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

PMF를 응용한 구미시 PM-10 오염원의 정량적 기여도 추정연구

  • Published : 2008.02.29

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

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