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


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.


Gumi City;PMF;PM-10;Source appointment;Receptor modeling


  1. 배수야, 김용표(2003) 수도권에서 아황산가스의 황산염으로 전환시 각 과정의 상대적 기여도, 한국대기환경 학회지, 19(4), 451-465
  2. Kim, E., P.K. Hopke, and E.S. Edgerton (2004) Improving source identification of Atlanta aerosol using temperature resolved carbon fractions in positive matrix factorization, Atmospheric Environment, 38, 3349-3362
  3. Chow, J.C., J.G. Watson, and D.H. Lowenyhal (1996) Source and chemistry of $PM_{10}$ aerosol in Santa Barbara Country, CA, Atmospheric Environment, 30 (9), 1489-1499
  4. Kim, E., T.V. Larson, P.K. Hopke, C. Slaughter, L.E. Sheppard, and C. Claiborn (2003) Source identification of $PM_{2.5}$ in arid Northwest U.S City by positive matrix factorization, Atmospheric Research, 66, 291-305
  5. 황인조, 김동술 (2003b) PMF 모델을 이용한 대기중 PM-10 오염원의 정량적 기여도 추정, 한국대기환경학회 지, 19(6), 719-731
  6. Chueinta, W., P.K. Hopke, and P. Paatero (2000) Investigation of sources of atmospheric aerosol at urban and suburban residential areas in Thailand by positive matrix factorization, Atmospheric Environment, 34, 3319-3329
  7. Hwang, I. and P.K. Hopke (2007) Estimation of source apportionment and potential source locations of $PM_{2.5}$ at a west coastal IMPROVE site, Atmospheric Environment, 41, 506-518
  8. 강병욱, 이학성 (2002) 미세입자($PM_{2.5}$) 측정시 발생되는 질 산염($NO_3^-$) 휘발에 관한 연구, 한국대기환경학회 지, 18(4), 297-303
  9. Hopke, P.K. (1985) Receptor Modeling in Environmental Chemistry, John Willy & Sons, New York
  10. Ames, M.R., G. Gullu, J. Beal, and I. Olmez (2000) Receptor modeling for elemental source contributions to finee aerosols in New York State, Air & Waste Mange. Assoc., 50(5), 881-887
  11. Paatero, P. (1998) User's guide for positive matrix factorization programs PMF2 and PMF3, part 1: tutorial, University of Helsinki
  12. 김관수, 황인조, 김동술 (2001) 수원지역 대기 중 PM-10 오 염원의 정량평가를 위한 수용방법론의 개발, 한국대기환경학회지, 17(2), 119-131
  13. 황인조, 김동술 (2003a) PMF 모델을 이용한 PM-10 오염원 의 확인, 한국대기환경학회지, 19(6), 701-717
  14. Lee, E., C.K. Chan, and P. Paatero (1999) Application of positive matrix factorization in source in source apportionment of particulate pollutants in Hong Kong, Atmospheric Environment, 33 (19), 3201- 3212

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