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

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Presentation on theme: "SCOS97 Emissions Inventory Mena Shah SCOS97-NARSTO DATA ANALYSIS CONFERENCE February 14, 2001 Diamond Bar."— Presentation transcript:

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 l SCOS97-EIWG l Quality Control and Quality Assurance Plan l Day-Specific Data Collection l Data Management l Peer Review

4 Roles & Responsibilities

5 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

6 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

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 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

10 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

11 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

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 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

25 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/

26 END


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