wrap camx-psat source apportionment modeling results

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WRAP CAMx-PSAT Source Apportionment Modeling Results Implementation Workgroup Meeting August 29, 2006

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WRAP CAMx-PSAT Source Apportionment Modeling Results. Implementation Workgroup Meeting August 29, 2006. Source Apportionment Technique. Regional gridded photochemical CAMx air quality aerosol model with PM Source Apportionment Technology (PSAT) - PowerPoint PPT Presentation

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Page 1: WRAP CAMx-PSAT Source Apportionment Modeling Results

WRAP CAMx-PSATSource Apportionment

Modeling Results

Implementation Workgroup Meeting

August 29, 2006

Page 2: WRAP CAMx-PSAT Source Apportionment Modeling Results

Source Apportionment Technique

• Regional gridded photochemical CAMx air quality aerosol model with PM Source Apportionment Technology (PSAT)

• Similar to CMAQ TSSA method used in AoH Phase I report, best available modeling analysis technique for source apportionment

• PSAT completed for 2 cases:

– Plan02c• 2000-04 average fire emissions, same time & place

• 2000-03 CAMD sources’ monthly average SOx/NOx profiles by state

– Base18b – rules on the books controls and growth

• Tracked sources of sulfate and nitrate

• Tracking organic carbon too computationally intensive

Page 3: WRAP CAMx-PSAT Source Apportionment Modeling Results

Organic Carbon Source Apportionment

• PSAT work does not include treatment of primary & secondary organic aerosols:– CMAQ already completed includes 3 OC species

• primary organic aerosols

• anthropogenic secondary organic aerosols

• biogenic secondary organic aerosols

– Analysis of these species for the various existing model runs will provide additional information on OC apportionment

Page 4: WRAP CAMx-PSAT Source Apportionment Modeling Results

Source Apportionment Modeling

• White paper describing CAMx PSAT modeling: www.cert.ucr.edu/aqm/308/docs

Page 5: WRAP CAMx-PSAT Source Apportionment Modeling Results

PSAT: 18 Source Regions on a 36 km Gridplus Initial and Boundary Conditions

- 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

Page 6: WRAP CAMx-PSAT Source Apportionment Modeling Results

PSAT: 6 Source Categories

• Examples of PSAT results: “source by region”:Examples of PSAT results: “source by region”:– MV_CO = mobile sources in ColoradoMV_CO = mobile sources in Colorado– PT_CE = point sources in CENRAPPT_CE = point sources in CENRAP

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.)

Page 7: WRAP CAMx-PSAT Source Apportionment Modeling Results

Status of PSAT Modeling

• Plan02c & Base18b just completed last week• Results presented here are examples• Direct access to all results & custom displays available through

TSS - later in this talk• Results on RMC web page include:

– Preconfigured bar charts & maps of monthly average source contributions by region

– Contributing sources & regions on 20% best & 20% worst visibility days at each Class I area

• http://pah.cert.ucr.edu/aqm/308/cmaq.shtml– See: Table 2. CAMx Visibility Modeling and Source

Apportionment Results.

Page 8: WRAP CAMx-PSAT Source Apportionment Modeling Results

Example Contributing Source Categories on 20% Worst Days Agua Tibia, CA Salt Creek, NM

Page 9: WRAP CAMx-PSAT Source Apportionment Modeling Results

Example Contributing Source Categories on 20% Worst DaysBadlands, SD Sawtooth, ID

Page 10: WRAP CAMx-PSAT Source Apportionment Modeling Results

Example Top 10 Contributing Source Regions on 20% Worst DaysAgua Tibia, CA Salt Creek, NM

Page 11: WRAP CAMx-PSAT Source Apportionment Modeling Results

Example Top 10 Contributing Source Regions on 20% Worst DaysBadlands, SD Sawtooth, ID

Page 12: WRAP CAMx-PSAT Source Apportionment Modeling Results

Example Contributing Source Regions on 20% Worst DaysAgua Tibia, CA Salt Creek, NM

Page 13: WRAP CAMx-PSAT Source Apportionment Modeling Results

Example Contributing Source Regions on 20% Worst DaysBadlands, SD Sawtooth, ID

Page 14: WRAP CAMx-PSAT Source Apportionment Modeling Results

Example Contributing Source Controllability on 20% Worst DaysAgua Tibia, CA Salt Creek, NM

Page 15: WRAP CAMx-PSAT Source Apportionment Modeling Results

Example Contributing Source Controllability on 20% Worst DaysBadlands, SD Sawtooth, ID

Page 16: WRAP CAMx-PSAT Source Apportionment Modeling Results

Example Monthly Average Source Contribution Maps

Page 17: WRAP CAMx-PSAT Source Apportionment Modeling Results

Example Monthly Average Source Contribution Maps

Page 18: WRAP CAMx-PSAT Source Apportionment Modeling Results

Example Monthly Average Source Contribution Maps

Page 19: WRAP CAMx-PSAT Source Apportionment Modeling Results

Example Monthly Average Source Contribution Maps

Page 20: WRAP CAMx-PSAT Source Apportionment Modeling Results

PSAT: Errors/Uncertainties

• Additional errors have been discovered in the emissions inventories:– Base18b non-WRAP EGU emissions were

underestimated.– PM2.5 emissions in the WRAP road dust inventory.– RNC is evaluating the effects of these errors.

Page 21: WRAP CAMx-PSAT Source Apportionment Modeling Results

Effects of non-WRAP EGU errorJuly August

September

Page 22: WRAP CAMx-PSAT Source Apportionment Modeling Results

Effect on PSAT results of non-WRAP EGU error

• Air quality prediction effects on WRAP states are relatively small.

• Small overestimate of base case progress in 2018 for eastern tier of WRAP region states.

• Base18b sufficient as starting point for development of regional haze control strategies

• Will correct non-WRAP region EGU error in “Control18” series of modeling simulations in 2007

Page 23: WRAP CAMx-PSAT Source Apportionment Modeling Results

WRAP TSS PSAT Display Tool

http://vista.cira.colostate.edu/tss/Tools/SA.aspx