CAMx-PSAT Source Apportionment Modeling Results

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CAMx-PSAT Source Apportionment Modeling Results Stationary Sources Joint Forum Salt Lake City, UT August 17, 2006

description

CAMx-PSAT Source Apportionment Modeling Results. Stationary Sources Joint Forum Salt Lake City, UT August 17, 2006. Source Apportionment Technique. CAMx air quality model with PM Source Apportionment Technology (PSAT) PSAT being completed for 2 cases: Plan 2002c Base 2018b - PowerPoint PPT Presentation

Transcript of CAMx-PSAT Source Apportionment Modeling Results

Page 1: CAMx-PSAT Source Apportionment Modeling Results

CAMx-PSATSource Apportionment

Modeling Results

Stationary Sources Joint Forum

Salt Lake City, UT

August 17, 2006

Page 2: CAMx-PSAT Source Apportionment Modeling Results

Source Apportionment Technique

• CAMx air quality model with PM Source Apportionment Technology (PSAT)

• PSAT being completed for 2 cases:– Plan 2002c– Base 2018b

• Tracks sources of sulfate and nitrate• Tracking organic carbon too computationally

intensive. However, data is available that delineates primary OC, from biogenic SOA, and anthropogenic SOA.

Page 3: CAMx-PSAT Source Apportionment Modeling Results

18 Source Regions on a 36 km Grid

- 2 7 3 6 - 2 4 1 2 - 2 0 8 8 - 1 7 6 4 - 1 4 4 0 - 1 1 1 6 - 7 9 2 - 4 6 8 - 1 4 4 1 8 0 5 0 4 8 2 8 1 1 5 2 1 4 7 6 1 8 0 0 2 1 2 4 2 4 4 8- 2 0 8 8

- 1 8 7 2

- 1 6 5 6

- 1 4 4 0

- 1 2 2 4

- 1 0 0 8

- 7 9 2

- 5 7 6

- 3 6 0

- 1 4 4

7 2

2 8 8

5 0 4

7 2 0

9 3 6

1 1 5 2

1 3 6 8

1 5 8 4

1 8 0 0

26

9

1 2

4

58

1 3

1 13

1 7

1 5

1 5

1 6

1 6

1 6

1 8 1 8

1 4

1 7

1 4

1 0

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Eight Source Categories

• Examples of PSAT “sources”:– MV_CO = mobile sources in Colorado– PT_CE = point sorces in CENRAP– BCON = transport from modeling domain boundaries (derived from

GEOS-CHEM)

ICON Initial conditions

BCON Boundary conditions

PT Point sources

MV Mobile sources

ANF WRAP anthropogenic fires

Natural WRAP natural fires and biogenics

NWF Elevated fires in other RPOs

AR All other sources (non-elevated fires in other RPOs, area sources, offshore, oil & gas area sources, etc.)

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Status of Modeling

• Plan 2002c just completed• Base 2018b to be completed by end of August

– Several months currently completed• Results currently available for daily and monthly

averages• Results will be provided for 20% best and worst

visibility days at each Class I area

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Alternative Formats forPresenting Results

• All examples are for July SO4• All examples pair 2002 and 2018 on same chart• Format 1: Top 10 sources (TONT, GRCA, ROMO, BADL)

• Format 2: By source region (BADL)

• Format 3: By source category (BADL)

• Format 4: By source “controlability” (BADL)

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Current Format

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Tonto Monthly Average CAMx/PSAT SO4 Concentrations (July 2002)

0.00

0.05

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BCON

MX_P

T

EA_PT

CE_PT

OF_Are

a

AZ_PT

AZ_MV

OF_PT

MX_A

rea

NV_PT

SUM_O

THER

SO

4 C

on

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g/m

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2002 2018

Alternate Format 1 – Top 10 Sources

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Grand Canyon Monthly Average CAMx/PSAT SO4 Concentrations (July 2002)

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BCON

MX_P

T

OF_Are

a

NV_PT

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2002 2018

Alternate Format 1 – Top 10 Sources

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Rocky Mountain Monthly Average CAMx/PSAT SO4 Concentrations (July 2002)

0.00

0.05

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CO_PT

BCON

CE_PT

EA_PT

WY_P

T

MX_P

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CO_MV

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a

UT_Nat

ural

SUM_O

THER

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g/m

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2002 2018

Alternate Format 1 – Top 10 Sources

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Badlands Monthly Average CAMx/PSAT SO4 Concentrations (July 2002)

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CE_PT

EA_PT

BCON

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ND_PT

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T

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a

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CN_Are

a

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2002 2018

Alternate Format 1 – Top 10 Sources

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Badlands Monthly Average CAMx/PSAT Sulfate Concentration (July 2002)

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0.05

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AZ

BCON CA CE CN CO EAIC

ON ID MT

MX ND

NM NV OFOR SD UT

WA

WY

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g/m

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2002 2018

Alternate Format 2 – By Region

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Badlands Monthly Average CAMx/PSAT Sulfate Concentration (July 2002)

