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SCOS97 Emissions Inventory

SCOS97 Emissions Inventory. Mena Shah SCOS97-NARSTO DATA ANALYSIS CONFERENCE February 14, 2001 Diamond Bar. Introduction . Relationship between emissions, interbasin transport, and ozone standard exceedances Facilitate planning for further emission reductions needed to attain the NAAQS

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SCOS97 Emissions Inventory

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  1. SCOS97 Emissions Inventory Mena Shah SCOS97-NARSTO DATA ANALYSIS CONFERENCE February 14, 2001 Diamond Bar

  2. Introduction • Relationship between emissions, interbasin transport, and ozone standard exceedances • Facilitate planning for further emission reductions needed to attain the NAAQS • Accurate day-specific emission inventories are crucial for the study

  3. Emissions Inventory Development Process • SCOS97-EIWG • Quality Control and Quality Assurance Plan • Day-Specific Data Collection • Data Management • Peer Review

  4. Roles & Responsibilities

  5. Stationary Sources • Local districts collected hourly activi ty data from facilities such as power plants, petroleum refineries, utility companies, oil companies, etc • Continuous emission monitoring (CEMS) data were collected from some major facilities • For some facilities information on daily emission profiles was obtained • Information on temporary breakdowns, shutdowns, and variances was collected

  6. Area Sources • Districts are responsible for over one-half of the 260 area source categories in the statewide annual emission inventory • No day-specific information was collected for area-wide sources

  7. Mobile Sources • Use EMFAC and DTIM models for estimating emissions • Transportation network from CALTRANS, COGs • UCD developed day-of-week adjustments • Emission estimates from some non-road sources came from the OFFROAD model

  8. Aircraft • Collected most comprehensive real-time aircraft activity data from private contractor • Activity data at different altitude and speed were collected • Developed aircraft type-engine model linkages • Emission factors from EDMS • PM emission factors from CDM

  9. Ships • Actual ship activity data from MAREX, Ports, U.S. Navy • Actual speed data from MAREX • Ship-specific engine characteristics data from JJMA • Emission factors from ARCADIS, Lloyds Registry

  10. Biogenic • (GIS) Land use and land cover maps from the GAP, Kern County, SCAG and SANDAG • Leafmass Distribution –LAI from Nikolov • Emission rates compilation from peer review literature

  11. Wildfires • Information on wildfires was obtained from CDF, USFS, BLM, BIA, local news • Extensive daily activity data collected for the entire study period • Emission factors were obtained from USFS

  12. Emissions Summary (*tpd for August 5, 1997)

  13. ROG Emissions (w/o Fires)

  14. NOx Emissions (w/o Fires)

  15. CO Emissions (w/o Fires)

  16. PM Emissions (w/o Fires)

  17. ROG Emissions - 700 hrs

  18. ROG Emissions - 1200 hrs

  19. ROG Emissions - 1600 hrs

  20. NOx Emissions - 700 hrs

  21. NOx Emissions - 1200 hrs

  22. NOx Emissions - 1600 hrs

  23. Summary • Key to the Project = TEAMWORK • Successful multi-agency approach leads to the development of a quality inventory • Aircraft emissions - First attempt to estimate emissions above the average mixing height • Ship emissions have considerable day-to-day variation • Wildfire emissions vary greatly day-to-day during SCOS97 episodes

  24. Paul Allen Cheryl Taylor Dale Shimp Zorik Pirveysian Reyes Romero Alan De Salvio Alan Ballard Joe Petrini Carl Selnick Iovanka Todt Genie McGaugh John DaMassa Acknowledgements

  25. Contact and Information ARB Emissions Contact:Mena Shahmshah@arb.ca.gov916-324-7165ARB Web Site:http://www.arb.ca.gov/

  26. END

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