDV Vehicle Categoriesstep 1 - Extract 5 MPH Runnlog emission rates from Emission Rate Web Database at
http:/ A-.., b. ca. govt,p. b/ webapp// EM FAC2011W ebApp/. tesel. tl. nPage_ 3. JIP.
Step 2- CaWate the by model year IDV Idling emlW an rates by mult] pM, g the 5 MPH Runningemission rates by 5 klmlle X mile/ hr= g/ hr).
d Fd
Vehicle Idle Emissions From Clueing at Gas Station
EMFAC2014 ( v1. 0. 7) Emission Rates
Region Type: County
Region: Sonoma
Calendar Year: 2019
Season: Annual
Units: miles/ day for VMT, g/ mile for RUNEX, PMBW and PMTW
Area CalYr Season Veh Fuel Speed VMT
Assumed %
of Vehicles TOG Evap RL
Sonoma 2019 Annual LDA GAS 5 0. 58 0,048473207
Sonoma 2019 Annual LDA DSL 5 0. 01 0
Sonoma 2019 Annual LDT1 GAS 5 0. 05 0. 313470559
Sonoma 2019 Annual LDT1 DSL 5 0 0
Sonoma 2019 Annual LDT2 GAS 5 0, 18 0. 101229584
Sonoma 2019 Annual LDT2 DSL 5 0 0
Sonoma 2019 Annual MDV GAS 5 0. 12 0. 161045132
Sonoma 2019 Annual MDV DSL 5 0 0
Sonoma 2019 Annual MCY GAS 5 0. 01 1. 031992068
Sonoma 2019 Annual LHDT1 GAS 5 0, 02 0.928532625
Sonoma 2019 Annual LHDT1 DSL 5 0. 02 0
Sonoma 2019 Annual LHDT2 GAS 5 0 0. 390995228
Sonoma 2019 Annual LHDT2 DSL 5 0. 01 0
Average 5 mph Emission Rate 100% 0. 110
IdleVehicle Emission Rate = 0. 551
gram/ hr
Assume 12 vehicles constantly idling per peak demand hour = 6. 61
gram/ hr
Assume peak demand hour is 10% of daily emission rate = 66. 14
gram/ day
ource of idle emissions ( from CARE, see http:// www. arb. ca. govlmseilmodeling. htm )
cling Emission Rates for EMFAC2011- LDV Vehicle Categories
ep 1 — Extract 5 MPH Running emission rates from Emission Rate Web Database attp:// www. a rb. ca. gov/ jpub/ weba pp// EM FAC2011W ebApp/ rateSelectionPage_ Lisp.
ep 2— Calculate the by model year LDV Idling emission rates by multiplying the 5 MPH Running emission ratesj 5 ( g/ mile X mile/ hr = g/ hr).
Diesel Vehicle DPM Idle Emissions From Clueing at Gas Station
EMFAC2014 (v1. 0. 7) Emission Rates
Region Type: CountyRegion: Sonoma
Calendar Year: 2019
Season: Annual
Units: miles/ day for VMT, g/ mile for RUNEX, PMBW and PMTWAssumed
of Diesel DPM
Area CalYr Season Veh Fuel Speed VMT Vehicles PM2 5 RUNEX
Sonoma 2019 Annual LDA GAS 5 0 0. 0109
Sonoma 2019 Annual LDA DSL 5 0. 2077 0. 0878
Sonoma 2019 Annual LDT1 GAS 5 0 0.0158
Sonoma 2019 Annual LDT1 DSL 5 0. 0016 0. 6598
Sonoma 2019 Annual LDT2 GAS 5 0 0. 0106
Sonoma 2019 Annual LDT2 DSL 5 0. 0088 0.0283
Sonoma 2019 Annual MDV GAS 5 0. 0112
Sonoma 2019 Annual MDV DSL 5 0. 056 0. 0229
Sonoma 2019 Annual MCY GAS 5 0 0. 0097
Sonoma 2019 Annual LHDT1 GAS 5 0 0. 01083
Sonoma 2019 Annual LHDTS DSL 5 0. 5698 0. 13328
Sonoma 2019 Annual LHDT2 GAS 5 0 0. 00657
Sonoma 2019 Annual LHDT2 DSL 5 0. 1558 0. 09284
Sonoma 2019 Annual 100%
0. 111
IdleVehicle Emission Rate = 0. 556
based on 5 mph emission rate for 1 hour ( 5 miles) gram/ hr
Assume 0. 432 ( 3. 6% of 12/ hour) vehicles constantly idling per peak demand hour = 0. 24
4% of all vehicles are diesel) gram/ hr
Assume peak demand hour is 10% of daily emission rate = 2. 40
gram/ day
Hourly rate based on GDF operotion fc
Source of idle emissions ( from CARE, see http:// www. arb. ca. gov/ msei/ modeling. htm )
Idling Emission Rates for EMFAC2011- LDV Vehicle CategoriesStep 1 — Extract 5 MPH Running emission rates from Emission Rate Web Database at
http:// www. arb. ca. gov/ jpub/ webapp// EMFAC20ilW ebApp/ rateSelectionPage_ 1. jsp.
Step 2— Calculate the by model year LDV idling emission rates by multiplying the 5 MPH Runningemission rates by 5 ( g/ mile X mile/ hr = g/ hr).
lehicle DPM Exhaust Emission Factor Calculations
composite DPM Emission Factor ( g/ VMT)
No. diesel vehicle trips
35, 054
Total Project Veh Diesel VMT= 302645
Total Project Veh Gas VMT= 8196407 984, 405 = No. Total project trips/ year
Total Project Veh Type VMT= 8499052 3. 6% % diesel based on tf trips
Safeway, Petaluma - Operational Emissions - Customer Vehicle Travel DPM Emissions
Line
Source
Name
vehicle
Type
Diesel VMT Project Ann Diesel Veh DPM
Annual
Diesel VMT Fraction of Fraction of Diesel Veh Project Trips Emission
Vehicle Fraction All Diesel of All Proj Type Based on Factor
Type of Class VMT Vehicles VMT Distribution VMT Fraction g/ VMT)
LDA 0. 012541755 0.20769489 0.0073959 0. 208 7, 281 0. 024008291
LDT1 0. 002363006 0.00155173 0. 0000553 0. 002 54 0. 182301927
LDT2 0. 001406215 0.00882815 0.0003144 0.009 309 0.00937924
LHDT1 0. 545068081 0.56977774 0. 0202894 0. 570 19,973 0.046698045
LHDT2 0. 678912473 0. 155812 0.0055484 0. 156 5, 462 0. 034327422
MDV 0. 011766193 0. 05633521 0.0020061 0.056 1, 975 10. 008876395
0. 03781
11
1876 0. 36 0. 52 7. 48E- 05
Total 1. 00 0. 03561 1. 00 35,054
composite DPM Emission Factor ( g/ VMT)
No. diesel vehicle trips
35, 054
Total Project Veh Diesel VMT= 302645
Total Project Veh Gas VMT= 8196407 984, 405 = No. Total project trips/ year
Total Project Veh Type VMT= 8499052 3. 6% % diesel based on tf trips
Safeway, Petaluma - Operational Emissions - Customer Vehicle Travel DPM Emissions
Default EMFAC2014 vehicle mix for diesel vehicles ( LDA, LDT1, LDT2, LHDTI, LHDT2, and MDV)
Annual one- way trips
3 Emission factors developed from EMFAC2014 for Sonoma County
4 Station operation assumed to be from 5 am to 12 am, 365 days per year
Safeway, Petaluma - Operational Emissions - Fuel Delivery Truck DPM Emissions 2019
Line
Source
Name
vehicle
Type
Annual
Trips'
Daily
Operation
Schedule
los/day)
PM2. 5
Annual
Average Hourly Emissions( ih/ hr) 4
Annual Average
TOG Start
Exhaust
trip)
Line
Emissions
TOG
Exhaust
Number
Emissions Average Hourly
Operation
TOG
Starting
Exhaust
DPM Hourly
Factors'
Source Truck
Ib/year) Emissions ( lb/hr)4
Total
Factor' Schedule Travel Distance
Line
Emissions
Annual Operation' Round Trip
Name
Source Vehicle Diesel DPM Schedule Travel Distance Total Total
feet) miles) Route Name Type' Trips' VMT hrs/ da) DPM DPDI
West Route West Diesel 35, 054 0.0378 19 2695 0. 51 0. 75 1. 08E- 04
East Route East Diesel 35, 054 0.0378 19 1876 0. 36 0. 52 7. 48E- 05
Default EMFAC2014 vehicle mix for diesel vehicles ( LDA, LDT1, LDT2, LHDTI, LHDT2, and MDV)
Annual one- way trips
3 Emission factors developed from EMFAC2014 for Sonoma County
4 Station operation assumed to be from 5 am to 12 am, 365 days per year
Safeway, Petaluma - Operational Emissions - Fuel Delivery Truck DPM Emissions 2019
HHDT = heavy heavy duty truck
Annual trips - Based on 365 days of operation
l Emission factor from EMFAC2014 for Sonoma County for operation in 2019 and assumes all trucks me diesel.
4 Gas truck delivery hours assumed to be 24 hours per day, 365 days per year
Safeway, Petaluma - Operational Emissions - Customer Vehicle Travel
Route
Line
Source
Name
vehicle
Type
Annual
Trips'
Daily
Operation
Schedule
los/day)
PM2. 5
Annual Emissions( lb/ year) Average Hourly Emissions( ih/ hr) 4
Annual Average
TOG Start
Exhaust
trip)
Line
Total
PA12, 5
TOG
Exhaust
Number Total Emission Operation
TOG
Starting
Exhaust
DPM Hourly
miles)
Source Truck Vehicle Round Annual Factor' Schedule Travel Distance Emissions Emissions
feet) miles) Truck Route Name Deliver Type Trucks Trips' Waal) hrs/ da) lb/ ear) lb/ hr)
Gas truck Route TRUCKS Gas Station HHDT 2 730 0. 03221 24 3132 0.59 0. 031 3. 51E- 06
HHDT = heavy heavy duty truck
Annual trips - Based on 365 days of operation
l Emission factor from EMFAC2014 for Sonoma County for operation in 2019 and assumes all trucks me diesel.
4 Gas truck delivery hours assumed to be 24 hours per day, 365 days per year
Safeway, Petaluma - Operational Emissions - Customer Vehicle Travel
Route
Line
Source
Name
vehicle
Type
Annual
Trips'
Emissions Factors'
Operation
Schedule
los/day)
Round TripTravel Distance
Annual Emissions( lb/ year) Average Hourly Emissions( ih/hr)4Total
PM2. 5
M[ T)
TOG
Exhaust
h[ T)
TOG Start
Exhaust
trip)
TOG
Run Loss
V11ST)
Total
PA12, 5
TOG
Exhaust
TOG'
Starting
Exhaust
TOG
Running
Loss
Total
PDt2. 5
TOG
Exhaust
TOG
Starting
Exhaust
TOG
Running
Losse[) miles)
West Route
East Route
West
East
Default
Default
984, 405
984, 405
0. 0217
0. 0217
0. 0467
0. 0467
0. 2632
0. 2632
0. 1196
0. 1196
19
19
2695
76
0. 51
0. 36
12
8
26
18
286
286
66
46
1. 73E- 03
1. 21E- 03
3. 73E- 03
2. 60E- 03
4. 12E- 02
4. 12E- 02
9. 55E- 03
6. 65E- 03
Default EMFAC2014 vehicle mix for IDA, LDT, and MDT
Annual one- way trips
Emission factors developed fmm EMFAC2014 for Son,= County
4 Station ope, ntion assumul to be fiom 5 am to 12 am, 365 day peryear
starting emissions occur at gas station, assumed to occur once per round trip
EVALUATION REPORT
Safeway Fuel Center ; 83011
Facility TDr200026Application 4405215
S. McDoAvell Blvd & Maria Drive, Petaluma, CA 94954
BACKGROU\ I)
Safeway hie. has subulitted this application to construct a new gasoline dispensing facility — Safeway
Fuel Center # 3011
This station is within 1. 000 feet of McDowell Elementarlr School and the project increases Precursor
Organic Compound ( POC) and Benzene emissions. Thus, the projects trigger the Public Notice
requirements under California Health &C Safety Code and District' s Regulation 2- 1412.
The facility will be equipped with two ( 2) 20, 000. Qallon underground storage tanks, eight ( 8) triple - product gasoline nozzles Phase I CN=I EVR. Phase II VST Balance with Veeder Root Vapor Polisher and
Veeder- Root ISD EVR.
