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http://dx.doi.org/10.5572/KOSAE.2008.24.1.100

Quantitative Estimation of PM-10 Source Contribution in Gumi City by the Positive Matrix Factorization Model  

Hwang, In-Jo (Department of Environmental Engineering, Daegu University)
Cho, Young-Hyuck (Department of Environmental Engineering, Kumoh National Institute of Technology)
Choi, Woo-Gun (Department of Environmental Engineering, Kumoh National Institute of Technology)
Lee, Hye-Moon (Department of Powder Materials, Korea Institute of Materials Science)
Kim, Tae-Oh (Department of Environmental Engineering, Kumoh National Institute of Technology)
Publication Information
Journal of Korean Society for Atmospheric Environment / v.24, no.1, 2008 , pp. 100-107 More about this Journal
Abstract
The objective of this study was to quantitatively estimate PM-10 source contribution in Gumi City, Korea. Ambient PM-10 samples were collected by a high volume air sampler, which operated for 84 different days with a 24-h sampling basis, from June 14,2001 though May 19, 2003. The filter samples were analyzed for determining 13 inorganic elements, 3 anions, and a total carbon. The study has intensively applied a receptor model, the PMF (Positive Matrix Factorization) model. The results from PMF modeling indicated that a total of seven sources were independently identified and each source was contributed to the ambient Gumi City from secondary sulfate (34%), motor vehicle (26%), soil relation (5%), field burning (3%), industrial relation (3%), secondary nitrate (22%), and incinration (7%) in terms of PM-10 mass, respectively.
Keywords
Gumi City; PMF; PM-10; Source appointment; Receptor modeling;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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