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Subject

Identification of PM₁₀ Chemical Characteristics and Sources and Estimation of their Contributions in a Seoul Metropolitan Subway Station
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서울시 지하역사에서 PM₁₀의 화학적 특성과 오염원의 확인 및 기여도 추정

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Type
Academic journal
Author
Seul-Ba-Sen-Na Park (경희대학교) Tae-Jung Lee (경희대학교) Hyun-Ki Ko (경희대학교) Sung-Joon Bae (서울메트로) Shin-Do Kim (서울시립대학교) Duckshin Park (한국철도기술연구원) Jong-Ryeul Sohn (고려대학교) Dong-Sool Kim (경희대학교)
Journal
Korean Society for Atmospheric Environment Journal of Korean Society for Atmospheric Environment Vol.29 No.1 KCI Excellent Accredited Journal SCOPUS
Published
2013.2
Pages
74 - 85 (12page)

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Identification of PM₁₀ Chemical Characteristics and Sources and Estimation of their Contributions in a Seoul Metropolitan Subway Station
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Abstract· Keywords

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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<SUB>10</SUB> characteristics in the underground air environment and further to quantitatively estimate PM<SUB>10</SUB> source contributions in a Seoul Metropolitan subway station. The PM<SUB>10</SUB> was intensively collected on various filters with PM<SUB>10</SUB> 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<SUP>-</SUP>, NO₃<SUP>-</SUP>, SO₄<SUP>2-</SUP>, Na<SUP>+</SUP>, NH₄<SUP>+</SUP>, K<SUP>+</SUP>, Mg<SUP>2+</SUP>, Ca<SUP>2+</SUP>) 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<SUB>10</SUB> 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.

Contents

Abstract
1. 서론
2. 연구 방법
3. 결과 및 고찰
4. 결론
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