A Health Risk Screening Analysis ( HRSA) was perfoinied for this application indicates that a throughputof 25. 71 inillion- trallons per year is acceptable per District' s Risk Management Policy. Accordingly, thisstation will be conditioned to 25. 71 million gallons per year.
Before this project call be approved, a 30 -day public cormnent period will be held. Notice describing theproject and announcing the public comment period will be mailed to the parents of students attending theabove schools and residential and business neighbors within 1, 000 feet of the . station. The cost of
preparing and distributing this notice will be paid by the applicant.
EMISSIOi\ CALCULATIONS
Emission factors are taken from the Gasoline Service Station Industry -wide Risk Assessment Guidelines
developed by the California Air Pollution Officers Association' s ( CAPCOA) Toxics Cbuunittee_
Emissions of Precursor Organic Compound ( POC) include emissions from loading, breathing, refrftelingand spillage. The annual gasoline throughput of 25. 71 mlillion gal per year is based oil the results of the
Air Toxics Risk Screening.
Table 1 - Emissions Calculation
Pollutant Emissions Factors Emissions Emissions Emissions
lbAllousand ballon) lb/ day) lb, ear) ton year)
POC 0. 670 4719 17,_' 25. 7 8, 613
Benzene 0. 00369 0, 26 94, 87 0, 047
BEST AVAILABLE CONTROL TECHNOLOGY ( BACT
The proposed mutual throughput ennits more than 10 pounds of VOC in a single day. Thus the Best
Available Control Teclniolog.y ( BACT) requirement of Regulation 2- 2- 301 is triggered.
SACT for Gasoline Dispensing Facilities ( GDFs) is considered the use of C' ARB- certified Phase - I and
Phase -H vapor recovery equipment. r
Safeway Fuel Center 43011 will meet the requirement by using CNI EVR Phase I equipment and VSTBalance EVR Phase II equipment with the Veeder- Root Vapor Polisher and Veeder- Root ISD controls.
These two systems are certified by GARB raider Executii e Orders VR -104 and VR -204 respectively.
BEST AVAILABLE CONTROL TECHNOLOGY FOR TOXICS ( TRACT)
The expected increased health risk from this project exceeds 1 per million; triggering the use of TBACTequipment. TBACT for GDFs is considered the use of GARB - certified Phase - I and Phase- lI vapor
recovery equipment.
Safeway Fuel Center 03011 will meet this through the use of CNI EVR Phase I equipment and VSTBalance EVR Phase II equipment with the Veeder- Root Vapor Polisher and Veeder- Root ISD controls.
The two systems are certified by GARB under Executive Order VR -104 and VR -204 respectively.
HEALTH RISK SCREENING ANALYSIS ( HRSA)
An HRSA was required since the increased benzene emissions exceed the toxic air contaminant risk
triggering level specified in Regulation 2- 5 table 2- 5- 1. For a GDF that meets the TBACT requirement. itmust also pass the toxic risk screening level of less thavn ten in a million. The facility meets the riskstandards with 25. 71 mullion gallons of annual throughput.
PUBLIC NOTIFICATION
This Station is within 1, 000 feet of McDowell Elementary School and the project increases einnissions.
Thus, the projects trigger the Public Notice requirements under California Health S, Safety Code tend
District' s Regulation 2- 1- 412. Before this project can be approved, a 30 -day public continent period willbe held. Notice describing the project and announcing the public continent period will be mailed to the
parents of students attending the above schools and people living within 1, 000 feet of the station. The costof preparing and distributing this notice will be paid by the applicant-
Safeway, Petaluma - Operational Emissions - Gas Station Benzene Emissions
Annual
Gasoline Annual
Benzene
Emission Operation"
Benzene Emissions
Annual Average
Throughput ROG Emissions Factor Schedule Average Hourly
Source ( 10' gallons/ year) Ib/ year) Ib/ 103 Gallon) lirs/ day) lb/ year) lb/ hr)
16 -Pump Fuel Station 8, 500 5, 695 0. 00369 19 31. 4 0. 00452
Notes:
1. BAAQMD 2013. Authority to Construct for Permit Application No. 405215 at S. McDowell Blvd & Maria Drive, Petaluma, CA 94954. Dated October 10, 2013.
2. Daily operation hours assumed to be 5: 00 AM to 12: 00 AM, 365 days per year
Gas Station Modeling Emissions and Volume Source Parameters
Operation
Number of
Volume
Sources
Annual Eudssions lb
Total Average Number of Emissions Volume Source Dimensions Volume Source'
Percent of Hourly Emissions Volume per Volume meters) Release Height
Emission Source Total Emissions ( Ib/ hr) Sources Ib/ hr) Length Width Height meters)
Pefueling 67% 0. 0030 4 0. 00076 13. 0 13 4 1
Spillage 33% 0. 0015 4 0. 00037 13 13 4 0
Notes:
1. CAPCOA Air Toxics " Hot Spots" Program, Gasoline Service Station Industrywide Risk Assessment Guidelines, November 1997.
Safeway, Petaluma - Operational Emissions - Gas Station Customer TOG and PM2. 5 Emissions
Annual Operation
Number of
Volume
Sources
Annual Eudssions lb year)
Length
vera a Hour l Emissions Ob/ hour)
Height
PM2. 5 TOG TOG TOG PM2. 5 TOG TOG TOG
Vehicles Schedule Idle Idle Starting Running Total Idle Idle Starting Running
Source ( vehicles/ ear) rs/da) Exhaust Exhaust Exhaust Loss TOG Exhaust Exhaust Exhaust Loss
Customer Vehicles 492, 203 19 7. 30 186. 15 285. 61 54. 75 526. 51 0. 0011 0. 0268 0. 0412 0. 0079
votes:
1. Daily operation hours assumed to be 5: 00 AM to 12: 00 AM, 365 days per year
e
Emission Source
Average
Hourly EmissionsOh/ hr)
Number of
Volume
Sources
Emissions
per Volume
lb/ hr)
Volume Source Dimensions
meters)
Volume Source
Release Ht
meters) Length AVidth Height
Idle - PM2. 5 0.0011 1 0. 00105 20 20 2 1
Idle - TOG Exhaust 0. 0268 1 0. 02684 20 20 2 1
Idle - TOG Running Loss 0. 0079 1 0. 00789 20 20 2 1
Statting - TOG Exhaust 0. 0412 4 0. 01030 13 13 4 1
f '
Safeway, Petaluma
Health Risk Impact Summary - Project Operation
Maximum Cancer Risks
Maximum Non - Cancer Health Effects
Maximum Cancer Risks ( per million)
Total
DPM Benzene TOG Operational
Sensitive Receptor Type Vehicles GDF Total Cancer Risk
Off -Site Residential ( 30 -year exposure) 1. 41 1. 94 1. 66 5. 0
Daycare/ Student ( 9 -year exposure) 0. 12 0. 16 0. 14 0. 4
Daycare Worker/ Teacher ( 25 -year exposure) 0. 09 0. 11 0. 10 0. 3
Maximum Non - Cancer Health Effects
Maximum Chronic Hazard Index
Total
DPM Benzene TOG Hazard
Sensitive Receptor Type Vehicles GDF Total Index
Off -Site Residential ( 30 -year exposure) 3. 80E- 04 0. 010 0. 002 0. 012
Daycare/ Student ( 9 -year exposure) 2. 02E- 04 0. 005 0. 001 0. 006
Daycare Worker/ Teacher ( 25 - year exposure) 2. 02E- 04 0. 005 0. 001 0. 006
Maximum Acute Hazard Index
Total
DPM Benzene TOG Hazard
Sensitive Receptor Type Vehicles GDF Total Index
Off -Site Residential ( 30 -year exposure) 0. 044 0. 007 0. 051
Daycare/ Student( 9- year exposure) 0. 020 0. 019 0. 039
Daycare Workerfreacher ( 25 -year• exposure) 0. 020 0. 019 0. 039
Maximum Annual PM2. 5 ( gghn)
PM2. 5
PM2. 5 Customer Travel Total
Sensitive Receptor Type Trucks and Idling PM2. 5
Off -Site Residential ( 30 -year exposure) 0. 00004 0. 018 0. 018
Daycare/ Student ( 9 -year exposure) 0. 00005 0. 010 0. 011
Daycare Worker/ Teacher ( 25 -year exposure) 0. 00005 0. 010 0. 011
Safeway, Petaluma
AERMOD Risk Modeling Parameters and Maximum TAC ConcentrationsOff -Site Residential Receptors
Receptor at Location of Maximum Cancer Risk from Project Operation
Receptor Information
Number of Receptors
Receptor Height =
Receptor distances =
Meteoroloeical Conditions
Petaluma Meteorological Data
Land Use Classification
Wind speed =
Wind direction =
63
1. 5 meters
variable - at nearby residences
2013- 2017
urban
variable
variable
MEI Maximum Concentrations
Non - Cancer Health Effects
TAC
Concentration ( ltglm)
Project O peration
DPM
TACMax Period Average
Max 1 - hour
ei
DPM 0. 001900
Vehicle TOG Exhaust 0. 383580 14. 81
Vehicle TOG Evaporative 0. 108600 2. 19
Benzene 0. 028600 1. 18
PM2.5
Delivery Trucks 0. 00004
Customer Vehicles 0. 0184
PM2. 5 Total 0. 01844
Non - Cancer Health Effects
TAC
Project Operation
Hazard Index
Acute Chronic
DPM 3. 80E- 04
Vehicle TOG Exhaust 4. 51E- 03 1. 35E- 03
Vehicle TOG Evaporative 2. 88E- 03 9. 05E- 04
Benzene 4. 35E- 02 9. 53E- 03
Total 0. 051 0. 0122
Safeway, PetalumaMaximum Cancer & Non - Cancer Health Impacts
