서울시 지하역사에서 PM10의 화학적 특성과 오염원의 확인 및 기여도 추정Identification of PM10 Chemical Characteristics and Sources and Estimation of their Contributions in a Seoul Metropolitan Subway Station
- Other Titles
- Identification of PM10 Chemical Characteristics and Sources and Estimation of their Contributions in a Seoul Metropolitan Subway Station
- Authors
- 박슬바센나; 김동술; 이태정; 고현기; 배성준; 김신도; 박덕신; 손종렬
- Issue Date
- 2013
- Publisher
- 한국대기환경학회
- Keywords
- PM10; PMF model; Subway station; Source contribution; Indoor air quality
- Citation
- 한국대기환경학회지, v.29, no.1, pp.74 - 85
- Indexed
- KCI
- Journal Title
- 한국대기환경학회지
- Volume
- 29
- Number
- 1
- Start Page
- 74
- End Page
- 85
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/104437
- DOI
- 10.5572/KOSAE.2013.29.1.74
- ISSN
- 1598-7132
- 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 PM10 characteristics in the underground air environment and further to quantitatively estimate PM10 source contributions in a Seoul Metropolitan subway station. The PM10 was intensively collected on various filters with PM10 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 13to 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-, NO3-, SO42-, Na+, NH4+, K+,Mg2+, Ca2+) 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 PM10sources 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.
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Collections - College of Health Sciences > School of Health and Environmental Science > 1. Journal Articles
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