title: Factors influencing mobile source particulate matter emissions-to-exposure relationships in the Boston urban area.
abstract: Benefit-cost and regulatory impact analyses often use atmospheric dispersion models with coarse resolution to estimate the benefits of proposed mobile source emission control regulations. This approach may bias health estimates or miss important intra-urban variability for primary air pollutants. In this study, we estimate primary fine particulate matter (PM2.5) intake fractions (iF; the fraction of a pollutant emitted from a source that is inhaled by the population) for each of 23 398 road segments in the Boston Metro Core area to evaluate the potential for intra-urban variability in the emissions-to-exposure relationship. We estimate iFs using the CAL3QHCR line source model combined with residential populations within 5000 m of each road segment. The annual average values for the road segments range from 0.8 to 53 per million, with a mean of 12 per million. On average, 46% of the total exposure is realized within 200 m of the road segment, though this varies from 0 to 93% largely due to variable population patterns. Our findings indicate the likelihood of substantial intra-urban variability in mobile source primary PM2.5 iF that accounting for population movement with time, localized meteorological conditions, and street-canyon configurations would likely increase.
authors: Department of Environmental Health, Harvard School of Public Health, and Harvard Center for Risk Analysis, Boston, Massachusetts, USA. greco.sue@gmail.com
authors: Susan L
authors: SL
authors: Greco
authors: Andrew M
authors: AM
authors: Wilson
authors: Steven R
authors: SR
authors: Hanna
authors: Jonathan I
authors: JI
authors: Levy
mesh_terms: D000392:Air Movements; D000393:Air Pollutants / Q000032:analysis*; D000397:Air Pollution; D001900:Boston; D003362:Cost-Benefit Analysis; D004781:Environmental Exposure; D004784:Environmental Monitoring / Q000331:legislation & jurisprudence / Q000379:methods*; D005843:Geography; D006801:Humans; D010316:Particle Size; D052638:Particulate Matter; D012044:Regression Analysis; D014505:Urban Population; D001335:Vehicle Emissions / Q000032:analysis*
chemical_list: D000393:Air Pollutants; D052638:Particulate Matter; D001335:Vehicle Emissions