at Location of Maximum Cancer Risk from Project Operation
30 -Year Residential Exposure
Cancer Risk Calculation Method
Cancer Risk ( per million) = CPF x Inhalation Dose x ASF x ED/ AT x FAH x LOE6
Where: CPF = Cancer potency factor ( mg/ kg -day)-'
ASF = Age sensitivity factor for specified age groupED = Exposure duration ( years)
AT = Averaging time for lifetime cancer risk ( years) FAH = Fraction of time spent at home ( unitless)
Inhalation Dose = C,; r x DBR x A x ( EF/ 365) x 10"
Where: Cg,= concentration in air ( pghn )
DBR = daily breathing rate ( L/ kg body weight - day) A = Inhalation absorption factor
EF = Exposure frequency ( days/ year) 10' 6 = Conversion factor
Values
95th percentile breathing rales for infant, and 80th percentile for children and adults
Cancer I' menev Factors and Reference Exoosure Levels ( REL)
Infam/ Child Adult
Age--> 3rd Trimester 0-< 2 2-< 16 16- 70
Parameter
ASF 10 10 3 1
DBR-= 361 1090 572 261
A= I l I I
EF= 350 350 350 350
ED= 0.25 2 14 14
AT= 70 70 70 70
FAH = 1 1. 00 1. 00 1 1. 00 1 0. 73
95th percentile breathing rales for infant, and 80th percentile for children and adults
Cancer I' menev Factors and Reference Exoosure Levels ( REL)
CPF
REL ( p',/ m3) Acute Chronic
TAC mg/ kg -day)' 1 - hour) arm ave)
DPM 1. 10E+ 00 5
Vehicle TOG Exhaust 6. 28E- 03 3283 284
Vehicle TOG Evaporative 3. 70E- 04 762 120
Benzene LOOE- 01 27 3
P.• nioet ( lor.•a rt.. n (' ane... RIc4 - M- imnm PR• nieet ( lneratinn Inrnaet Residential Recentnr Location
Exposure
Exposure
Duration
Age
Sensitivity
ilfaximun - Exposure Information
Annual Cone ( u / m3) Cancer Risk (per million)
Exhaust Evaporative Exhaust Evaporative
Year Year years) Age Factor DPM TOG TOG Benzene DPM TOG TOG Benzene Total
0 2019 0. 25 0. 25- 0- 10 0.00190 0.383580 0. 10860 0.02860 0. 0258 0. 0298 0.0005 0. 0354 0.09
1 2019 1 1 10 0.00190 0.383530 0. 10860 0.02860 0.3121 0. 3597 0.0060 0. 4270 1. 10
2 2020 1 2 10 0.00190 0.383580 0. 10860 0.02860 0.3121 0.3597 0.0060 0. 4270 1. 10
3 2021 1 3 3 0.00190 0.383580 0. 10860 0.02860 0.0491 0.0566 0.0009 0.0672 0. 17
4 2022 1 4 3 0.00190 0.383580 0. 10860 0. 02860 0.0491 0. 0566 0. 0009 0. 0672 0. 17
5 2023 1 5 3 0.00190 0.383580 0. 10860 0. 02860 0.0491 0.0566 0.0009 0. 0672 0. 17
6 2024 1 6 3 0.00190 0.383580 0. 10860 0.02860 0. 0491 0.0566 0.0009 0. 0672 0. 17
7 2025 1 7 3 0.00190 0.383580 0. 10860 0. 02860 0. 0491 0.0566 0. 0009 0. 0672 0. 17
8 2026 1 8 3 0.00190 0. 383580 0. 10860 0. 02860 . 0. 0491 0.0566 0. 0009 0. 0672 0. 17
9 2027 1 9 3 0.00190 0.383580 0. 10860 0. 02860 0.0491 0. 0566 0. 0009 0. 0672 0. 17
l0 2028 1 10 3 0.00190 0. 383580 0. 10860 0. 02860 0.0491 0. 0566 0. 0009 0. 0672 0. 17
11 2029 1 11 3 0.00190 0. 383580 0. 10860 0.02860 0.0491 0.0566 0. 0009 0. 0672 0. 17
12 2030 1 12 3 0.00190 0. 383580 0. 10860 0. 02860 0. 0491 0. 0566 0. 0009 0. 0672 0. 17
13 2031 1 13 3 0.00190 0. 383580 0. 10860 0.02860 0.0491 0. 0566 0. 0009 0. 0672 0. 17
14 2032 1 14 3 0. 00190 0. 383580 0. 10860 0. 02860 0.0491 0. 0566 0. 0009 0.0672 0. 17
15 2033 1 15 3 0. 00190 0. 383580 0. 10860 0.02860 0.0491 0. 0566 0. 0009 0.0672 OA7
16 2034 1 16 3 0. 00190 0. 383580 0. 10860 0.02860 0.0491 0. 0566 0. 0009 0.0672 0. 17
17 2035 1 17 1 0. 00190 0. 383580 0. 10860 0.02860 0.0055 0. 0063 0. 0001 0. 0075 0.02
18 2036 1 18 1 0. 00190 0. 383580 0. 10860 0.02860 0. 0055 0. 0063 0. 0001 0. 0075 0.02
19 2037 1 19 1 0. 00190 0. 383580 0. 10860 0.02860 0. 0055 0. 0063 0. 0001 0.0075 0.02
20 2038 1 20 1 0.00190 0. 383580 0. 10860 0.02860 0. 0055 0. 0063 0.0001 0. 0075 0. 02
21 2039 1 21 1 0.00190 0. 383580 0. 10860 0.02860 0. 0055 0. 0063 0. 0001 0.0075 0.02
22 2040 1 22 1 0.00190 0. 383580 0. 10860 0.02860 0. 0055 0. 0063 0. 0001 0.0075 0.02
23 2041 1 23 1 0.00190 0. 383580 0. 10860 0.02860 0. 0055 0. 0063 0. 0001 0. 0075 0. 02
24 2042 1 24 1 0.00190 0.383580 0. 10860 0.02860 0.0055 0. 0063 0. 0001 0.0075 0. 02
25 2043 I 25 1 0.00190 0.383580 0. 10860 0. 02860 0.0055 0. 0063 0. 0001 0. 0075 0. 02
26 2044 1 26 1 0.00190 0.383580 0. 10860 0. 02860 0. 0055 0. 0063 0. 0001 0. 0075 0. 02
27 2045 1 27 1 0.00190 0.383580 0. 10860 0. 02860 0.0055 0. 0063 0. 0001 0. 0075 0. 02
28 2046 1 28 1 0.00190 0. 383580 0. 10860 0. 02860 0.0055 0. 0063 0. 0001 0. 0075 0. 02
29 2047 1 29 1 0.00190 0. 383580 0. 10860 0. 02860 0. 0055 0. 0063 0. 0001 0. 0075 0. 02
30 2048 1 30 1 0. 00190 0. 383580 0. 10860 0. 02860 0.0055 0. 0063 0. 0001 0.0075 0. 02
Total Increased Cancer Risk I I 1 1 1. 41 1 1. 63 1 0. 03 1 1. 94 1 5. 0
Third trimester ofpregnancy
Safeway, Petaluma
AERMOD Risk Modeling Parameters and Maximum TAC ConcentrationsOff -Site School/Daycare Receptors
Receptor at Location of Maximum Cancer Risk from Project Operation
Receptor Information
Number of Receptors
Receptor Height =
Receptor distances =
Meteoroloeical Conditions
Petaluma Meteorological Data
Land Use Classification
Wind speed =
Wind direction =
80
1. 0 meters
variable - within daycare and school areas
2013- 2017
urban
variable
variable
MEI Maximum Concentrations
Non - Cancer Health Effects
TAC
Concentration ( µg/ ut )
Project Operation
Chronic
DPM
Max Period AverageMax I-
ourTAC
DPM 0. 001010
Vehicle TOG Exhaust 0. 204010 30. 92
Vehicle TOG Evaporative 0. 061520 7. 13
Benzene 0. 014280 0. 55
PM2. 5
Delivery Trucks 0. 000051Customer Vehicles 0. 01046
PM2. 5 Total 0. 01051
Non - Cancer Health Effects
TAC
Project Operation
Hazard Index
Acute Chronic
DPM 2. 02E- 04
Vehicle TOG Exhaust 9. 42E- 03 7. 18E- 04
Vehicle TOG Evaporative 9. 36E- 03 5. 13E- 04
Benzene 2. 04E- 02 4. 76E- 03
Total 0. 0391
0. 006
Safeway, PetalumaMaximum Cancer & Non - Cancer Health Impacts
at Location of Maximum Cancer Risk from Project Operation
9 - Year Daycare/ School Child Exposure
Cancer Risk Calculation Method
Cancer Risk (per million) = CPF x Inhalation Dose x ASF x ED/ AT x FAH x LOE6
Where: CPF = Cancer potency factor ( mg/ kg -day)-'
ASF = Age sensitivity factor for specified age groupED = Exposure duration ( years)
AT = Averaging time for lifetime cancer risk ( years) FAH = Fraction of time spent at home ( unitless)
Inhalation Dose = Car x DBR x A x ( EF/ 365) x 10
Where: Car= concentration in air ( µg/ rn )
DBR = daily breathing rate ( Ukg body weight - day) A= Inhalation absorption factor
EF = Exposure frequency ( days/ year)
10 = Conversion factor
Values
Cancer Potencv Factors and Reference Exposure Levels ( REL)
Infant/ Child Adult
Age --> 3rd Trimestet 0-< 2 2-< 16
school child)
16- 70
Parameter
ASF 10 10 3 1
DBR* = 361 1090 572 261
A= I I 1 I
EF= 350 350 180 350
ED= 0. 25 2 14 14
AT= 70 70 70 70
FAH = 1. 00 1. 00 1. 00 0. 73
95th percentile breathine rates for infants and 80th mrcentile for children and adults
Cancer Potencv Factors and Reference Exposure Levels ( REL)
Prniect Oneratian Cancer Risk - Maximum Proiect Oneration Impact Daveare/ School Child Receptor Location
Exposure
CPF
REL ( µ /
m}) Acute
Chronic TAC mg/ kg - day)" 1 - hour) arm
ave) DPM 1. 10E+ 00
5 Vehicle TOG Exhaust 6.28E- 03 3283
284 Vehicle TOG Evaporative 3.70E- 04 762
120 Benzene 1.00E- 01 27
3 Prniect Oneratian Cancer Risk - Maximum Proiect Oneration Impact Daveare/ School Child Receptor
Location
Exposure
Exposure
Duration
Age
Sensitivity Maximum - Exposure
Information Annual Cone (ug/ m3) Cancer Risk ( er u '
Ilion) Exhaust Evaporative Exhaust
Evaporative Year Year years) Age Factor DPM TOG TOG I Benzene DPM TOG TOG Benzene
Total 1 2019 1 5 3 0.00101 0. 204010 0. 06152 0. 01428 0. 0134 0. 0155 0. 0003 0. 0173 0.
05 2 2020 1 6 3 0.00101 0.204010 0. 06152 0. 01428 0. 0134 0. 0155 0. 0003 0. 0173 0.
05 3 2021 1 7 3 0.00101 0.204010 0. 06152 0. 01428 0. 0134 0. 0155 0. 0003 0. 0173 0.
05 4 2022 1 8 3 0. 00101 0. 204010 0. 06152 0. 01428 0. 0134 0. 0155 0. 0003 0. 0173 0.
05 5 2023 1 9 3 0.00101 0. 204010 0. 06152 0. 01428 0. 0134 0. 0155 0. 0003 0. 0173 0.
05 6 2024 1 10 3 0.00101 0. 204010 0. 06152 0. 01428 0. 0134 0. 0155 0. 0003 0. 0173 0.
05 7 2025 1 11 3 0. 00101 0. 204010 0. 06152 0. 01428 0. 0134 0. 0155 0. 0003 0. 0173 0.
05 8 2026 1 12 3 0.00101 0. 204010 0. 06152 0. 01428 0. 0134 0. 0155 0. 0003 0. 0173 0.
05 9 2027 1. 13 3 0. 00101 0. 204010 0. 06152 0. 01428 0. 0134 0. 0155 0. 0003 0. 0173 0.
