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RECORD NUMBER: 12 OF 112

Main Title Combined TTFA/CMB Receptor Modeling Approach and Its Application to Air Pollution Sources in China.
Author Zelenka, M. P. ; Wilson, W. E. ; Chows, J. C. ; Lioy, P. J. ;
CORP Author Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab. ;Robert Wood Johnson Medical School, Piscataway, NJ. ;Nevada Univ. System, Reno. Desert Research Inst. ;Rutgers - The State Univ., New Brunswick, NJ. ;Environmental and Occupational Health Sciences Inst., Piscataway, NJ.
Publisher c1994
Year Published 1994
Report Number EPA/600/J-94/360;
Stock Number PB94-209665
Additional Subjects China ; Air pollution sources ; Reprints ; Exhaust emissions ; Chemical analysis ; Particulates ; Aerosols ; Fines ; Air pollution sampling ; Point sources ; Urban areas ; Combustion products ; Coal burning appliances ; Mathematical models ; Transformations(Mathematics) ; Target Transformation Factor Analysis ; Chemical Mass Balance ; Tianjin(China) ; Wuhan(China) ; Receptor modeling
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NTIS  PB94-209665 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 13p
Abstract
The possibility of using a two step method of identifying and quantifying air pollution emissions in an urban environment was examined in this paper. The procedure uses a numerical model called Target Transformation Factor Analysis (TTFA) to estimate source emission profiles using ambient trace element air concentration data. The profiles estimated by TTFA are then employed in a Chemical Mass Balance (CMB) source apportionment analysis for an air shed. The results show that TTFA can be used to provide quantitative estimates of air pollution source profiles for an urban center in China. TTFA can identify source categories of airborne pollution for specific locations, as well as give quantitative data on the composition of the emissions from those source types. Including source profiles estimated by TTFA in a chemical mass balance analysis provides a comprehensive source apportionment methodology which can help researchers more accurately characterize the air pollution source types that pose the greatest concern to human health. (Copyright (c) 1994 Elsevier Science Ltd.)