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Composite receptor method applied to Philadelphia aerosol

Journal Article · · Environ. Sci. Technol.; (United States)
DOI:https://doi.org/10.1021/es00166a004· OSTI ID:7003729
A composite of chemical mass balances, multiple linear regression, and wind trajectory receptor models was developed to apportion particulate mass into source categories. It was applied to 156 aerosol samples collected in dichotomous samplers at three sites in the Philadelphia area and analyzed by X-ray fluorescence, instrumental neutron activation, ion chromatography, and pyrolysis. The largest component accounted for 49-55% of the mass of less than or equal to 10..mu..m diameter particles and consisted of sulfate plus related ions and water. Other components were crustal matter (17-24% of the mass) and vehicle exhaust (4-6% of the mass). Less than 5% of the mass was attributed to primary emissions from five types of stationary sources. Wind-stratified data indicated that 80 +/- 20% of the sulfate was from a regional background. Multiple linear regression attributed 72 +/- 8 and 16 +/- 5% of S to coal- and oil-fired power plants, respectively.
Research Organization:
Environmental Protection Agency, Research Triangle Park, NC (USA)
OSTI ID:
7003729
Journal Information:
Environ. Sci. Technol.; (United States), Journal Name: Environ. Sci. Technol.; (United States) Vol. 22:1; ISSN ESTHA
Country of Publication:
United States
Language:
English