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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

  • 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)
  • 황인조 (대구대학교 환경공학과) ;
  • 조영혁 (금오공과대학교 환경공학과) ;
  • 최우건 (금오공과대학교 환경공학과) ;
  • 이혜문 (한국기계연구원 부설 재료연구실 분말재료연구부) ;
  • 김태오 (금오공과대학교 환경공학과)
  • 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

References

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