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CAMx-PSAT Source Apportionment Modeling Results

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Presentation on theme: "CAMx-PSAT Source Apportionment Modeling Results"— Presentation transcript:

1 CAMx-PSAT Source Apportionment Modeling Results
Stationary Sources Joint Forum Meeting November 14, 2006 Tempe, AZ

2 Source Apportionment Technique
CAMx air quality model with PM Source Apportionment Technology (PSAT) Tracks sources of sulfate and nitrate PSAT completed for 2 cases: Plan 2002c Base 2018b

3 18 Source Regions on a 36 km Grid

4 Eight Source Categories
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.) 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)

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6 Contribution of Colorado Mobile Sources
to January 2002 Average NO3 Concentration

7 Contribution of Colorado Mobile Sources
to January 2018 Average NO3 Concentration

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11 Contribution of Boundary Conditions to August 2018
Average SO4 Concentration

12 Contribution of Canada Point Sources to August 2018
Average SO4 Concentration

13 Contribution of CENRAP Point Sources to August 2018
Average SO4 Concentration

14 Contribution of Mexico Point Sources to August 2018
Average SO4 Concentration

15 Contribution of Pacific Ocean Sources to August 2018
Average SO4 Concentration

16 Contribution of Colorado Point Sources to August 2018
Average SO4 Concentration

17 Contribution of Wyoming Point Sources to August 2018
Average SO4 Concentration

18

19 Summary WRAP point sources are a significant contributor to SO4 and NO3 at many Class I areas However, reasonable progress towards meeting natural conditions, especially beyond 2018, will require additional strategies.

20 For More Information Modeling results available at:
WRAP Technical Support System WRAP Regional Modeling Center


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