05 Total Increased Cancer Risk 0. 12 0. 14 0. 002 0. 155 0.
Safeway, Petaluma
AERMOD Risk Modeling Parameters and Maximum TAC ConcentrationsOff -Site School/ Daycare Receptors
Location of Maximum Daycare/ School Cancer Risk from Project Operation
Receptor Information
Number of Receptors
Receptor Height =
Receptor distances =
Meteorological Conditions
Petaluma Meteorological Data
Land Use Classification
Wind speed =
Wind direction =
80
1. 0 meters
variable - within daycare and school areas
2013- 2017
urban
variable
variable
MEI Maximum Concentrations
Non - Cancer Health Effects
TAC
Concentration ( µg/
Project Operation
Chronic
Max Period Average MAveax -
houer
TAC
DPM 0. 001010
Vehicle TOG Exhaust 0. 204010 30. 92
Vehicle TOG Evaporative 0. 061520 7. 13
Benzene 0. 014280 0. 55
PM2. 5
Delivery Trucks 0. 00005
Customer Vehicles 0. 01046
PM2. 5 Total 0. 01051
Non - Cancer Health Effects
TAC
Project Operation
Hazard Index
Acute Chronic
DPM 2. 02E- 04
Vehicle TOG Exhaust 9. 42E- 03 7. 18E- 04
Vehicle TOG Evaporative 9. 36E- 03 5. 13E- 04
Benzene 2. 04E- 02 4. 76E- 03
Total 1 0. 039 1 0. 006
Safeway, PetalumaMaximum Cancer & Non -Cancer Health Impacts
at Location of Maximum Daycare/School Cancer Risk from Project Operation
25 -Year Daycare Worker/ School Teacher Exposure
Cancer Risk Calculation Method
Cancer Risk ( per million) = CPF x Inhalation Dose x ASF x ED/ AT x FAH x I. OE6
Where: CPF = Cancer potency factor ( mg/ kg -day)-'
ASF = Age sensitivity factor for specified age groupED = Exposure duration (years)
AT = Averaging time for lifetime cancer risk ( years) FAH = Fraction of time spent at home (unitless)
Inhalation Dose = C,;, x DBR x A x ( EF/ 365) x 10- 6
Where: C,;, = concentration in air ( pg/ m3)
DBR = daily breathing rate ( L/ kg body weight -day) A = Inhalation absorption factor
EF = Exposure frequency ( days/ year) 10- 6 = Conversion factor
Values
Adult
16- 70
DBR* =
CPF
230
A=
Acute
1
EF =
mg/ kg - da )- t
350
ED=
DPM
25
AT =
5
70
FAH =
3283
breathing rate ( U g- 8 houm)
Cancer Potency Factors and Reference Exposure Levels ( REL)
Proiect Oneration Cancer Risk - Maximum Proiect Operation Impact Daveare Worker/ School Teacher Receptor Location
CPF
REL ( gIm')
Acute Chronic
TAC mg/ kg - da )- t 1 -hour ann ave
DPM 1. 10E+ 00 5
Vehicle TOG Exhaust 6. 28E- 03 3283 284
Vehicle TOG Evaporative 3. 70E- 04 762 120
Benzene 1. 00E- 01 27 3
Proiect Oneration Cancer Risk - Maximum Proiect Operation Impact Daveare Worker/ School Teacher Receptor LocationMaximum - Exposure Information
Exposure Initial
ExposureEFactorAnnual Cone ( u / m3) Cancer Risk ( per million)
Exhaust Exhaust EvaporativeYear Exposure Duration
Age Year years) DPM TOG
IF
TOG Benzene DPM TOG TOG Benzene Total
16 2019 25 0. 00101 0. 204010 0. 06152
10.01428 0. 0875 0. 1009 0. 0018 0. 1125 0. 30
Total Increased Cancer Risk 0. 09 0. 10 0. 002 0. 112 0. 3
CalEEMod Version: CalEEMod. 2016. 3. 2
Page 1 of 1
Petaluma Safeway - Sonoma - San Francisco County, Annual
Petaluma SafewaySonoma - San Francisco County, Annual
1. 0 Project Characteristics
1. 1 Land Usage
Date: 10/ 10/ 2018 9: 32 AM
1. 2 Other Project Characteristics
Urbanization Urban Wind Speed ( m/ s) 2. 2 Precipitation Freq ( Days) 75
Climate Zone 4 Operational Year 2020
Utility Company Pacific Gas & Electric Company
CO2 Intensity 290 CH4Intensity 0. 029 N20 Intensity 0. 006
Ib/ M W hr) ( Ib/ M Whr) ( Ib/ M W hr)
1. 3 User Entered Comments & Non -Default Data
Project Characteristics - PG& E Rate
Land Use - Disturbed site acreage
Construction Phase -
Trips and VMT - added paving trips and adjusted trips to 1 mile for HRA ( local travel)
Demolition - estimated based on 180ft x 75 ft
Vehicle Trips - No trips generated by market
Construction Off-road Equipment Mitigation - Tier 3 and BMP
Grading - based on 9- 14- 2018 email
Table Name Column Name Default Value New Value
tblConslDustMitigation WaterUnpavedRoadVehicleSpeed 0 15
tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 1. 00
tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 4. 00
tblConstEquipMitigation NumberOfEquipmentMitigated 0. 00 2. 00
tblConstEquipMitigation NumberOfEquipmenlMitigaled 0.00 1. 00
tblConstEquipMitigation NumberOfEquipmenlMitigated 0.00 2. 00
tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 1. 00
tblConstEquipMitigation NumberOfEquipmentMitigated 0. 00 1. 00
tblConstEquipMitigation NumberOfEqulpmentMitigated 0. 00 1. 00
tblConstEqulpMitlgation NumberOfEquipmentMitigated 0. 00 2. 00
tblConstEquipMitigation NumberOfEquipmenlMiligated 0. 00 8. 00
tblConstEquipMitigation Tier No Change Tier 3
tblConstEquipMitigation Tier No Change Tier 3
tblConstEquipMitigation Tier No Change Tier 3
tblConstEqulpMitlgation Tier No Change Tier 3
tblConstEquipMitigation Tier No Change Tier 3
tblConstEquipMitigation Tier No Change Tier 3
tblConstEquipMitigation Tier No Change Tier 3
tblConstEqulpMitlgation Tier No Change Tier 3
tblConstEquipMitigation Tier No Change Tier 3
tblConstEquipMitigation Tier No Change Tier 3
tblGrading Matedalimported 0. 00 1, 200. 00
tblLandUse LandUseSquareFeet 700. 00 697. 00
tblLandUse LotAcreage 0. 05 0. 70
tblLandUse LotAcreage 0. 02 0. 00
tblProjectCharacteristics CO21ntensityFactor 641. 35 290
tblTripsAndVMT HaulingTr pLength 20. 00 1. 00
tblTripsAndVMT HaulingTripLength 20. 00 1. 00
tblTripsAndVMT HaulingTripLength 20. 00 1. 00
tblTripsAndVMT HaulingTripLength 20. 00 1. 00
tblTripsAndVMT HaulingTripLength 20. 00 1. 00
tblTripsAndVMT HaulingTripLength 20.00 1. 00
tblTripsAndVMT VendorTripLength 7. 30 1. 00
tblTripsAndVMT VendorTripLength 7. 30 1. 00
tblTripsAndVMT VendorTripLength 7. 30 1. 00
tblTripsAndVMT VendorTripLength 7. 30 1. 00
tblTripsAndVMT VendorTripLength 7.30 1. 00
tblTripsAndVMT VendorTripLength 7. 30 1. 00
tblTripsAndVMT WorkerTripLength 10. 80 1. 00
tblTripsAndVMT WorkerTripLength 10. 80 1. 00
tblTripsAndVMT WorkerTripLength 10. 80 1. 00
tblTripsAndVMT WorkerTripLength 10. 80 1. 00
tblTripsAndVMT WorkerTripLength 10. 80 1. 00
tblTripsAndVMT WorkerTripLength 10. 80 1. 00
tblVehicleTdps ST TR 42. 04 0. 00
tblVehicleTdps SU TR 20.43 0. 00
tblVehicleTrips WD -TR 44.32 0. 00
2. 0 Emissions Summary
2. 1 Overall Construction
Unmitigated Construction
ROG 1NOx CO 3 S02 I:, Fugitive Exhaust PMtO Fugitive Exhaust PM2. 5 Blo- G02 NBio- CO2 Total CO2'. CH4 N20 G02e 1
PM10 PM10 Total PM2. 5I PM2. 5 TotalI I IYear ' tonslyr MTM
2019 0.0727 0. 5826 0.4516 7.0000e- . 7. 9400.- 0.0351 0. 0431 116100e- 0. 0325 0. 0340 0. 0000 62. 2583 62. 2583 0. 0185 0. 0000 62. 7204
004 003 1 003
Maximum 0. 0727 0. 5826 0. 4516 7. 000Oe- 7. 9400e- 0. 0351 0. 0431 1. 5100e- 0. 0325 0. 0340 0. 0000 62. 2583 62. 2583 0.0185 0. 0000 62. 7204
004 003
1 1003
Mitigated Construction
Quarter Start Date. rEnd Date
ROG
N077CO SO2 Fugitive - Exhaust I PM10 Fugitive Exhaust PM2. 5 Blo- CO2 NBIo- CO2 Total
CO27777
CH4 N20
02e
5 1
3
I I 1
PM10 PM10 Total PM2. 5 PM2. 5 Total
6/ 6/ 2019 5 100
Year tonslyr MT/yr
2019 0. 0323 0. 3713 0. 4742 7. 000Oe- 3. 6800e- 0. 0228 0. 0265 7. 1000e- 0.0228 0. 0235 0. 0000 62. 2583 62.2583 0.0185 0. 0000 62. 7203
1 1
004 003
1
004
I I I
Maximum j 0. 0323 0. 3713 0. 4742 7.000Oe- 3. 6800e- 0. 0228 0. 0265 7. 1000e- 0. 0228 0. 0235 0. 0000 62, 2563 62. 2583 0. 0185 0. 0000 62. 7203
004 003 004 1
Quarter Start Date. rEnd Date
ROG NOx CO SO2 '- Fugitive ; Exhaust PM10 Eugltive Exhaust PM2. 5 Bio - 0O2 NBio 02 Total CO2 CH4 N20 CO2e
5 1
3
I I 1 PM10 PM10 Total PM2. 5 PM2. 5 Total
6/ 6/ 2019 5 100
Percent 55, 50 36. 27 5. 02 0. 00 53. 65 35. 13 3850 52. 98 29. 79 30. 84 0. 00 0. 00 0. 00 0, 00 0. 00 0. 00
Reduction 1 1 1 1 1 1 I I IQuarter Start Date. rEnd Date Maximum Unmitigated ROG + NOX( tons/quarter) Maximum Mitigated ROG +' NOX (tonslquarter)
1 1. 1. 2019 331- 2019 0. 3483 0. 2137
2 4. 1- 2019 630. 2019 0. 3005 0. 1850
Highest 0. 3483 0. 2137
3. 0 Construction Detail
Construction Phase
Phase :
Number;
Phase Name Phase Type Start Date End Date Num Days Num Days Phase Description
Week
1 Demolition Demolition 1/ 1/ 2019 1/ 14/ 2019 5 10
2 Site Preparation Site Preparation 1/ 15/ 2019 1/ 15/ 2019 5 1
3 Grading Grading 1/ 16/ 2019 1/ 17/ 2019 5 2
4 Building Construction Building Construction 1/ 18/ 2019 6/ 6/2019 5 100
7
Acres of Grading ( Site Preparation Phase): 0. 5
Acres of Grading ( Grading Phase): 0
Acres of Paving: 0
Residential Indoor: 0; Residential Outdoor: 0; Non - Residential Indoor: 4, 434; Non - Residential Outdoor: 1, 478; Striped Parking Area: 0
OffRoad Equipment
Phase Name Offroad Equipment Type Amount Usage Hours Horse Power Load Factor
Demolition Concrete/ Industrial Saws 1 8. 00 81 0. 73
Demolition Rubber Tired Dozers 1 1. 00 247 0. 40
Demolition Tractors/ Loaders/ Backhoes 2 6. 00 97 0. 37
Site Preparation Graders 1 8. 00 187 0. 41
Site Preparation Tractors/ Loaders/ Backhoes 1 8. 00 97 0. 37
Grading Concrete/ Industrial Saws 1 8. 00 81 0. 73
Grading Rubber Tired Dozers 1 1. 00 247 0. 40
Grading Tractors/ Loaders/ Backhoes 2 6. 00 97 0. 37
Building Construction Cranes 1 4. 00 231 0. 29
Building Construction Forklifts 2 6. 00 89 0. 20
Building Construction Tractors/ Loaders/ Backhoes 2 8. 00 97 0. 37
Paving Cement and Mortar Mixers 4 6. 00 9 0. 56
Paving Pavers 1 7. 00 130 0. 42
Paving Rollers 1 7. 00 80 0.38
Paving Tractors/ LoadersBackhoes 1 7. 00 97 0. 37
Architectural Coating Air Compressors 1 6. 00 78 0. 48
Trips and VMT
Demolition 4 10. 00 0. 00 61. 00 1. 00 1. 00 1. 00 LID Mix HDT_ Mix HHDT
Site Preparation 2 5. 00 0. 00 0. 00 1. 00 1. 00 1. 00 LID Mix HDT_ Mix HHDT
Grading 4 10. 00 0.00 150. 00 1. 00 1. 00 1. 00 LD - Mix HDT_ Mix HHDT
Building Construction 5 1. 00 0. 00 0. 00 1. 00 1. 00 1. 00 LD_ Mix HDT_ Mix HHDT
Paving 7 18. 00 0. 00 0. 00 1. 00 1. 00 1. 00 LD_ mix HDT_ Mix HHDT
Architectural Coating 1 0. 00 0.00 0.00 1. 00 1. 00 1. 00 LD_ Mix HDT_ Mix HHDT
3. 1 Mitigation Measures Construction
Use Cleaner Engines for Construction Equipment
Water Exposed Area
Reduce Vehicle Speed on Unpaved Roads
3. 2 Demolition - 2019
Unmitigated Construction On -Site
ROG NOx CO ;- SO2 f Fugitive :: I Exhaust I PM10 Fugitive Exhaust PM2. 5 Blo- CO2 Nato- CO2 Total CO2r CH4 N20 CO2e
I PM10 : PM10
ITotal PM2. 5 PM2, 5 Total I
Category tonslyr MT/ Yr
Fugitive Dust 6 0. 0000 6. 6400e- 1. 0010030- 0.
