1 / 15

1997 Southern California Ozone-NARSTO Study: Preparation of the 1997 Gridded Emission Inventory

1997 Southern California Ozone-NARSTO Study: Preparation of the 1997 Gridded Emission Inventory. Dale Shimp SCOS97-NARSTO Conference Presentation February 14, 2001. INTRODUCTION. Comprehensive emission inventory for the entire SCOS97 domain Large study domain with multiple agencies

vivian
Download Presentation

1997 Southern California Ozone-NARSTO Study: Preparation of the 1997 Gridded Emission Inventory

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. 1997 Southern California Ozone-NARSTO Study: Preparation of the 1997 Gridded Emission Inventory Dale Shimp SCOS97-NARSTO Conference Presentation February 14, 2001

  2. INTRODUCTION • Comprehensive emission inventory for the entire SCOS97 domain • Large study domain with multiple agencies • Inventory to be used for both SCOS97 study and Southern California air quality plans • Need for hourly, daily emission inventory data • Built upon lessons learned from past studies

  3. LESSIONS FROM EARLIER STUDIES • Need for day-specific traffic data to answer hour-of-day/day-of-week activity issues • Improved information on off-road mobile sources especially ships and aircraft • Improved biogenic emission inventory

  4. LESSIONS FROM EARLIER STUDIES • Development of updated and improved spatial allocation factors • Stack and locational information often incomplete or missing

  5. ORGANIZING THE PROCESS • Identify responsible agencies and contractors • Emission Inventory Working Group (EIWG) • Identify annual average and day-specific data needs

  6. EIWG Members • California Air Resources Board • Local Air Pollution Control Agencies • United States EPA • United States Navy

  7. ROLE OF EIWG • Emission Inventory Collection and Reporting • Define Inventory Needs • Technical Support Group • Quality Assurance • Keep Project on Schedule

  8. DAY-SPECIFIC INFORMATION • Stationary Sources • On-Road Mobile Sources • Off-Road Mobile Sources • Non-Anthropogenic Sources

  9. ROLES & RESPONSIBILITIES

  10. DAY-SPECIFIC INFORMATIONCOLLECTION • Collect hourly, day-specific emission data from stationary sources • Collect hourly motor vehicle traffic count information on major state highways • Collect hourly aircraft activity data

  11. DAY-SPECIFIC INFORMATIONCOLLECTION (continued) • Collect hourly ship activity data at ports • Collect daily wildfire information • Develop a comprehensive biogenic inventory for the entire SCOS97 study domain

  12. MODELING EMISSION INVENTORY DEVELOPMENT Adopted a two-tier approach to the development of the modeling emission inventory • First Tier - will provide modelers with a “fast-track” inventory based on annual average data • Second Tier - will provide modelers with a “final” inventory with all day-specific data

  13. FAST-TRACK EMISSION INVENTORY • Preliminary Domain-Wide Modeling Inventory • 1996 Annual Average Emission Inventory • Day-Specific Wildfire Information • Used to Test Model Performance

  14. FINAL EMISSION INVENTORY • Integration of Day-Specific Information • Application of 1997 Spatial Surrogates • Weekend Inventories • Future Year Inventories

  15. SUMMARY • Key to success was hard work and interagency cooperation • Regular EIWG meetings minimized problems and misunderstandings and helped maintain schedule • Proactive problem solving approach by focusing on inventory deficiencies from earlier studies • Adopted a two-tier approach for developing a modeling emission inventory

More Related