Weight of Evidence Checklist Update - wrapair.org · Weight of Evidence Checklist Update AoH...
Transcript of Weight of Evidence Checklist Update - wrapair.org · Weight of Evidence Checklist Update AoH...
Weight of Evidence Checklist Update
AoH Meeting – Seattle, WAApril 25, 2006
Joe Adlhoch - Air Resource Specialists, Inc.
Review of RHR Visibility Goals
Define current conditions in at each Class I area using the 2000-04 baseline periodDefine “natural conditions”Improve visibility such that the average Haze Index (measured in DECIVIEW) for the 20% worst days in the baseline period reach “natural conditions” by 2064Ensure that visibility on the 20% best days does not degradePeriodically assess the improvement in visibility between the baseline period and 2064 and show that “reasonable progress” is being achieved
Draft WOE Checklist (Step 1)
Summary of available informationGeneral Class I area information (location, size, topography, discussion of importance, etc.)Overview summary of basic data sets:
Visibility monitoringEmission inventories (state and WRAP summaries?)Modeling results
Will vary according to state (e.g., no CMAQ modeling done for AK; some states have international borders)Style will be customized by each state
Draft WOE Checklist (Step 2)
Analysis of visibility conditionsWhat are current (baseline, 2000-04) visibility conditions?
What is the relative importance of each species?
What does the RHR glide path look like?What are estimated natural visibility conditions?What does the model predict for 2018?
Baseline Conditions at Agua Tibia
Species Contribution Sulfate High Nitrate High Organics Medium EC Medium CM Medium Soil Low
Uniform Rate of Reasonable Progress Glide PathAgua Tibia Wilderness - 20% Worst Days
23.022.0
19.3
16.7
14.0
11.4
8.87.2
21.8
0
5
10
15
20
25
2000 2004 2008 2012 2016 2020 2024 2028 2032 2036 2040 2044 2048 2052 2056 2060 2064
Year
Haz
ines
s In
dex
(Dec
ivie
ws)
Glide Path Natural Condition (Worst Days) Observation Method 1 Prediction
RHR Glide Path for Agua Tibia
Model results for the 2018 base case do not predict AguaTibia’s visibility (in terms of deciview) will be on or below the glide path
Draft WOE Checklist (Step 3)
Analysis of visibility conditions by individual species
What do individual species glide paths (measured in extinction) look like?
Need to define natural conditions appropriately (following examples assume “annual average” natural conditions, not 20% worst)Which species show predicted 2018 values at or below the glide path?
Species Glide Paths for Agua Tibia
symbol represents 2018 model prediction
Nitrate, EC, and Soil follow glide path
Sulfate, OM, and CM do not follow glide path
Draft WOE Checklist (Step 4)
Review monitoring uncertainties and model performance for each species
What level of monitoring uncertainties are associated with each species?
Lab uncertainties (can be calculated from IMPROVE data setOther uncertainties (flow rate problems, clogged filters) may be difficult to quantify
How does the model predict the monitoring data?Good model performance is most important for highest contributing speciesWhat does performance look like seasonally and over all?
Median Laboratory Uncertainty of IMPROVE Data Across WRAP
Uncertainty based only on lab reported uncertainties for daily samples (2000 – 2004)
OC, EC, Soil, and CM uncertainty determined from standard propagation of error analysis on individual component termsUncertainty due to flow/size cut errors not included
Monitored Species
Median Uncertainty
(%)Sulfate 5Nitrate 9
Organic C 18Elemental C 47
Soil 4Coarse Mass 12
IMPROVE (top) vs. Model (bottom)
How well are the seasonal variations in each species captured, even if the magnitude is off?
2002 Model Performance, Worst DaysWorst 20% Obs (left) vs Plan02a (right) at AGTI1
0
20
40
60
80
100
120
140
160
59 89 92 134 137 191 212 224 227 230 239 248 284 287 293 296 299 302 305 329 - - - - - avg
Julian Day in Worst 20% group
bEXT
(1/M
m) bCM
bSOILbECbOCbNO3bSO4
Nitrate and Carbon often reasonable
Sulfate somewhat low
CM shows very poor performance
Draft WOE Checklist (Step 5)
Integrate information about each species: monitoring, modeling, and emissions data
Do changes in emissions agree with model predictions for 2018?
How do we know what source region of emissions to compare?Weight emissions by back trajectory residence times for an estimate of potential emissions that might be expected to impact a given Class I area
Do weighted emissions described above support attribution results derived from PSAT and PMF?
Inter-AnnualBaseline Variability (Mm-1)
Baseline MeasurementUncertainty (Mm-1)
Baseline Extinction with Lab Uncertainty
and Variability
Predicted 2018 Extinction
Natural Conditions and Glide Path
Sum of Weighted Emissions
affecting site
Summary Tables
PSAT or PMF Attribution Results (Phase I TSSA shown)
Contributing Source Regions
determined by Back
Trajectory Residence
Times
Inter-AnnualBaseline Variability (Mm-1)
Baseline MeasurementUncertainty (Mm-1)
Inter-AnnualBaseline Variability (Mm-1)
Baseline MeasurementUncertainty (Mm-1)
Agua Tibia, CA
Total SO2 emissions X residence time = weighted emissions
Weighted emissions represent most probable source region emissions which contribute to sulfate at the selected monitoring site.
