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 = Accurate day-specific emission inventories are crucial for the study

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

Roles & Responsibilities

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

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

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

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

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

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

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

Emissions Summary (*tpd for August 5, 1997)

ROG Emissions (w/o Fires)

NOx Emissions (w/o Fires)

CO Emissions (w/o Fires)

PM Emissions (w/o Fires)

ROG Emissions hrs

ROG Emissions hrs

ROG Emissions hrs

NOx Emissions hrs

NOx Emissions hrs

NOx Emissions hrs

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

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

Contact and Information ARB Emissions Contact: Mena Shah ARB Web Site: ARB Emissions Contact: Mena Shah ARB Web Site:

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