00001. 000a- 0.0000 0. 0000 0. 0000 0. 0000 0.0000 0. 0000
003e- I I 03 I
Off-Road4,7700e- 0. 0430 0.0385 6.00000- 2. 6900e- 2. 6900e- 2. 5600e- 2. 5600e- 0. 0000 5. 2601 5. 2601 1. 0000e- 0. 0000 5. 2852
003 005 003 003 003 003 003
Total 4. 7700e. 0, 0430 0. 0365 6. 000Oe- 6. 6400e- 2. 6900.- 9.3300e- 1. 0100.- 2. 5600.- 3. 5700e- 0. 0000 5. 2601 5.2601 1. 000Oe- 0, 0000 5. 2852
003 005 003 003 003 003 003 003 003
Unmitigated Construction Off -Site
ROG NOx
ICO
ISO2
IFugitive Exhaust PM10 Fugitive
IExhaust
IPM2. 5 Bio- CO2 NBlo- CO2 TotaiCO2r CH4 N20 CO2e ':
PM10 ': PM10 Total PM2.5 PM2. 5. Total
Category tons/ yr MT/ yr
Hauling 7.0000e-
005
3. 2300e-
003
5. 7000e-
004
0. 0000 3. 000Oe-
005
1- 00OOe-
005
3.0000e- 1. 0000e- 1. 0000.-
005 005 005
1. 0000e-
005,
0. 0000 0. 3432 0. 3432 6. 000Oe-
005
0. 0000 0. 3448
Vendor 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
Worker 9. 000Oe-
005
4. 000Oe-
005
5. 4000e-
004
0. 0000 4. 0000e-
005
0. 0000 4. 000Oe- 1. 000Oe- 0. 0000
005 005
1. 0000e-
005
0.0000 0. 0443 0. 0443 0.0000 0.0000 0. 0444
Total 1. 6000.-
004
3. 2700e-
003
1. 1100e-
003
0. 0000 7.000Oe-
005
1. 000Oe-
005
7.000Oe- 2.000Oe- 1. 000Oe-
005 005 005
2. 000Oe-
005
0. 0000 0. 3875 0. 3875 6. 000Oe-
005
0. 0000 0. 3891
Mitigated Construction On -Site
ROG NOx CO :: SO2 `. Fugitive :: Exhaust PM10 Fugitive Exhaust PM2. 5 Bio- CO2 NBIo- CO2 Total CO2 CH4 N20 CO2e f
Hauling 7. 0000e-
005
I I
0. 0000
PM10 PM10 Total PM2. 5 PM2. 5I TotalI
0. 3432 0. 3432 6. 000Oe-
005
0. 0000
I ICategory tons/ yr MT/yr
Fugitive Dust
0. 0000 0. 0000 0. 0000
2. 9900e- 0. 0000 2. 9900e- 4. 5000e- 0. 0000 4. 5000e- 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
4.000Oe-
005
0. 0000 4. 0000e-
005
1. 0000e-
005
003
1. 000Oe- 0. 0000
005
003 004
0. 0000
004
0. 0444
Off - Road , 1. 3300e- 0. 0298 0.0397 6.000Oe- 2.0100e- 2.0100e- 2. 01OOe- 2. 0100e- 0. 0000 5. 2601 5. 2601 1. 000Oe- 0. 0000 5. 2852
003 005' 003 003 003 003 003
Total 1. 3300e- 0. 0298 0. 0397 6. 0000e- 2. 9900e- 2. 0100a- 5. 000Oe- 4. 5000e- 2. 0100e- 2. 4600e- J 0. 0000 5.2601 5. 2601 1. 000Oe- 0. 0000 5.2852
003 005 003 003 003 004 003 0031
003
Mitigated Construction Off -Site
ROG
INOX
ICO
ISO2 f: Fugitive'
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2. 5
Eichaust
IPM2. 5 I
PM2.5 Blo- CO2ITotal
NBio- CO2 Total CO2.: CH4 N20 C02e
Category tonstyr MT/yr
Hauling 7. 0000e-
005
3. 2300e-
003
5. 7000e-
004
0. 0000 3. 000Oe-
005
1. 0000e-
005
3.000Oe-
005
1. 0000e-
005
1A000e-
005
1. 0000e- 0. 0000
005
0. 3432 0. 3432 6. 000Oe-
005
0. 0000 0. 3448
Vendor 0.0000 0.0000 0.0000 0.0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0.0000 0. 0000 0. 0000 0. 0000 0.0000
Worker 9. 0000e-
005
4. 000Oe-
005
5.4000.-
004
0. 0000 4. 000Oe-
005
0. 0000 4. 0000e-
005
1. 0000e-
005
0. 0000 1. 000Oe- 0. 0000
005
0. 0443 0. 0443 0. 0000 0. 0000 0. 0444
004 i 003 1 003 i 1 005 1 005 i 005 1 005 1 005 i 005 1 i i 1 005
3. 3 Site Preparation - 2019
Unmitigated Construction On -Site
ROG NO CO :. S02 Fugitive Exhaust PM10 Fugitive Exhaust PM2. 5 Blo- CO2 NBlo- CO2 Total CO2 CH4 N20 CO2e
MT/ yr
I
0. 0000 0. 0000
PM10I PM10 Total PM2.5 PM2. 5I Total
0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
ICategory tonslyr MT/ yr
Fugitive Dust
0. 0000 0. 0000 0. 0000
2.7000e- 0. 0000 2. 70000- 3. o000e- 0. 0000 3. 00000- 0. 0000 0.0000 0. 0000 0. 0000 0. 0000 0. 0000
0. 0000 3. 000Oe-
005
0. 0000 0. 0000
004
0. 0000
004 005
0. 0000
005
2. 2100e-
003
2. 2100e-
003
0. 0000 0. 0000 2. 2200e-
003
Total 0. 0000
Off - Road 3.6000e- 4.4600e- 2. 0700e- 0. 0000
0. 0000
1. 8000e- 1. 8000e-
0. 0000
1. 7000e- 1. 70000- 0. 0000 0. 4376 0.4378 1. 4000e- 0. 0000 0. 4413
004 003 003 004 004 004 004 004
Total 3. 6000e- 4. 4600e• 2. 0700e. 0.0000 2.7000e. 1. 8000e• 4.5000e- 3. 000Oe- 1. 7000e• 2. 00000• 0. 0000 0. 4378 0.4378 1 1. 4000e• 0. 0000 0. 4413
004 003 003 004 004 004 005 004 004 004
Unmitigated Construction Off -Site
ROG
INOx CO
ISO2 c'. Fugitive :' Exhaust
PM10 ': PM10
iPM10
Total
Fugitive
PM2. 5
Exhaust
PM2. 5
PM2. 5
Total
Bio- CO2 NBlo- CO2 Total CO2: CH4
IN20
ICO2e
Category tons/ yr MT/ yr
Hauling 0.0000 0. 0000 0. 0000 0. 0000 0.0000 0.0000 0. 0000. 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
Vendor 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0.0000 0.0000 0. 0000 0. 0000 0. 0000 0. 0000 0.0000 0. 0000 0.0000 0. 0000 0. 0000
Worker 0. 0000 0. 0000 3. 000Oe-
005
0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 2. 2100e-
003
2. 2100e-
003
0. 0000 0. 0000 2. 2200e-
003
Total 0. 0000 0. 0000 3. 00000•
005
0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 2. 21000•
003
2. 21000-
003
0. 0000 0. 0000 2. 22000-
003
Mitigated Construction On -Site
Mitigated Construction Off - Site
ROG
ROG NOX CO: SO2 :: Fugitive Exhaust I PM10 Fugitive Exhaust PM2: 5 Blo- 0O2 NBlo- CO2 Total CO2 CH4 N20 sCO2e r
MTlyr
Hauling 0. 0000
I
0. 0000 0. 0000
PM10 PM10 Total PM2. 5 PM2. 5 Total
0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
Category
0. 0000 0. 0000 0. 0000 0. 0000
tonslyr
0. 0000 O. 00W 0. 0000 0. 0000 0. 0000 0. 0000
MT/ yr
0. 0000 0. 0000
Fugitive Dust
Worker 0. 0000 0. 0000 3. 00OOe-
005
0. 0000
1, 2000e- 0.0000 1. 2000e- 1. 0000' 0. 0000 1. 0000e- 0. 0000 0. 0000 0.0000 0. 0000 0. 0 000 000.00
Total 0. 0000 0. 0000 3. 0000e-
005
0. 0000 0. 0000
004
0. 0000
004 005
0. 0000
005
2. 2100e-
003
2. 2100e-
003
0. 0000 0. 0000 2. 2200e.
003
Off -Road 1. 2000e- 2. 4400e- 2. 9300e- 0. 0000 1. 2000e- 1. 2000e- 1. 2000e- 1. 2000e- 0. 0000 0. 4378 0. 4378 1. 4000e- 0. 0000 0. 4413
004 003 003 004 004 004 004 004
Total 1. 2000e. 2. 4400e- 2. 9300e. 0. 0000 1. 2000e. 1. 2000e. 2. 4000e- 1. 00OOe- 1. 200Oe- 1. 3000e. 0. 0000J 0. 4378 0. 4378 1. 4000e- 0. 0000 0. 4413
004 003 003 004 004 004 005 004 004 004
Mitigated Construction Off - Site
ROG NOx
ICO ': SO2 '- Fugitive
PM10
Exhaust
PM10
r PM10
Total
Fugitive
PM2. 5
Exhaust
PM2. 5
PM2. 5
Total
BIo- CO2 NBlo- CO2 Total CO2 CH4 N20 CO2e
Category tonslyr MTlyr
Hauling 0. 0000 0. 0000 0. 0000 0. 0000 0.0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
Vendor 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 O. 00W 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
Worker 0. 0000 0. 0000 3. 00OOe-
005
0. 0000 0. 0000 0. 0000 0.0000 0. 0000 0.0000 0.0000 0.0000 2.2100e-
003
2. 2100e-
003
0. 0000 0. 0000 2. 2200e-
003
Total 0. 0000 0. 0000 3. 0000e-
005
0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 2. 2100e-
003
2. 2100e-
003
0. 0000 0. 0000 2. 2200e.
003
3. 4 Grading - 2019
Unmitigated Construction On - Site
ROG
INOx
ICO
ISO2 : Fugitive
PM10
Exhaust
PM10
I PM10
I Total
Fugitive
PM2. 5 IExhaust
PM2. 5
I PM2. 5Total
BIo- 0O2 NBio- CO2 Total CO2c CH4
IN20
Category tonslyr MT/yr
Fugitive Dust
NOx CO SO2 Fugitive :<.
8.2000e-
004
0.0000 8.2000e-
004
4. 2000e-
004
0. 0000 4. 2000e-
004
0. 0000 0. 0000 0. 0000 0. 0000 0.0000 0. 0000
Off -Road 9.5000e- 8.6000e- 7. 6900e- 1. 000Oe-
Total
5. 4000e- 5. 4000e-
ITotal
5.1000e- 5. 1000e- 0. 0000 1. 0520 1. 0520 2. 000Oe- 0. 0000 1. 0570
Hauling 1. 8000e-
004 003 003 005
2. 0000e-
004 004
1. 000Oe-
004 004
0. 8440 0. 8440 1. 5000.-
004
0. 8478
004
Total 9. 5000.- 8. 6000e- 7. 6900e- 1. 0000e- 8. 2000e- 5. 4000e• 173600e- 4. 2000e- 5. 1000e- 9. 3000.- 0. 0000 1. 0520 1. 0520 2. 0000.- 0.0000 1. 0570
0. 0000
004 003 003 005 004 004 003 004 004 004
0. 0000 0. 0000 0. 0000
004
1. 000Oe- 1. 1000e-
Unmitigated Construction Off -Site
ROG NOx CO SO2 Fugitive :<. Exhaust PM10Fugitive Exhaust PM2. 5 Bto- 0O2 NBlo- CO2 TotaICO2 CH4 N20 CO2e
I
I
I I PM10 - PM10 Total PM2.5 PM2.5
ITotal
Category tonslyr MT/ YT
Hauling 1. 8000e- 7. 9500e- 1. 41OOe- 1. 000Oe- 6. 000Oe- 2. 0000e- 8. 000Oe- 2. 000Oe- 1. 000Oe- 3. 0000e- 0. 0000 0. 8440 0. 8440 1. 5000.- 0.0000 0. 8478
004 003 003 005 1 005 005 005 005 005 005 004
Off - Road 2.7000e- 5. 9600e-
Vendor 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0.0000 0. 0000 0.0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
Worker 2. 000Oe- 1. 000Oe- 1. 1000e- 0. 0000 1. 000Oe- 0. 0000 1. 000oe- 0. 0000 0.0000 0. 0000 0. 0000 8. 8500e- 8. 8500e- 0. 0000 0.0000 8. 8700e-
005 005 004
4. 000Oe•
005
0. 0000
005
1. 0520 2. 000Oe- 0, 0000 1. 0570
003 003
003 005
003
Total 1 2. 0000.- 7. 9600.- 1. 5200e- 1. 0000e- 7. 0000e- 2. 000Oe- 9. 0000e- 2. 000Oe- 1. 0000e- 3. 000Oe- 0. 0000 0. 8529 0. 8529 1. 5000e- 0. 0000 0. 8566
004 003 003 005 005 005 005 005 005 005 004
Mitigated Construction On -Site
ROD NOx CO a SO2 '' Fugitive - I Exhaust PM10Fugitive Exhaust PM2. 5 Bio- CO2 NBIo- CO2 Total CO2 CH4 : N20 CO2e
I I PM10 PM10 TotalI PM2.5 PM2. 5
ITotal
Category tonslyr MT/ Yr
Fugitive Dust 3. 7000e- 0.0000 3.7000e- 1. 9000e- 0.0000 1. 9000e- 0. 0000 0. 0000 0. 0000 0. 0000 0.0000 0. 0000
004 004 004 004
Off - Road 2. 7000e- 5. 9600e- 7. 9400e- 1. 0000e- 4.0000.- 4.0000.- 4. 0000e- 4. 000Oe- 0. 0000 1. 0520 1. 0520 2. 000Oe- 0. 0000 1.0570
004 003 003 005 004 004 004 004 004
Total 2, 7000.- 5. 9600e- 7. 9400.• 1. 0000.- 3. 7000.- 4.0000.- 7. 7000.• 1. 9000.- 4. 000Oe• 5. 9000.• 0. 0000 1. 0520 1. 0520 2. 000Oe- 0, 0000 1. 0570
004 003 003 005 004 004 004 004 004 004 004
Mitigated Construction Off -Site
ROG NOx CO SO2 -: Fugitive `: I Exhaust I PM10 Fugitive Exhaust PM2. 5 Bio - CO2 NBio- CO2 Total CO2 CH4 r N20 CO2e
CO2e
I PM10 . PM10 Total PM2. 5 PM2. 5I Total
PM2. 5
I ICategory I tonslyr MT/yr
Hauling 1. 8000e- 7. 9500e- 1.
