SENSIVITY OF URBAN AIRSHED MODEL RESULTS FOR TEST FUELS TO UNCERTAINTIES IN LIGHT-DUTY VEHICLE AND BIOGENIC EMISSIONS AND ALTERNATIVE CHEMICAL MECHANISMS - AUTO/OIL AIR QUALITY IMPROVEMENT RESEARCH PROGRAM

Three sources of uncertainty in the air quality modeling performed for the Auto/Oil Air Quality Improvement Research Program, Phase 1, were investigated to assess their impact on predicted ozone for test fuels in Los Angeles in the year 2010. First, quadrupling the estimated total organic gas (TOG) and tripling the CO emissions from light-duty gasoline vehicles in the air quality model increases the predicted peak ozone, as expected. Second, replacing the original biogenic emission inventory with an alternative inventory having substantially lower biogenic emissions reduces the predicted peak ozone. Third, replacing the Carbon Bond Mechanism version IV (CBM-IV) in the air quality model with an alternative representation of atmospheric chemistry, the Statewide Air Pollution Research Centre (SAPRC) mechanism, increases the peak ozone by about 9%. Results of these investigations are presented.

  • Availability:
  • Corporate Authors:

    Elsevier

    The Boulevard, Langford Lane
    Kidlington, Oxford  United Kingdom  OX5 1GB
  • Authors:
    • CHOCK, D P
    • YARWOOD, G
    • DUNKER, A M
    • Morris, R E
    • Pollack, A K
    • SCHLEYER, C H
  • Publication Date: 1995-11

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00715958
  • Record Type: Publication
  • Source Agency: Transport Research Laboratory
  • Files: ITRD
  • Created Date: Jan 31 1996 12:00AM