MODELING REGIONAL MOBILE SOURCE EMISSIONS IN A GEOGRAPHIC INFORMATION SYSTEM FRAMEWORK

Urban and suburban sprawl, population growth, and a growing dependence on automobiles all contribute directly to air pollution in U.S. metropolitan areas. As these regions attempt to mitigate these problems, they must deal with the difficult task of balancing the mobility needs of area residents, while simultaneously minimizing levels of pollutants. Although ambient air quality can be directly monitored, predicting the amount and fraction of the mobile source components presents special challenges. A modeling framework that can correlate spatial and temporal emission-specific vehicle activities is required for the complex photochemical models used to predict pollutant concentrations. This paper discusses a GIS-based modeling approach called the Mobile Emission Assessment System for Urban and Regional Evaluation (MEASURE). MEASURE provides researchers and planners with a means of assessing motor vehicle emission reduction strategies. Estimates of spatially resolved fleet composition and activity are combined with activity-specific emission rates to predict engine start and running exhaust emissions. Engine start emissions are estimated using aggregate zonal information. Running exhaust emissions are predicted using road segment specific and aggregate zonal data. The benefits and challenges related to mobile source emissions modeling in a GIS framework are discussed, and future GIS mobile emissions modeling research needs are identified. needs.

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  • Corporate Authors:

    Elsevier

    The Boulevard, Langford Lane
    Kidlington, Oxford  United Kingdom  OX5 1GB
  • Authors:
    • Bachman, W
    • Sarasua, W
    • Hallmark, S
    • Guensler, R
  • Publication Date: 2000-2

Language

  • English

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Filing Info

  • Accession Number: 00800326
  • Record Type: Publication
  • Files: TRIS, ATRI
  • Created Date: Oct 4 2000 12:00AM