410011. 0000e- 6. 000Oe- 2. 000Oe- 8. 00000- 2. 0000e- 1. 000Oe- 3. 000Oe- 0.0000 0.8440 0. 8440 1. 5000e- 0. 0000 0. 8478
004 003 003 005 005 005 005 00, 5 005 005 I 004
Vendor 0. 0000 0.0000 0. 0000 0. 0000 0.0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
Worker 2. 000Oe- 1. 0000a- 1. 1000e- 0. 0000 1. 00000- 0.0000 1. 000Oe- 0. 0000 0. 0000 0. 0000 0. 0000 8. 8500e- 8. 6500e- 0. 0000 0. 0000 8. 8700e-
005 005 004 005 005 003 003 003
Total 2. 0000e. 7. 9600e- 1. 5200x- 1. 0000e. 7. 0000e- 2. 0000e. 9. 00000- 2. 0000e- 1. 0000e- 3. 0000e- 0. 0000 0. 8529 0. 8529 1. 5000e- 0. 0000 0. 8566
004 003 003 005 005 005 005 005 005 005 004
3. 5 Building Construction - 2019
Unmitigated Construction On -Site
ROG NOx CO SO2 >' Fugitive : Exhaust PM10 Fugitive Exhaust PM2.5 Blo- C7NBlo- CO2 Total CO2i CH4 t: N20 CO2e
PM10 PM10 Total PM2. 5 PM2. 5 TotalI ICategory tonslyr MT/ yr
Off -Road 0. 0479 0. 4910 0. 3772 5. 70000- 0. 03030. 0303 0. 0279 0. 0279 0.0000 51. 1502 51. 1502 0. 0152 0.0000 51. 5548
004
Total 0. 0479 0. 4910 0. 3772 5. 70000- 0.0303 0. 0303 0. 0279 0. 0279 0. 0000 51. 1502 51. 1502 0. 0162 0. 0000 51. 5548
004
Unmitigated Construction Off -Site
ROG
INOx CO ':. SO2 Fugitive:) Exhaust
IPM10
IFugitive
IExhaust
1PM2. 5
IBio - CO2 NBlo- CO2 Total CO2 CH4 N20 '. 0O2e s
PM10 PM10 ('. Total PM2.5 PM2. 5 Total
Category tonslyr MT/yr
Hauling 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
Vendor 0. 0000 0. 0000 0. 0000 0.0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
Worker 9. 0009e-
005
4. 0000e-
005
5. 4000e- 0. 0000
004
4. 000Oe-
005
0. 0000 4. 0000e- 1. 000Oe-
005 005
0. 0000 1. 000Oe-
005
0.0000 0. 0443 0. 0443 0. 0000 0.0000 0. 0444
Total 9.000ee-
005
4. 000Oe-
005
5. 4000e- 0. 0000
004
4.000Oe-
005
0.0000 4.000Oe- 1. 000Oe-
005 005
0. 0000 1. 000Oe-
005
0. 0000 0. 0443 0. 0443 0. 0000 0. 0000 0. 0444
Mitigated Construction On -Site
ROG NOX CO SO2 Fugitive' Exhaust PMlr Fugitive Exhaust PM2. 5 Bio - CO2 NBlo- CO2 Total CO2: CH4 N20 CO2e
Hauling 0. 0000 0. 0000 0. 0000 0. 0000
PM10 : PM10 Total PM2.5 PM2. 5 Total
0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
Vendor 0. 0000
Category tonslyr MT/ yr
Off - Road 0. 0140 0. 3065 0. 3981 5. 7000x,
0. 0000
0. 0193 0. 0193
0. 0000
0. 0193 0. 0193 0. 0000 51. 1502 51. 1502 0. 0162 0. 0000 51. 5548
4. 000Oe-
005
0. 0000 4. 0000e-
005
004
0. 0000 1. 0000e- 0. 0000
005
0. 0443 0. 0443 0. 0000 0. 0000 0. 0444
Total 0. 0140 0. 3065 0. 3981 5.7000e- 0. 0193 0. 0193 0. 0193 0. 0193 0. 0000 51. 1502 51. 1502 0. 0162 0. 0000 51. 5548
004
Mitigated Construction Off -Site
ROG
INOx
ICO
ISO2
IFugitive
PM10
Exhaust IPM10 I
PM10
Total
Fugitive
PM2, 5
Exhaust
PM2. 5
PM2. 5 BIo- CO2
Total
NBlo- CO2 Total CO2- CH4 N20
ICO2e <:
Category tonslyr MT/ yr
Hauling 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0.0000 0. 0000 0.0000 0.0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
Vendor 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0.0000 0. 0000 0.0000
Worker 9. 000Oe-
005
4. 0000e-
005
5.4000e-
004
0.0000 4. 000Oe-
005
0. 0000 4. 0000e-
005
1. 0000e-
005
0. 0000 1. 0000e- 0. 0000
005
0. 0443 0. 0443 0. 0000 0. 0000 0. 0444
005 1 005 1 004 1 1 005 1 1 005 1 005 1 1 005
3. 6 Paving - 2019
Unmitigated Construction On - Site
ROG N
IC0= SO2 <' Fugitive-
PM10 ':
Exhaust
PM10
PM10
Total IFugitive
PM2. 5 IExhaust
PM2. 5
PM2. 5
I Total
Blo-: CO2 NBlo- CO2 Total CO2 CH4 ': N20
ICO2e
Category tons/ yr MT/ yr
Off -Road 2, 0700e-
003
0. 0196 0. 0179 3. 000Oe-
005
0. 0000 0. 0000
1. 110Oe-
003
1. 1100e-
003
0. 0000
1. 0300e-
003
1. 0300e-
003
0. 0000 2. 3931 2. 3931 6. 8000a-
004
0. 0000 2. 4102
Paving 0. 0000
0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
0. 0000 0. 0000
0. 0000
0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
Total 2.0700e-
003
0. 0196 0. 0179 3. 0000e-
005
1. 0000e-
005
1. 1100e-
003
1. 1100e-
003
0. 0000
1. 0300e-
003
1. 0300e.
003
0. 00001 2. 3931 2. 3931 6. 8000e-
004
0. 0000 2. 4102
Unmitigated Construction Off -Site
ROG
INOx
ICO '< SO2
IFugitive ;.
PM10
Exhaust
PMtO
PM10
Total
Fugitive
FM2. 6
Exhaust
PM2.5
PM2, 5
Total
Bio- CO2 NBio- CO2 Total CO2
ICH4 N20
ICO2e +:
Category tonslyr MT/ yr
Hauling 0. 0000 0. 0000 0.0000 0. 0000 0. 0000 0. 0000 0.0000 0. 0000 0. 0000 0. 0000 0. 0000 0.0000 1 0. 0000 0. 0000 0. 0000 0. 0000
Vendor 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0.0000 0. 0000 0. 0000 0. 0000 0.0000 0.0000 0.0000 0. 0000
Worker 8. 000Oe-
005
4.000Oe-
005
4. 9000e-
004
0. 0000 3. 0000, e- 0. 0000
005
3. 000Oe-
005
1. 0000e-
005
0. 0000 1. 000Oe-
005
0. 0000 0.0398 0.0398 0.0000 0. 0000 0.0399
Total 8. 000Oe-
005
4.000Oe-
005
4. 9000e-
004
0. 0000 3.0000e- 0. 0000
005
3. 0000e-
005
1. 0000e-
005
0, 0000 1. 000Oe-
005
0. 0000 0. 0398 0. 0398 0. 0000 0. 0000 0. 0399
Mitigated Construction Ori -Site
ROG NOx CO -: SO2 :: Fugitive
PM10 '.
Exhaust
PM10
PM70
IFugitive
Total PM2. 5 IExhaust
PM2. 5
PM2. 5
Total
BIo- CO2 NBlo- CO2 TotaICO2 CH4
IN20
ICO2e
Category tonslyr MT/ yr
Off -Road 5. 6000e-
004
0. 0119 0. 0173 3. 000Oe-
005
0. 0000
7. 3000e-
004
7. 3000e-
004
0. 0000
7. 3000a-
004
7. 30000-
004
0. 0000 2. 3931 2. 3931 6. 8000e- 0. 0000
004
2. 4102
Paving 0. 0000
0. 0000
0. 0000 0. 0000
0. 0000 0. 0000
0. 0000
0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
Total 5. 6000e-
004
0. 0119 0. 0173 3. 000Oe-
005
4. 000Oe-
005
7. 3000e-
004
7. 3000e-
004
3. 00006-
005
7. 3000e-
004
7. 3000e•
004 10. 0000 2. 3931 2. 3931 6. 8000e- 0, 0000
004
2. 4102
Mitigated Construction Off -Site
ROG
INOz
ICO
ISO2 -. Fugitive
PM10
Exhaust
PM10
I PM10
I Total IFugitive
PM2. 5
Exhaust
PM2. 5
PM2. 5
Total
BIo- CO2
INBio- CO2 Total CO2 CH4 , 1 N20
ICO2e
Category tonslyr MT/ yr
Hauling 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
Vendor 0.0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0.0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
Worker 8. 0000e,
005
4. 000Oe-
005
4.90000-
004
0.0000 3. 00006-
005
0. 0000 3. 0000e-
005
1. 00000-
005
0.0000 1. 0000a-
005
0. 0000 0. 0398 0. 0398 0. 0000 0. 0000 0. 0399
Total 8. 0000e-
005
4. 000Oe•
005
4. 9000e-
004
0. 0000 3. 000Oe-
005
0. 0000 3. 000Oe-
005
1. 000Oe-
005
0. 0000 1. 0000e-
005
0. 0000 0. 0398 0. 0398 0. 0000 0. 0000 0.0399
3. 7 Architectural Coating - 2019
Unmitigated Construction On - Site
r '
ROG
INOX
ICO
ISO2
IFugitive C.I
PM1O
Exhaust IPM70
PM10
Total
Fugitive
IPM2. 5
Exhaust
PM2. 5
I PM2. 5Total
I Blo CO2 NBio- CO2
1Total CO2i CH4 f N20 CO2e
Category tonslyr MT/yr
r '
Archit. Coating 0.0154
ICO S'. SO2 r' Fugitive
PM10 I.
0. 0000 0. 0000 0.0000 0. 0000 0.0000 0. 0000 0. 0000 0. 0000 0.0000 0. 0000
Off -Road 6. 70000- 4. 5900e- 4. 6000e- 1. 000Oe- 3. 2000e- 3. 2000e- 3. 20000- 3. 2000e- 0. 0000 0. 6383 0.6383 5.0000e- 0. 0000 0.6397
0. 0000
004 003 003 005 004 ' 004 004 004
0. 0000 0. 0000 0. 0000
005
0. 0000 0. 0000
Total 0. 0161 4.59000- 4.60000- 1. 000Oe- 3. 2000e- 3. 2000e- 3. 2000e- 3. 20000- 0. 0000 0. 6383 0. 6383 5700e- 0, 0000 0. 6397
0. 0000 0. 0000
003 003 005 004 004 004 004
0. 0000 0. 0000 0. 0000
005
0. 0000 0. 0000
Unmitigated Construction Off -Site
ROG
INOX
ICO S'. SO2 r' Fugitive
PM10 I.
