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SOURCE APPORTIONMENT OF AIR POLLUTION IN CHINA: EXTENDING THE USEFULNESS OF RECEPTOR MODELING BY COMBINING MULTIVARIATE AND CHEMICAL MASS BALANCE MODELS
Citation:
Zelenka, M., W. Wilson, AND P. Lioy. SOURCE APPORTIONMENT OF AIR POLLUTION IN CHINA: EXTENDING THE USEFULNESS OF RECEPTOR MODELING BY COMBINING MULTIVARIATE AND CHEMICAL MASS BALANCE MODELS. U.S. Environmental Protection Agency, Washington, D.C., EPA/600/A-93/088 (NTIS PB93185726).
Description:
This research explores the possibility of using a two step method of identify and quantify air pollution emissions in an urban environment. he procedure was a mathematical model called Target Transformation Factor Analysis (TTFA) to estimate source profiles using ambient trace element air concentration data. ource profile is analogous to a fingerprint since it is unique to each source of air pollution. he profiles estimated by TTFA are then employed in a Chemical Mass Balance (CMB) source apportionment analysis for the air shed. ther known sources are estimated using source signatures from the literature. pplying the TTFA and CMB models in this fashion is called receptor modeling. enerically, a receptor model is the combination of ed air pollution concentration data with a numerical technique which apportions the measured air pollution among distinct source. he results show that TTFA can be used to provide quantitative estimates of air pollution source profiles for an urban center in China. he number of profiles for unique source types was limited for this data set since emissions from certain types of sources co-varied during each sampling day. onsequently, the CMB analyses that applied the TTFA source profiles needed to be supplemented with standard U.S. EPA source profiles. he application of TTFA for estimating source profiles from ambient data and the subsequent use of those profiles in CMB analyses with source profiles obtained from the EPA's source library can improve the statistical quality of the source apportionment analysis. TFA can identify source categories of airborne pollution for specific cities, as well as give quantitative data on the composition of the emissions from those source types. ncluding source profiles estimated by TTFA in a chemical mass balance analysis provides a comprehensive ource apportionment methodology which can help researchers more accurately characterize the air pollution source types that pose the greatest concern to human health.