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SCOS97 Emissions Inventory Mena Shah SCOS97-NARSTO DATA ANALYSIS CONFERENCE February 14, 2001 Diamond Bar
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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
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Emissions Inventory Development Process l SCOS97-EIWG l Quality Control and Quality Assurance Plan l Day-Specific Data Collection l Data Management l Peer Review
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Roles & Responsibilities
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Stationary Sources = Local districts collected hourly activity 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
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Area Sources o Districts are responsible for over one-half of the 260 area source categories in the statewide annual emission inventory o No day-specific information was collected for area-wide sources
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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
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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
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Ships l Actual ship activity data from MAREX, Ports, U.S. Navy l Actual speed data from MAREX l Ship-specific engine characteristics data from JJMA l Emission factors from ARCADIS, Lloyds Registry
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Biogenic l (GIS) Land use and land cover maps from the GAP, Kern County, SCAG and SANDAG l Leafmass Distribution –LAI from Nikolov l Emission rates compilation from peer review literature
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Wildfires l Information on wildfires was obtained from CDF, USFS, BLM, BIA, local news l Extensive daily activity data collected for the entire study period l Emission factors were obtained from USFS
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Emissions Summary (*tpd for August 5, 1997)
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ROG Emissions (w/o Fires)
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NOx Emissions (w/o Fires)
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CO Emissions (w/o Fires)
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PM Emissions (w/o Fires)
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ROG Emissions - 700 hrs
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ROG Emissions - 1200 hrs
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ROG Emissions - 1600 hrs
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NOx Emissions - 700 hrs
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NOx Emissions - 1200 hrs
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NOx Emissions - 1600 hrs
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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
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Acknowledgements k Paul Allen k Cheryl Taylor k Dale Shimp k Zorik Pirveysian k Reyes Romero k Alan De Salvio k Alan Ballard k Joe Petrini k Carl Selnick k Iovanka Todt k Genie McGaugh k John DaMassa
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Contact and Information ARB Emissions Contact: Mena Shah mshah@arb.ca.gov 916-324-7165 ARB Web Site: http://www.arb.ca.gov/ ARB Emissions Contact: Mena Shah mshah@arb.ca.gov 916-324-7165 ARB Web Site: http://www.arb.ca.gov/
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