I ExhaustPM10
I PM10Total
Fugitive
PM2.5Exhaust
PM2. 5
PM2.5
Total
Bio- CO2
INBio- CO2 Total CO2- CH4 N20 0O2e
Category tonslyr MT/ yr
Hauling 0. 0000 0. 0000 0. 0000 0.0000 0.0000
10. 0000 0. 0000 0. 00000. 0000
0. 0000
0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
Vendor 0. 0000 0. 0000 0. 0000 0.0000 0. 0000 0. 0000 0. 0000 0. 0000 0.0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
Worker 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000. 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
Total 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 1 0. 0000 0. 0000
171: 000 0. 0000 0. 0000
Mitigated Construction On -Site
ROG
INOx CO r SO2
IFugitive : rExhaust
PM10 °. PM10
I PM10Total
Fugitive
PM2.5Exhaust
PM2. 5
TT5Total
Bio CO2 NBlo- CO2 Total CO2( CH4 1 N20 CO2e
Category tons/ yr MT/ Yr
Archit. Coating 0. 0154 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
Off - Road 1. 5000e-
004
3. 39000-
003
4.5800e- 1. 0000e-
003 005
2.4000e-
004
2.4000e-
004
2.4000e- 2A000e-
004 004
0. 0000 0. 6383 0. 6383 5. 0000e-
005
0. 0000 0. 6397
Total 0. 0156 3. 3900e-
003
4. 5800.- 1. 000Oe-
003 005
2.4000e-
004
2. 4000e-
004
2. 4000.- 2A000e-
004
1004
0. 0000
10. 6383 0. 6383 5. 00008-
005
0. 0000 0. 6397
1
Mitigated Construction Off -Site
ROG NOX CO SO2 - Fugitives
PM10 '::
Exhaust
PM10
F. 1M10
Total
Eugi- Uv e
PM2. 5
Exhaust
PM2. 5
PM2. 5
Total
Bto-. CO2 NBIo- 0O2 Total CO2 CH4 N20
ICO2e ' s
Category tons/ yr MT/ yr
Hauling I 0. 0000I
0. 0000 0. 0000 0. 0000 0. 0000 0.0000 0. 0000 0. 0000 0.0000 0. 0000 0. 0000 0.0000 0. 0000 0.0000 0. 0000 0. 0000
Vendor 0.0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0.0000 0.0000 0. 0000 0. 0000 0. 0000
Worker 0. 0000 0. 0000 0. 0000 0.0000 0. 0000 0.0000 0. 0000 0. 0000 0.0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
Total 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0.0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000 0. 0000
lin
ILL INGWt) / , / NG. 1111B Acoustics ® Air Quality 11
I bVillolvbrook Courl, ,Suile 120
Petaluma, California 94954
Tel: 707- 794- 0400 Iiat:: 707- 794- 0405
rtnvw. 111ing vorthroclkin. coin ilhrn@illingworthrodkin. com
Date: September 14, 2018
To: Natalie MatteiSenior Real Estate Manager
Albertsons Companies
11555 Dublin Canyon Road
Pleasanton, CA 94588
From: James A. Reyff & Fred M. SvinthIllingworth & Rodkin, Inc.
1 Willowbrook Court, Suite 120
Petaluma, CA 94954
RE: Safeway Fuel Center CEQA document - Petaluma, CA
SUBJECT: Safeway Fuel Center Health Risk Assessment, Air Quality and GreenhouseGas Emissions Assessment, and Noise Study - Response to Comments made
by Meridian Consultants - Job# 13- 205
This memo addresses comments made by Meridian Consultants in a letter dated September 12, 2018 to the Petaluma City Council regarding the City' s Mitigated Negative Declaration that usedinformation contained in studies prepared by Illingworth & Rodkin, Inc. ( I& R). These studies
included the Health Risk Assessment ( HRA), Air Pollutant and Greenhouse Gas Emissions
Assessment and the Environmental Noise Assessment.
AIR QUALITY AND HEALTI-t RISK
CalEEMod Modeling
The I -IRA and Air Pollutant and Greenhouse Gas Emissions Assessment modeled the project as a
16 -pump fuel station using default CalEEMod modeling settings. The 16 -pump fuel station landuse is assunned to include some sort of building structure, as is typical for such land uses. ' rhe
operational air pollutant and greenhouse gas ( GHG) emissions are associated with traffic generated
by the fuel station ( including idling of vehicles) and not the kiosk building. The addition of the697 - square foot building would have a negligible effect on the emissions modeling. CalEEMod
generates construction default conditions for projects based on the size range in acreage, which is
Memo to Natalie Mattei
September 14, 2018 -- Page 2
based on surveys conducted by the South Coast Air Quality Management District ( SCAQMD) I. The project falls into the category of a I - acre project. Changing the acreage to 0. 7 acres or addingin the additional square footage of the kiosk building would not change the construction periodemissions ( this was verified with the model). Note that Safeway offered -and the City' s PlanningCommission conditioned the project to use, at a minimum, construction equipment that meets U. S.
EPA Tier 3 standards to reduce construction period emissions and associated health risks even
further than the less than significant amounts reflected in the reports.
As described above, the CalEEMod default construction assumptions were used. This included a
grading phase where the Commenter suggests a trenching phase should have been used in lieu ofthe CalEEMod defaults. CaIEEMod does not have a defined trenching phase and the model defaultsite preparation, grading and paving phases were assumed to include activity associated with theground work phase of the project. The Conunenter notes that there would be some export of
material not reflected in the modeling; however, that material would be used to balance the site. There would be approximately 75 truckloads of material need to complete the site balance that wasnot included in the modeling. This amount would not substantially affect the constructionemissions estimate. As shown in the HRA results for operation, the contribution of truck traffic
associated with annual operation of the project is negligible and the amount of truck traffic required
during construction would be less.
Health Risk Assessment
The Commenter claims that the HRA should have used the AERMOD dispersion model insteadof the ISCST3 model used. This was conducted in accordance with the Bay Area Air QualityManagement District' s ( BAAQMD) guidance, since there are representative meteorological data
available for Petaluma that are suitable for use with the ISCST3 model. There are no representative
meteorological data available for Petaluma that are suitable for use with the AERMOD model.
As described in the BAAQMD Recommended Methods for Screening and Modeling Load Risksand Hazards, refined modeling is recommended for projects in which the screening analysisexceeds the thresholds or a more site- specific characterization is required because it is complex
with multiple sources. Refined models such as ISCST3 and AERMOD require much more site-
specific information, but yield greater characterization of the project and more representativeresults. The BAAQMD recommended models for use in refined modeling analysis include theISCST3 and AERMOD models. 2
While the AE1640D dispersion is the current EPA recommended refined dispersion model for
regulatory applications, as described in the EPA Guideline on Air Qualio Models, the EPA' sISCST3 refined dispersion model is considered an alternative model that can be used when
approved by the reviewing regulatory ( i. e., the BAAQMVm As detailed above, the current
BAAQMD modeling guidance recommends the use of cither the AERMOD or ISCST3 modelsfor CEQA related health risk assessments.
CalEEMod Users Guide, Appendix. E, Technical Source Documentation, Appendix E1, ppE- 1 through E- 4.
2 Recommended Methods for Screening and Modeling Local Risks and Hazards, Bay Area Air Quality Management DistrictBAAQMD). May 2012.
l Guideline on Air Quality Models, Appendix W of 40 CFR Part 51.
Memo to Matalie Mattei
September 14, 2018 -- Page 3
For this project, local meteorological data for use in the AF,RMOD model was not available from
the BAAQMD. However, hourly meteorological data for use with the ISC,ST3 model from thePetaluma Airport meteorological station were available from the BAAQMD and used for the
refined modeling in the IIRA. Diesel. Fuel
Operation of the project was modeled as only dispensing gasoline, The reactive organic gas ( ROG) emissions from diesel are negligible when compared to gasoline. For this reason, the BAAQMD
permit does not specifically address diesel fuel storage and dispensing. Volatility is a property ofa liquid fuel that defines its evaporation characteristics and emissions potential. The vapor
pressure of a fuel is a common measure of the volatility or potential for evaporative emissions tooccur. The higher the vapor pressure of the fuel, the greater the potential for evaporative
emissions, The vapor pressure of diesel fuel is about 500 tidies lower than that of gasoline,
depending on the gasoline formulation being used and time of year'. Therefore, evaporative ROG
emissions from diesel fuel are negligible. This is the reason why fuel nozzles for diesel fuel pumpsgreen nozzles) do not have vapor recovery devices on them while the gasoline nozzles do,
GREENHOUSE GAS Em-ISSIONS
A full analysis of the project' s greenhouse gas ( GHG) emissions was conducted. The project' s
Air Pollutant and Greenhouse Gas Emissions Assessment computed air pollutant and GHG
emissions with the CalEEMod model using a 16 -pump Gasoline/ Service Station land use andfound them to be less than the 1, 100 metric ton threshold. So, the MNID' s finding that theseemissions are below the thresholds is well supported by the modeling results contained in the airquality studies. We note that the computations of operational emissions included conservative
assumptions:
Use of the CalEEMod default customer travel length of over 7 miles instead ofa 3 milesdistance for the typical travel length in Petaluma ( i. e., the emissions modeling assumes
customers, on average, would travel 7 miles to purchase fuel) and
The addition of idling emissions that assume maximum queuing is occurring all day, whilethe default CalEEMod mobile emissions account for some idling.
NOISE
Calculation of Noise bevels at Sensitive Receptors vs. Proper1y binesThe noise analysis considers impacts at the location of the actual sensitive receptors which follows
the intent of the City' s IZO that impacts should be evaluated at public or private open/ outdoorspaces where noise sensitive users will actually be present. As such the front yards of the
residences across South McDowell Blvd, while technically private open space, are not truly usedfor outdoor enjoyment due to visual and noise exposure to South McDowell traffic. Similarly, theschool lands between the Maria Drive property line and the school building are generally used forstorage and other passive use with active outdoor play areas beyond the building setbacks.
However, even if the analysis were to consider noise levels at the property tines of these usesaverage project -operational noise levels in these areas would only increase by up to 2 dBA, would
4t1. S. FPA AP -42 Volume of Emission Factors, Section 7. 1 Organic. Liquid Tanks, September 1997.
4
Mento to Natalie Mattci
September 14, 2018 — Page 4
remain either below or within the range of current daytime and nighttime noise levels at the
adjacent noise sensitive uses as found in the analysis and would not result in noise impacts greater
than what are discussed in the MND.
Construction Noise Impacts
The establishment of intermittent high noise levels of 70 to 85 dBA is based on the Typical Ranges
of Leq Construction Noise Levels per the U.SYPA document and accepted fixed sourceattenuation rates referenced in the report. The use of the criteria, which holds that temporaryconstruction activities that produce noise levels exceeding 60 dBA Leq or the ambient noiseenviromnent by 5 dBA Leq for a period greater than I year, is established to address CEQA noisechecklist item d1 and in doing so defines temporary as less than I calendar year ( or building season) and substantial as 60 dBA Leq ( the City general Plan Ambient) or 5 dBA (considered a significantincrease). This significance criteria is a well- established measure for evaluating construction noisesignificance and I& R has used it in many past and current noise studies in Petaluma and throughoutCalifornia. Although existing residences and the adjacent school have the potential to beintermittently exposed to noise levels ranging from 70 to 85 dBA, project construction would notexceed 60 dBA Leq or the ambient noise environment by 5 dBA Lcq for a period greater than Iyear.
Noise Source Levels
Vehicle noise source levels used in the report are based on I& R' s measurement experience and
California Reference Energy Mean Emissions Level ( RJMELS) modeling values. Though our
measurement experience with vehicular levels vary ( thus the range given), the REMELS model
predicts sound levels of 57 dBA at 25 feet due to a passenger car traveling at 15 mph, and soundlevels of 74 dBA at 50 feet due to a heavy truck traveling at 15 mph. These levels are well withinthe sound level range given in the report.
We would further note that heavy traffic noise source level of 60 dBA at 300 feet referenced bythe commenter are from the CalTrans Technical Noise Supplement, which relates to heavy
highway or roadway traffic and not sound levels produced by individual vehicles or even lighttraffic.
The mechanical equipment noise source levels used in the report are also based on I& R' s
measurement and design experience with commercial HVAC equipment and were given as a wide
range of sound levels to conservatively allow for the possibility of very loud equipment use. Asnoted in the report, equipment sound levels will vary significantly depending upon the equipmenttype and size and could not be fully determined at the time of the report due to schematic natureof the design. In practice we expect that mechanical equipment will produce levels at or below 70
to 80 dBA at 3 feet as noted in the report.
Increases and Decreases in Traffic Noise Levels
As per commonly accepted acoustical practice, the increases and decreases in traffic noise levelswere calculated as a function of the logarithmic relationship of the relative increases in A.M. andP. M. peak hour existing and cumulative traffic volumes with the project compared to the existingand cumulative conditions A.M. and P. M. peak hour conditions without the project.
