title: Improved spatial allocation methodology for on-road mobile emissions.
abstract: Emissions from automobiles and trucks operating on public roads represent a major portion of the air pollutants included in emission inventories. When emission data are prepared for air quality modeling studies, such as those supporting development of a State Implementation Plan, an emission processor matches the spatial and temporal resolution of the emissions to the requirements of the modeling study. 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, such as those commonly provided by a geographic information system. Vehicle-miles traveled (VMT) are then allocated to medium-resolution (12 x 12-km) and fine-resolution (4 x 4-km) modeling grids using both this methodology and the existing top-down methodology, which uses population density. The results show a significant difference in the spatial distribution of VMT between these two methodologies. Based upon these results, we 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.
authors.affiliation: Environmental Programs Group, MCNC-North Carolina Supercomputing Center, Research Triangle Park 27709, USA. joellen@ncsc.org
authors.forename: J E
authors.initials: JE
authors.lastname: Brandmeyer
authors.forename: H A
authors.initials: HA
authors.lastname: Karimi
mesh_terms: D000397:Air Pollution / Q000032:analysis*; D004784:Environmental Monitoring / Q000379:methods; D006801:Humans; D008962:Models, Theoretical; D018986:Motor Vehicles; D011156:Population Density; D012680:Sensitivity and Specificity; D001335:Vehicle Emissions / Q000032:analysis*
chemical_list: D001335:Vehicle Emissions