Journal of Korean Society for Atmospheric Environment (한국대기환경학회지)

Korean Society for Atmospheric Environment (한국대기환경학회)
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Identification of PM10 Chemical Characteristics and Sources and Estimation of their Contributions in a Seoul Metropolitan Subway Station

서울시 지하역사에서 PM10의 화학적 특성과 오염원의 확인 및 기여도 추정

  • Park, Seul-Ba-Sen-Na (Department of Environmental Science and Engineering, Kyung Hee University) ;
  • Lee, Tae-Jung (Department of Environmental Science and Engineering, Kyung Hee University) ;
  • Ko, Hyun-Ki (Department of Environmental Science and Engineering, Kyung Hee University) ;
  • Bae, Sung-Joon (R&D Center, Seoul Metro) ;
  • Kim, Shin-Do (Department of Environmental Engineering, University of Seoul) ;
  • Park, Duckshin (Eco-transport Research Division, Korea Railroad Research Institute) ;
  • Sohn, Jong-Ryeul (Department of Environmental Health, College of Health Sciences, Korea University) ;
  • Kim, Dong-Sool (Department of Environmental Science and Engineering, Kyung Hee University)
  • 박슬바센나 (경희대학교 환경학 및 환경공학과) ;
  • 이태정 (경희대학교 환경학 및 환경공학과) ;
  • 고현기 (경희대학교 환경학 및 환경공학과) ;
  • 배성준 (서울메트로 기술연구소) ;
  • 김신도 (서울시립대학교 환경공학과) ;
  • 박덕신 (한국철도기술연구원 에코시스템연구실) ;
  • 손종렬 (고려대학교 보건과학대학 환경보건학과) ;
  • 김동술 (경희대학교 환경학 및 환경공학과)
  • Received : 2012.12.06
  • Accepted : 2013.01.21
  • Published : 2013.02.28
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Abstract

Since the underground transportation system is a closed environment, indoor air quality problems may seriously affect many passengers' health. The purpose of this study was to understand $PM_{10}$ characteristics in the underground air environment and further to quantitatively estimate $PM_{10}$ source contributions in a Seoul Metropolitan subway station. The $PM_{10}$ was intensively collected on various filters with $PM_{10}$ aerosol samplers to obtain sufficient samples for its chemical analysis. Sampling was carried out in the M station on the Line-4 from April 21 to 28, July 13 to 21, and October 11 to 19 in the year of 2010 and January 11 to 17 in the year of 2011. The aerosol filter samples were then analyzed for metals, water soluble ions, and carbon components. The 29 chemical species (OC1, OC2, OC3, OC4, CC, PC, EC, Ag, Al, Ba, Cd, Cr, Cu, Fe, Mn, Ni, Pb, Si, Ti, V, Zn, $Cl^-$, $NO_3{^-}$, $SO_4{^{2-}}$, $Na^+$, $NH_4{^+}$, $K^+$, $Mg^{2+}$, $Ca^{2+}$) were analyzed by using ICP-AES, IC, and TOR after proper pretreatments of each sample filter. Based on the chemical information, positive matrix factorization (PMF) model was applied to identify the $PM_{10}$ sources and then six sources such as biomass burning, outdoor, vehicle, soil and road dust, secondary aerosol, ferrous, and brakewear related source were classified. The contributions rate of their sources in tunnel are 4.0%, 5.8%, 1.6%, 17.9%, 13.8% and 56.9% in order.

Keywords

References

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