IMPROVED SPATIAL ALLOCATION METHODOLOGY FOR ON-ROAD MOBILE EMISSIONS
Emissions from cars and trucks operating on public roads constitute a major portion of the air pollutants included in emission inventories. When emission data are prepared for air quality modeling studies, an emission processor matches the spatial and temporal resolution of the emissions to the modeling study requirements. However, the spatial location of vehicular emissions is not known and must be estimated. This paper presents a methodology for determining the spatial distribution of the roads belonging to a road class using geospatial data functions. Vehicle-miles traveled (VMT) are then allocated to medium- and fine-resolution modeling grids using both this methodology and the existing top-down methodology, which uses population density. Results show a significant difference in the spatial distribution of VMT between these 2 methodologies. The authors recommend using the road class-specific methodology in lieu of the population methodology for spatially allocating vehicular emissions for medium- and finer-resolution modeling grids.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/10473289
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Corporate Authors:
Air & Waste Management Association
One Gateway Center, 3rd Floor, 420 Fort Duquesne Boulevard
Pittsburgh, PA United States 15222 -
Authors:
- Brandmeyer, J E
- Karimi, H A
- Publication Date: 2000-6
Language
- English
Media Info
- Pagination: v.p.
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Serial:
- Journal of the Air & Waste Management Association
- Volume: 50
- Issue Number: 6
- Publisher: Taylor & Francis
- ISSN: 1096-2247
- Serial URL: http://www.tandfonline.com/uawm20
Subject/Index Terms
- TRT Terms: Air pollution; Air quality; Air quality management; Automobiles; Environmental impacts; Geographic information systems; Grids (Coordinates); Highway transportation; Pollutants; Spatial analysis; Trucks
- Subject Areas: Environment; Highways; Motor Carriers;
Filing Info
- Accession Number: 00798693
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 8 2000 12:00AM