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Development, Evaluation, and Application of a Primary Aerosol Model.

Authors :
Wang, I.T.
Chico, T.
Huang, Y.H.
Farber, R.J.
Source :
Journal of the Air & Waste Management Association (Air & Waste Management Association). Sep99 Special Issue, Vol. 49, p57-68. 12p. 3 Diagrams, 5 Charts, 6 Graphs, 1 Map.
Publication Year :
1999

Abstract

The Segmented-Plume Primary Aerosol Model (SPPAM) has been developed over the past several years. The earlier model development goals were simply to generalize the widely used Industrial Source Complex Short-Term (ISCST) model to simulate plume transport and dispersion under light wind conditions and to handle a large number of roadway or line sources. The goals have been expanded to include development of improved algorithm for effective plume transport velocity, more accurate and efficient line and area source-dispersion algorithms, and recently, a more realistic and computationally efficient algorithm for plume depletion due to particle dry deposition. A performance evaluation of the SPPAM has been carried out using the 1983 PNL dual tracer experimental data. The results show the model predictions to be in good agreement with observations in both plume advectiondispersion and particulate matter (PM) depletion by dry deposition. For PM[sub2.5] impact analysis, the SPPAM has been applied to the Rubidoux area of California. Emission sources included in the modeling analysis are: paved road dust, diesel vehicular exhaust, gasoline vehicular exhaust, and tire wear particles from a large number of roadways in Rubidoux and surrounding areas. For the selected modeling periods, the predicted primary PM[sub2.5] to primary PM[sub10] concentration ratios for the Rubidoux sampling station are in the range of 0.39-0.46. The organic fractions of the primary PM[sub2.5] impacts are estimated to be at least 34-41%. Detailed modeling results indicate that the relatively high organic fractions are primarily due to the proximity of heavily traveled roadways north of the sampling station. The predictions are influenced by a number of factors; principal among them are the receptor locations relative to major roadways, the volume and composition of traffic on these roadways, and the prevailing meteorological conditions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10962247
Volume :
49
Database :
Academic Search Index
Journal :
Journal of the Air & Waste Management Association (Air & Waste Management Association)
Publication Type :
Academic Journal
Accession number :
12210267
Full Text :
https://doi.org/10.1080/10473289.1999.10463908