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ANF Area MV Natural NWF PT BCON

SO

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Alternate Format 3 – By Category

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Badlands Monthly Average CAMx/PSAT Sulfate Concentration (July 2002)

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0.05

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BCON

Canad

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Pacific

_Offs

hore

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nth

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at

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2002 2018

Alternate Format 4 – By “Controlability”

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Slight Decrease in WRAP SO2

2002 and 2018 Base Case Emissions

2002 2018 % Diff 2002 2018 % DiffWRAP (13-States) 1,600,638 1,541,458 -3.7 5,435,028 3,920,338 -27.9 CENRAP 2,697,271 1,944,086 -27.9 5,744,502 3,320,231 -42.2 VISTAS 4,668,107 1,700,254 -63.6 5,505,986 2,532,720 -54.0 MWRPO 3,258,891 2,004,623 -38.5 3,249,972 1,576,097 -51.5 MANE-VU 2,324,216 788,285 -66.1 2,712,780 1,219,770 -55.0 US 14,592,973 8,023,177 -45.0 22,967,136 12,909,057 -43.8 Canada 2,591,763 2,591,763 0.0 3,039,078 3,039,078 0.0 Mexico 801,693 809,369 1.0 531,733 565,528 6.4 TOTAL 17,986,429 11,424,309 -36.5 26,537,947 16,513,662 -37.8

SO2 NOx

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Slight Decrease Due ToLarge Mobile Source Reduction +

Modest Point/Area Source Increase13-State WRAP Region2002 and 2018 Base Case Emissions

2002 2018 % Diff 2002 2018 % DiffPoint 785,552 798,536 1.7 927,448 947,086 2.1 Area 94,282 117,983 25.1 263,838 314,684 19.3 Non Road 70,152 2,037 -97.1 970,486 297,198 -69.4 Onroad 30,029 5,933 -80.2 1,591,639 519,090 -67.4 Fires 55,777 55,777 0.0 212,729 212,729 0.0 Biogenic 0 0 0.0 286,996 286,996 0.0 Oil & Gas Area 3,763 108 -97.1 132,365 293,028 121.4 Pacific Shipping* 561,084 561,084 0.0 1,049,526 1,049,526 0.0 TOTAL 1,600,638 1,541,458 -3.7 5,435,028 3,920,338 -27.9 * Emissions may double in 2018.

SO2 NOx

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WRAP Stationary Area Source SO2 Emissions (2002 tons)AZ CA CO ID MT ND NM NV OR SD UT WA WY Total

Industrial Fuel Comb.Distillate Oil 1,117 249 2,920 90 1,450 3,068 878 7,301 1,453 1,769 3,200 3,461 26,956Bit/Subbit Coal 918 1,746 1,095 508 4,935 6,966 0 750 9,111 26,031Residual Oil 55 2,555 7 254 2,913 396 2,693 752 1,377 11,002

Comm/Inst. Fuel Comb.Bit/Subbit Coal 2 2,054 106 30 63 11 1 1,749 186 1,872 6,076Distillate Oil 361 9 870 16 173 234 257 127 989 225 840 1,076 369 5,548

Other 223 5,501 714 951 550 2,192 1,940 184 4,797 453 992 2,176 1,712 22,384Total 2,677 8,314 6,559 2,916 3,299 5,748 6,559 12,954 9,932 10,167 3,581 7,388 17,902 97,996

Why Do Area Sources Increase?

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The 12 Power Plants Are:Springerville -9,766Coronado -4,249Apache -2,502Comanche -9,837Craig -6,019Cherokee -9,285Arapahoe -1,985Valmont -3,078Mohave -31,646Four Corners -9,415San Juan -2,726Centralia -12,653Total -103,160

Why Do Point Sources Increase?

AZ Point Source ChangesSpringerville+Coronado+Apache -16,516Irvington 2,200Future Coal (AZ) 3,350Future Coal (Navajo-AZ) 1,675Copper 4,562Industrial Gas Boilers -500Mineral Products (cement+lime) 900Total -4,329

Most Significant Changes in WRAPPoint Source SO2 Inventory (13 States)

2002 2018 DiffIndustrial Boilers 44,799 35,413 -9,386Power Plants - 12 Existing 203,753 100,593 -103,160Power Plants - Other Existing 376,948 401,115 24,167Power Plants - New 0 41,750 41,750Primary Copper Smelting 25,043 32,700 7,657Oil & Gas Production 30,958 43,482 12,524Mineral Products 17,113 23,669 6,557Aluminum Ore Reduction 11,061 19,034 7,973TOTAL -11,919

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11-State EGU SO2 Trend

0

100,000

200,000

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400,000

500,000

600,000

700,000

1998 2002 2005 2018b 2018 BART

SO

2 (t

py)

PSAT Modeling Cases

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• For further background information and data on PSAT:

• http://pah.cert.ucr.edu/aqm/308/cmaq.shtml#CAMxBase18b

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