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Cho, Kyung Hwa
Water-Environmental Informatics Lab.
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A multivariate study for characterizing particulate matter (PM10, PM2.5, and PM1) in Seoul metropolitan subway stations, Korea

Author(s)
Kwon, Soon-BarkJeong, WootaePark, DuckshinKim, Ki-TaeCho, Kyung Hwa
Issued Date
2015-10
DOI
10.1016/j.jhazmat.2015.05.015
URI
https://scholarworks.unist.ac.kr/handle/201301/17306
Fulltext
http://www.sciencedirect.com/science/article/pii/S0304389415004112
Citation
JOURNAL OF HAZARDOUS MATERIALS, v.297, pp.295 - 303
Abstract
Given that around eight million commuters use the Seoul Metropolitan Subway (SMS) each day, the indoor air quality (IAQ) of its stations has attracted much public attention. We have monitored the concentration of particulate matters (PMx) (i.e., PM10, PM2.5, and PM1) in six major transfer stations per minute for three weeks during the summer, autumn, and winter in 2014 and 2015. The data were analyzed to investigate the relationship between PMx concentration and multivariate environmental factors using statistical methods. The average PM concentration observed was approximately two or three times higher than outdoor PM10 concentration, showing similar temporal patterns at concourses and platforms. This implies that outdoor PM10 is the most significant factor in controlling indoor PM concentration. In addition, the station depth and number of trains passing through stations were found to be additional influences on PMx. Principal component analysis (PCA) and self-organizing map (SOM) were employed, through which we found that the number of trains influences PM concentration in the vicinity of platforms only, and PMx hotspots were determined. This study identifies the external and internal factors affecting PMx characteristics in six SMS stations, which can assist in the development of effective IAQ management plans to improve public health. (C) 2015 Elsevier B.V. All rights reserved
Publisher
ELSEVIER SCIENCE BV
ISSN
0304-3894
Keyword (Author)
Particulate matter (PM)Indoor air quality (IAQ)Seoul metropolitan subway (SMS)Principal Component Analysis (PCA)Self-Organizing Map (SOM)
Keyword
UNDERGROUND RAILWAY STATIONPERSONAL EXPOSURE LEVELSINDOOR AIR-QUALITYTRANSPORT MICROENVIRONMENTSMETRO STATIONSSYSTEMPARTICLESPOLLUTIONLONDONHEALTH

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