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RECORD NUMBER: 5 OF 6

OLS Field Name OLS Field Data
Main Title Source Apportionment of Air Pollution in China: Extending the Usefulness of Receptor Modeling by Combining Multivariate and Chemical Mass Balance Models.
Author Zelenka, M. P. ; Wilson, W. E. ; Lioy, P. J. ;
CORP Author Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab. ;Environmental and Occupational Health Sciences Inst., Piscataway, NJ. Exposure Measurement and Assessment Div. ;National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Air Resources Lab.
Publisher 1993
Year Published 1993
Report Number EPA/600/A-93/088;
Stock Number PB93-185726
Additional Subjects China ; Urban areas ; Air pollution sampling ; Coal burning appliances ; Combustion products ; Exhaust emissions ; Point sources ; Chemical analysis ; Transformations(Mathematics) ; Mathematical models ; Tianjin(China) ; Wuhan(China) ; Target transformation factor analysis ; Chemical mass balance
Holdings
Library Call Number Additional Info Location Last
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Status
NTIS  PB93-185726 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 08/23/1993
Collation 18p
Abstract
The research explores the possibility of using a two step method of identifying and quantifying air pollution emissions in an urban environment. The procedures uses a mathematical model called Target Transformation Factor Analysis (TTFA) to estimate source profiles using ambient trace element air concentration data. A source profile is analogous to a fingerprint since it is unique to each source of air pollution. The profiles estimated by TTFA are then employed in a Chemical Mass Balance (CMB) source apportionment analysis for the air shed. Other known sources are estimated using source signatures from the literature. Applying the TTFA and CMB models in this fashion is called receptor modeling. Generically, a receptor model is the combination of measured air pollution concentration data with a numerical technique which apportions the measured air pollution among distinct source types. The results show that TTFA can be used to provide quantitative estimates of air pollution source profiles for an urban center in China. The number of profiles for unique source types was limited for the data set since emissions from certain types of sources co-varied during each sampling day. Consequently, the CMB analyses that applied the TTFA source profiles needed to be supplemented with standard U.S. EPA source profiles.