TY - JOUR
T1 - Quantitative Characterization of Urban Sources of Organic Aerosol by High-Resolution Gas Chromatography
AU - Hlldemann, Lynn M.
AU - Mazurek, Monica A.
AU - Cass, Glen R.
AU - Slmonelt, Bernd R.T.
PY - 1991/7/1
Y1 - 1991/7/1
N2 - Fine aerosol emissions have been collected from a variety of urban combustion sources, including an industrial boiler, a fireplace, automobiles, diesel trucks, gas-fired home appliances, and meat cooking operations, by use of a dilution sampling system. Other sampling techniques have been utilized to collect fine aerosol samples of paved road dust, brake wear, tire wear, cigarette smoke, tar pot emissions, and vegetative detritus. The organic matter contained in each of these samples has been analyzed via high-resolution gas chromatography. By use of a simple computational approach, a quantitative, 50-parameter characterization of the elutable fine organic aerosol emitted from each source type has been determined. The organic mass distribution fingerprints obtained by this approach are shown to differ significantly from each other for most of the source types tested, using hierarchical cluster analysis.
AB - Fine aerosol emissions have been collected from a variety of urban combustion sources, including an industrial boiler, a fireplace, automobiles, diesel trucks, gas-fired home appliances, and meat cooking operations, by use of a dilution sampling system. Other sampling techniques have been utilized to collect fine aerosol samples of paved road dust, brake wear, tire wear, cigarette smoke, tar pot emissions, and vegetative detritus. The organic matter contained in each of these samples has been analyzed via high-resolution gas chromatography. By use of a simple computational approach, a quantitative, 50-parameter characterization of the elutable fine organic aerosol emitted from each source type has been determined. The organic mass distribution fingerprints obtained by this approach are shown to differ significantly from each other for most of the source types tested, using hierarchical cluster analysis.
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U2 - 10.1021/es00019a014
DO - 10.1021/es00019a014
M3 - Article
AN - SCOPUS:0026191748
SN - 0013-936X
VL - 25
SP - 1311
EP - 1325
JO - Environmental Science and Technology
JF - Environmental Science and Technology
IS - 7
ER -