5 " Would the project result in a substantial temporary or periodic increase in ambient noise levels in the projectvicinity above levels existing without the project?"
Memo to Natalie Mattei
September 14, 2018 — Page S
Reduction of "Conditionally Acceptable" to " Normally Acceptable" Noise LevelsBased on the results of the noise measurement survey and noise analysis, the noise sensitive usesin the project area are currently exposed to " conditionally acceptable" noise levels. The
implementation of the project will not cause a significant noise increase, and not would not
decrease the acceptability of the noise environment at these uses. Furthermore, the project is notrewired to reduce the existing noise envirouunent at the adjacent noise sensitive uses to levelsbelow those which currently exist.
Exhibit C
mwoRTH & RoDKiN / vc. 1l Acoustics - Air Quality / 1
1 PHIlowbr• ook Court, Suite. 120
Petalurun, California 94954
Tel: 707- 794- 0400 Iax: 707- 794- 0405
tvx, iv.illirrgnt, ortlu•odk-irn. eonr illr,o a illingtt, or•tlu,odlcirr. eonr
Date: May 4, 2014
To: Natalie Mattei
Senior Real Estate Manager
Albeitsons Companies
11555 Dublin Canyon Road
Pleasanton, CA 94588
From: James A. ReyffIllingworth & Rodkin, Inc.
I Willowbrook Court, Suite 120
Petaluma, CA 94954
RE: Safeway Fuel Center CEQA document - Petaluma, CA
SUBJECT: Safeway Fuel Center Health Risk Assessment, Response to Comment madeby ESA - Jobll13- 205
We reviewed the comments made by ESA, dated May 7, 2014, and have the followingresponses:
1, Inconsistency with CARB' s Air Quality and Iaand Use Handbook. The commenter
states that the fueling station being 50 feet away from North Bay Children' s Center and McDowellElementary School is too close, citing the California Air Resources Board' s ( CARR) Air Qualityand Land Use Handbook: A Community Health Perspective, April 2005 ( CARB Handbook).
Response: The recommendations in the referenced handbook are inapplicable and outdated. As
an advisory, non- binding document, the CARR Handbook recommends to avoid siting newsensitive land uses within certain proximity of specified gas stations. The Project fuel center doesnot qualify as a sensitive land use such that the recommended guidance does not apply.
Moreover, the analysis conducted for the CARB Handbook ( 2005) was developed using emissionfactors developed in 1999. Since then, CARB has adopted a number of significant advancements
as part of the Enhanced Vapor Recovery ( EVR) program. Phase I EVR, which addresses transferof bulk fuel from transfer tracks, requires more durable and leak - tight components, along with an
Memo to Natalie Matlei
May 8, 2013 -- Page 2
increased collection efficiency of 98 percent. Phase 11 EVR, which addresses fueling of vehicleswho purchase gasoline, includes three major advancements: ( 1) dispensing nozzles with lessspillage and required compatibility with onboard refueling vapor recovery ( ORVR) vehicles, ( 2) a processor to control the static pressure of the ullage, or vapor space, in the underground storage
tank, and ( 3) an in -station diagnostic (. ISD) system that provides warning alatins to alert the
facility operator of potential vapor recovery system malfunctions. Phase I EVR was fullyimplemented in 2005. Phase II EVR was fully implemented between 2009 and 2011. In addition, a majority of the vehicles on the road today have onboard vapor recovery systems. These systemswere phased in beginning with 1998 model year passenger vehicles, and are now installed on allpassenger, light- duty, and medium -duty vehicles manufactured since the 2006 model year. Whenan ORVR vehicle is fueled, almost all the gasoline vapor displaced from the fuel tank is routedto a carbon canister in the vehicle fuel system. As a result of these achievements, emissions of
TACs from gasoline fueling stations are substantially reduced, as indicated in newer emissionfactors developed by CARB in 2013. The guidance in the CARB Handbook thus is out of date,
and it should be noted that the Bay Area Air Quality Management District ( BAAQMD) issued apermit for the facility and allowed a throughput of over 3 times what the facility is anticipated togenerate. BAAQMD was aware of the sensitive receptors nearby when evaluating the permit andnotified the school district and school parents of the pending permit application on August 22, 2013. The City also provided Notice of Intent to Adopt Mitigated Negative Declaration andPublic Hearing to the school district on April 5, 2018.
2. Predicted fuel throughput. The conunenter claims that the analysis underestimated
risks by one- third because it did not use the annual throughput that BAAQMD permitted.
Response:
As stated in the report, the analysis used the throughput that Safeway anticipates generatingbased on market research data. The throughput permitted by BAAQMD is an unrealistic amountthat was calculated based on results of their screening assessment. Safeway does not anticipateto sell anywhere near that much gasoline. Even under the hypothetical scenario, the operational.
risks at the school would increase by a factor of 3 from 0. 69 chances per million to 2. 04 chancesper million such that the overall risk that includes project construction would be 7. 9 chances per
million. This is less than the significance threshold of 10 chances per million. The result of this
unreal scenario does not change the study conclusions.
3. Emission source release height. The comment states that the HRA modeling used
higher release heights that what are normally used.
Response:
Construction: There have been various methods applied to address dispersion modeling ofconstruction sites. The assessment used a release height of 6 meters ( 20 feet) to reflect the elevated
exhaust stacks of equipment plus the plume rise associated with the exhaust momentum and
thermal buoyancy. The 6meter release height used for modeling of the project' s construction
Memo to Natalie Maffei
May 8, 2018 — Page 3
equipment exhaust DPM emissions is considered a conservative estimate of the overall plume
height and incorporates both the release height from the construction equipment ( i. e., the height ofthe exhaust pipe) and plume rise after it leaves the exhaust pipe. Plume rise is due to both the
temperature of the exhaust and the high velocity of the exhaust gas. It should be noted that whenmodeling an area, source plume rise is not calculated by the dispersion model as it is for a pointsource. Therefore, the release Height from an area source used to represent emissions from sources
with plume rise, such as construction equipment, is properly based on Nle expected height of theexhaust plume, not just the height of the top of the exhaust pipe.
The use of a 6 -meter release height is consistent with release heights used by the GARB whenmodeling diesel particulate matter ( DPM) health risk impacts from construction activities. In
describing the methodology used for modeling of DPM emissions from area sources, CARB statesSensitivity studies have shown that there is an initial plume rise fi•om the equipment due to upward
buoyancy and momentum. The release heights of these arca sources were determined to be 5 —
10 meters ( m) depending on equipment type during operation times."' Thus, use of a 6 meter area
source release height is considered appropriate and consistent with CARB regulatory modeling.
On -Road Traffic: Again, there are various methods used to model dispersion fi-om traffic. For
modeling exhaust and fugitive PM2, 5 dust emissions from vehicles on nearby roads the emissionrelease height for heavy- duty vehicles ( trucks) was 3. 4 meters ( 11 feet) and the release height forlight- duty vehicles was 1. 3 meters ( 4. 3 feet). These values are based on release heights
recommended by the US EPA for use in modeling vehicle PM2, 5 emissions ( TransportationConformity Guidance for Quantitative Hot -spot Analyses in PMzs and PMro Nonattainnrent andMaintenance Areas, Appendix J: Additional Reference Information on Air Quality Models andData Inymts.' US EPA December 2010). These release heights are representative of the release
heights from the mix of different types of trucks and other vehicles that comprise the general
categories of heavy-duty and light-duty vehicles.
4. Receptor height for school children.
Response:
The comment is correct in that in the BAAQMD' s Reco n vended Methods for Screening andModeling Local Risks and Hazards ( May 2012) states that " the default value is assumed to be 0. 0m ( i. e., ground -level receptors), but the user may enter 1. 5 meter to represent the height of an averageadult." That is, use of a representative breathing height of a representative individual is appropriatefor use in calculating health risks. In this case, an average breathing height of 1. 5 meters for an adultis acceptable. For a child, use of 1. 0 -meter breathing height is a reasonable assumption for a childsitting or standing in the school area. It would be unreasonable to assume that the children at the schoolwere at a breathing height of 0. 0 meters ( i. e., lying down on the floor) for 10 hours per day.
IJowever, even if a 0. 0 -meter breathing height were used for the modeling there would be no changein the reported cancer risk. Use of a 0. 0 -meter receptor height instead of a 1. 0 -meter receptor height
1 Technical Support Document; Proposed Regulation for 1n - Use Off -Road Diesel Vehicles. California Air Resources Board.
April 2007.
Memo to Natalie Mattei
May 8, 2018 m Page 4
would result in benzene concentration being increased by such a small amount ( i. e., 0. 0002 nicrogramsper cubic meter) that the computed cancer risk would not change.
S. Teacher exposure omitted or under estimated.
Response:
The evaltration focused on identifying the maximum health impacts that would occur and thesewould be for a child. An adult exposure would occur for a longer duration ( 40 years instead of 9
years) at a lower age sensitivity factor (ASF = 1 for adult and 3 for a child/ student) and at a lowerbreathing rate ( 261 L/ kg for an adult instead of 572 L/kg for a child). Thus, the teacher cancer risk
would be 70% that of a student and similarly less than significant. It would actually be a little bitlower since the receptor height for a teacher would be greater than 1. 0 meter and the concentration
at the increased height would be marginally lower.
6. Meteorological ( MET) data.
Response:
The meteorological data used for the HRA were obtained from the BAAQMD and are the same
data that the BAAQMD used in modeling impacts from roadways and developing health riskscreening tables described in Reconnnended Methods for Screening and Modeling Local Risks andHazards ( May 2012). As described by the BAAQMD, " Meteorological data used were the latest
year available for each of 64 stations in the Bay Area. Most of the observed meteorological datawere from the period 2000 to 2008, but earlier years were used to maximize spatial coverage. The
earliest data set used was from 1970. These years were all assumed to be representative ofcurrentmeteorological conditions." ( emphasis added.)
7. Pollutant of Concern,
Response:
The comment is correct that there are other TAG components present in gasoline vapors. The
health risk evaluation for gasoline vapors followed the recommendations of CARB' s Gasoline
Service Station Industy-wide Risk Assessment Guidelines, California Air Pollution ControlOfficers Association ( December 1997 and revised November 1, 2001). As discussed in the
Guidelines, " the cancer risk from benzene is by far the determining risk factor compared to theother substances identified in gasoline. Therefore, only benzene emissions are used in this riskassessment procedure." Other compounds in gasoline vapor would insignificantly contribute tocancer and non -cancer health impacts and were not evaluated as part the HRA per the CARR
guidance.
Memo to Natalie Mattei
May 8, 2018 — Page 5
8. Omitted cumulative impacts from nearby gas stations.
Response:
The gasoline stations that the commenter is referring are over 1, 000 feet from the project and thesensitive receptors and therefore, were not considered in the analysis. The Chevron Station is over
1, 100 feet from North Bay Children' s Center/ McDowell Elementary and the Plaza Gas stationUnocal) is about 1, 400 feet. Using screening data obtained from BAAQMD' s Google Earth
Stationary Source Tool and adjusting the distance for 1, 000 feet ( furthest that BAAQMD
adjustment factors apply) indicates that the increase in cumulative cancer risk caused by thosestations would be less than 2 chances per million — an insignificant amount.
9. HRA guidance.
Response:
This assessment addresses the BAAQMD CEQA Guidelines thresholds for community riskimpacts that apply to sensitive receptors ( e. g., school children and residents). It should be noted
that BAAQMD issued a permit for the facility that would have addressed impacts from gasolinedispensing for all types of receptors. The assessment followed the BAAQMD Air Toxies NSR
Program Health Risk Assessment ( HRA) Guidelines ( December 201 G) in evaluating healthimpacts at sensitive receptors. Impacts to worker receptors were not evaluated. The comment is
correct in that the BAAQMD HRA guidance ( section 2. 2) for gasoline dispensing facilitiesspecifies using older 2003 & 2009 OEI4FIA risk assessment guidance. For a student ( child)
exposure the only difference between the current BAAQMD guidance and the previous 2003 & 2009 OEHHA guidance is in the value used for a child breathing rate. The current BAAQMD
guidance specifies a child breathing rate of 572 L/ kg-day while the 2003 OEFIHA guidancespecifies a breathing rate of 581 L/kg-day.
The school child cancer risk from benzene emissions fi•onn the proposed gasoline dispensingfacility would increase by 0. 01 in one million when using the 2003 OEHHA guidance comparedto the current BAAQMD guidance. That is the contribution to increased cancer risk would change
from 0. 39 in one million (new BAAQMD guidance) to 0. 40 in one million ( 2003 & 2009 OEHHA
guidance. The increased cancer risk is still far less than significant.