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Mathematical modeling of atmospheric fine particle-associated primary organic compound concentrations

Rogge, Wolfgang F. and Hildemann, Lynn M. and Mazurek, Monica A. and Cass, Glen R. and Simoneit, Bernd R. T. (1996) Mathematical modeling of atmospheric fine particle-associated primary organic compound concentrations. Journal of Geophysical Research D, 101 (D14). pp. 19379-19394. ISSN 0148-0227. https://resolver.caltech.edu/CaltechAUTHORS:20141029-094531385

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Abstract

An atmospheric transport model has been used to explore the relationship between source emissions and ambient air quality for individual particle phase organic compounds present in primary aerosol source emissions. An inventory of fine particulate organic compound emissions was assembled for the Los Angeles area in the year 1982. Sources characterized included noncatalyst- and catalyst-equipped autos, diesel trucks, paved road dust, tire wear, brake lining dust, meat cooking operations, industrial oil-fired boilers, roofing tar pots, natural gas combustion in residential homes, cigarette smoke, fireplaces burning oak and pine wood, and plant leaf abrasion products. These primary fine particle source emissions were supplied to a computer-based model that simulates atmospheric transport, dispersion, and dry deposition based on the time series of hourly wind observations and mixing depths. Monthly average fine particle organic compound concentrations that would prevail if the primary organic aerosol were transported without chemical reaction were computed for more than 100 organic compounds within an 80 km × 80 km modeling area centered over Los Angeles. The monthly average compound concentrations predicted by the transport model were compared to atmospheric measurements made at monitoring sites within the study area during 1982. The predicted seasonal variation and absolute values of the concentrations of the more stable compounds are found to be in reasonable agreement with the ambient observations. While model predictions for the higher molecular weight polycyclic aromatic hydrocarbons (PAH) are in agreement with ambient observations, lower molecular weight PAH show much higher predicted than measured atmospheric concentrations in the particle phase, indicating atmospheric decay by chemical reactions or evaporation from the particle phase. The atmospheric concentrations of dicarboxylic acids and aromatic polycarboxylic acids greatly exceed the contributions that are due to direct emissions from primary sources, confirming that these compounds are principally formed by atmospheric chemical reactions.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1029/95JD02050DOIArticle
http://onlinelibrary.wiley.com/doi/10.1029/95JD02050/abstractPublisherArticle
Additional Information:Copyright 1996 by the American Geophysical Union. (Received October 25, 1994; revised June 1, 1995; accepted June 8, 1995.) Paper number 95JD02050. The air quality modeling study reported here was supported by the Electric Power Research Institute under agreement RP3189-3. The emissions data for single organic compounds were acquired with the support of the U.S. Environmental Protection Agency under agreement R-819714-01-0 and the California Air Resources Board under agreement A932-127. Analysis of the atmospheric aerosol was supported by the South Coast Air Quality Management District.
Funders:
Funding AgencyGrant Number
Electric Power Research Institute (EPRI)RP3189-3
Environmental Protection Agency (EPA)R-819714-01-0
California Air Resources BoardA932-127
South Coast Air Quality Management District (SCAQMD)UNSPECIFIED
Issue or Number:D14
Record Number:CaltechAUTHORS:20141029-094531385
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20141029-094531385
Official Citation:Rogge, W. F., L. M. Hildemann, M. A. Mazurek, G. R. Cass, and B. R. T. Simoneit (1996), Mathematical modeling of atmospheric fine particle-associated primary organic compound concentrations, J. Geophys. Res., 101(D14), 19379–19394, doi:10.1029/95JD02050.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:50993
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:29 Oct 2014 17:11
Last Modified:03 Oct 2019 07:28

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