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Characteristics of Particulate Matter Concentration and Classification of Contamination Patterns in the Seoul Metropolitan Subway Tunnels
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서울시 지하철 터널 내 입자상물질의 농도 특성 및 오염형태 분류

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Type
Academic journal
Author
Eun-Sun Lee (경희대학교) Tae-Jung Lee (경희대학교) Min-Bin Park (경희대학교) Duck-Shin Park (한국철도기술연구원) Dong-Sool Kim (경희대학교)
Journal
Korean Society for Atmospheric Environment Journal of Korean Society for Atmospheric Environment Vol.33 No.6 KCI Excellent Accredited Journal SCOPUS
Published
2017.12
Pages
593 - 604 (12page)
DOI
10.5572/KOSAE.2017.33.6.593

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Characteristics of Particulate Matter Concentration and Classification of Contamination Patterns in the Seoul Metropolitan Subway Tunnels
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Research history (5)

2017

Characteristics of Particulate Matter Concentration and Classification of Contamination Patterns in the Seoul Metropolitan Subway Tunnels
Eun-Sun Lee ,  Tae-Jung Lee ,  Min-Bin Pa and others 4 Journal of Korean Society for Atmospheric Environment 2017.12 Academic journal
이은선 환경응용 2017.01 Thesis

2016

Characterizing Par ticle Matter on the Main Section of the Seoul Subway Line-2 and Developing Fine Particle Pollution Map
Eun-Sun Lee ,  Min-Bin Pa ,  k and others 5 Journal of Korean Society for Atmospheric Environment 2016.04 Academic journal

2015

Characteristic Classification of PM10 and PM2.5 Inside Tunnels on the Seoul Subway Line-2 Using Cluster Analysis
이은선 ,  박민빈 ,  이태정 and others 2 한국대기환경학회 학술대회논문집 2015.11 Proceeding
Spatial characteristics of PM10 and PM2.5 inside Tunnels on the Seoul subway Line 2 by producing Pollution Maps
이은선 ,  박민빈 ,  이태정 and others 2 한국대기환경학회 학술대회논문집 2015.08 Proceeding
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Abstract· Keywords

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The suspended particulate matter (PM) was measured in subway tunnel of Seoul Line 1 to 9 in order to evaluate the pollution degree and characteristics of the PM in the subway tunnel. Also, to analyze the effect of outdoor aerosol concentration on the PM concentration of subway tunnels, the ambient PM concentration around the subway station was extracted by spatial analysis using PM<SUB>10</SUB> data of Seoul air pollution monitoring network. Finally, in order to understand pollution pattern in the Seoul subway tunnels, cluster analysis was performed based on input data set such as PM levels in tunnel, tunnel depth, length, curvature radius, outdoor ambient air pollution levels and so on. The average concentration of PM<SUB>10</SUB>, PM<SUB>2.5</SUB>, and PM₁ on subway tunnels were 98.0±37.4, 78.4±28.7, and 56.9±19.2 μg/m³ respectively. As a result of the cluster analysis, tunnels from Seoul subway Line-1 to Line-9 were classified into five classes, and the concentrations and physical properties of the tunnels were compared. This study can provide a method to reduce PM concentration in tunnel for each pollution pattern and provide basic information about air quality control in Seoul subway tunnel.
#PM #Subway #Tunnel #Cluster analysis #Pattern recognition

Contents

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

References (23)

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Baek, S.A., Lee, T.J., Kim, S.D., Kim, D.S. (2008) Studies on the spatial analysis for distribution estimation of radon concentration at the Seoul area, Journal of Korean Society for Atmospheric Environment, 24 (5), 538-550. (in Korean with English abstract) Colls, J.J., Micallef, A. (1999) Measured and modelled concentrations and vertical profiles of airborne particulate matter within the boundary layer of a street canyon, Science of the Total Environment, 235(1), 221-233. Dorling, S.R., Davies, T.D., Pierce, C.E. (1992) Cluster analysis: A technique for estimating the synoptic meteorological controls on air and precipitation chemistry - Method and application, Atmospheric Environment, 26A (14), 2575-2581. Fotheringham, A.S., Brunsdon, C., Charlton, M. (2000) Quantitative geography: perspectives on spatial data analysis, London: Sage Publications. Hopke, P.K. (1976) The application of multivariate analysis for interpretation of the chemical and physical analysis of lake sediments, Journal of Environmental Science & Health Part A, 11(6), 367-383.

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