Measured and Projected Ammonium Sulfate and SO2 Emissions
AGTI1, CA
0
5
10
15
20
25
30
35
40
45
50
2002
2008
2013
2018
2023
2028
2033
2038
2043
2048
2053
2059
2064
Extin
ctio
n (M
m-1
)
0K
300K
600K
900K
1,200K
1,500K
1,800K
2,100K
2,400K
2,700K
3,000K
Emis
sion
s (to
ns/y
ear)
EmissionsAnthropogenic SO2PointAreaOff-Road MobileOn-Road MobileOffshoreOil & GasFireNatural SO2Fire
AerosolAmm. SulfateBaselineglideslope2018 Base Case (v1*)Nat. Conditions
Inter-AnnualBaseline Variability (Mm-1)
Baseline MeasurementUncertainty (Mm-1)
DRAFT* These examples show the sum of all WRAP region emissions
Measured and Projected Ammonium Nitrate and NOX Emissions
AGTI1, CA
0
4
8
12
16
20
24
28
32
36
40
2002
2008
2013
2018
2023
2028
2033
2038
2043
2048
2053
2059
2064
Extin
ctio
n (M
m-1
)
0K
1,000K
2,000K
3,000K
4,000K
5,000K
6,000K
7,000K
8,000K
9,000K
10,000K
Emis
sion
s (to
ns/y
ear)
EmissionsAnthropogenic NOXPointAreaOff-Road MobileOn-Road MobileOffshoreOil & GasFireNatural NOXBiogenicFire
AerosolAmm. NitrateBaselineglideslope2018 Base Case (v1*)Nat. Conditions
Inter-AnnualBaseline Variability (Mm-1)
Baseline MeasurementUncertainty (Mm-1)
DRAFT* These examples show the sum of all WRAP region emissions
Measured and Projected Particulate Organic Material and VOC Emissions
AGTI1, CA
0
2
4
6
8
10
12
14
16
18
20
2002
2008
2013
2018
2023
2028
2033
2038
2043
2048
2053
2059
2064
Extin
ctio
n (M
m-1
)
0K
5,000K
10,000K
15,000K
20,000K
25,000K
30,000K
35,000K
40,000K
45,000K
50,000K
Emis
sion
s (to
ns/y
ear)
EmissionsAnthropogenic VOCPointAreaOff-Road MobileOn-Road MobileOffshoreOil & GasFireNatural VOCBiogenicFire
AerosolOrganic MatterBaselineglideslope2018 Base Case (v1*)Nat. Conditions
Inter-AnnualBaseline Variability (Mm-1)
Baseline MeasurementUncertainty (Mm-1)
VERY DRAFT* These examples show the sum of all WRAP region emissions
Measured and Projected Elemental Carbon and PM2.5 EmissionsAGTI1, CA
0
1
2
3
4
5
6
7
8
9
10
2002
2008
2013
2018
2023
2028
2033
2038
2043
2048
2053
2059
2064
Extin
ctio
n (M
m-1
)
0K
30K
60K
90K
120K
150K
180K
210K
240K
270K
300K
Emis
sion
s (to
ns/y
ear)
Emissions
Anthropogenic PM2.5
Fire
Off-Road Mobile
On-Road Mobile
Natural PM2.5
Fire
Aerosol
Elemental Carbon
Baseline
glideslope
2018 Base Case (v1*)
Nat. Conditions
Inter-AnnualBaseline Variability (Mm-1)
Baseline MeasurementUncertainty (Mm-1)
VERY DRAFT* These examples show the sum of all WRAP region emissions
Measured and Projected Coarse Mass and PMC Emissions
AGTI1, CA
0
1
2
3
4
5
6
7
8
9
10
11
12
2002
2008
2013
2018
2023
2028
2033
2038
2043
2048
2053
2059
2064
Extin
ctio
n (M
m-1
)
0K
1,000K
2,000K
3,000K
4,000K
5,000K
6,000K
7,000K
8,000K
9,000K
10,000K
11,000K
12,000K
Emis
sion
s (to
ns/y
ear)
EmissionsAnthropogenic PMCPointAreaOff-Road MobileOn-Road MobileFireDustNatural PMCFireDust
AerosolCoarse MassBaselineglideslope2018 Base Case (v1*)Nat. Conditions
Inter-AnnualBaseline Variability (Mm-1)
Baseline MeasurementUncertainty (Mm-1)
VERY DRAFT* These examples show the sum of all WRAP region emissions
Measured and Projected Soil and PM2.5 Emissions
AGTI1, CA
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
2002
2008
2013
2018
2023
2028
2033
2038
2043
2048
2053
2059
2064
Extin
ctio
n (M
m-1
)
0K
200K
400K
600K
800K
1,000K
1,200K
1,400K
1,600K
1,800K
2,000K
Emis
sion
s (to
ns/y
ear)
Emissions
Anthropogenic PM2.5
Off-Road Mobile
On-Road Mobile
Fire
Dust
Natural PM2.5
Fire
Dust
Aerosol
Soil
Baseline
glideslope
2018 Base Case (v1*)
Nat. Conditions
Inter-AnnualBaseline Variability (Mm-1)
Baseline MeasurementUncertainty (Mm-1)
VERY DRAFT* These examples show the sum of all WRAP region emissions
Draft WOE Checklist (Step 6)
Investigate specific questions that arise in steps 2 – 6Review historical trends (if sufficient data exists)Review distributions of IMPROVE mass, and expected changes predicted by the modelReview natural, episodic events for their potential impactDo the results so far make sense? If not, deeper investigation of data sets may be requiredAre there reasonable explanations for species that show and don’t show progress along the glide path?Consider the other factors mandated by the RHR to determine reasonable progress
Draft WOE Checklist (Step 7)
Repeat steps 2 – 6 with emissions and model results from various control strategies
How do specific control strategies affect the outcome?
Draft WOE Checklist (Step 8)
Review available attribution information and determine which states need to consult about which Class I areas
PSAT will be available for sulfate and nitrate (and possible some portion of organics)PMF will be available for all species (?), but may be used primarily for carbon (?)Emissions weighted by residence times will be available for all species (pending certain sensitivity tests and caveats)