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http://dx.doi.org/10.5572/KOSAE.2010.26.5.543

A Comparative Study on PM10 Source Contributions in a Seoul Metropolitan Subway Station Before/After Installing Platform Screen Doors  

Lee, Tae-Jung (Department of Environmental Science and Engineering, Kyung Hee University)
Jeon, Jae-Sik (Seoul Metropolitan Government Research Institute of Public Health and Environment)
Kim, Shin-Do (Department of Environmental Engineering, University of Seoul)
Kim, Dong-Sool (Department of Environmental Science and Engineering, Kyung Hee University)
Publication Information
Journal of Korean Society for Atmospheric Environment / v.26, no.5, 2010 , pp. 543-553 More about this Journal
Abstract
Almost five million citizens a day are using subways as a means of traffic communication in the Seoul metropolitan. As the subway system is typically a closed environment, indoor air pollution problems frequently occurs and passengers complain of mal-health impact. Especially $PM_{10}$ is well known as one of the major pollutants in subway indoor environments. The purpose of this study was to compare the indoor air quality in terms of $PM_{10}$ and to quantitatively compare its source contributions in a Seoul subway platform before and after installing platform screen doors (PSD). $PM_{10}$ samples were collected on the J station platform of Subway Line 7 in Seoul metropolitan area from Jun. 12, 2008 to Jan. 12, 2009. The samples collected on membrane filters using $PM_{10}$ mini-volume portable samplers were then analyzed for trace metals and soluble ions. A total of 18 chemical species (Ba, Mn, Cr, Cd, Si, Fe, Ni, Al, Cu, Pb, Ti, $Na^+$, $NH_4^+$, $K^+$, $Mg^{2+}$, $Ca^{2+}$, $Cl^-$, and ${SO_4}^{2-}$) were analyzed by using an ICP-AES and an IC after performing proper pre-treatments of each sample filter. Based on the chemical information, positive matrix factorization (PMF) model was applied to identify the source of particulate matters. $PM_{10}$ for the station was characterized by three sources such as ferrous related source, soil and road dust related source, and fine secondary aerosol source. After installing PSD, the average $PM_{10}$ concentration was decreased by 20.5% during the study periods. Especially the contribution of the ferrous related source emitted during train service in a tunnel route was decreased from 59.1% to 43.8% since both platform and tunnel areas were completely blocked by screen doors. However, the contribution of the fine secondary aerosol source emitted from various outside combustion activities was increased from 14.8% to 29.9% presumably due to ill-managed ventilation system and confined platform space.
Keywords
Subway; Platform screen doors (PSD); Positive matrix factorization (PMF); Source contribution; Indoor Air Quality;
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Times Cited By KSCI : 4  (Citation Analysis)
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1 Chueinta, W., P.K. Hopke, and P. Paatero (2000) Investigation of sources of atmospheric aerosol at urban and suburban residential area in Thailand by positive matrix factorization, Atmospheric Environment, 34(20), 3319-3329.   DOI   ScienceOn
2 Cooper, J.A. and J.G. Watson (1980) Receptor oriented methods of air particulate source apportionment, J. of the Air Pollution Control Association, 30(10), 1116-1125.   DOI   ScienceOn
3 Han, G.H. (2002) Source Contribution Studies bt SEM/EDX in Seoul Subway Station, Master’s thesis of Kyung Hee University.
4 Hopke, P.K., Z. Ramadana, P. Paaterob, G.A. Norrisc, M.S. Landisc, R.W. Williamsc, and C.W. Lewisc (2003) Receptor modeling of ambient and personal exposure samples: 1998 Baltimore Particulate Matter Epidemiology-Exposure Study, Atmospheric Environment, 37, 3289-3302.   DOI   ScienceOn
5 Kim, E., P.K. Hopke, and E.S. Edgerton (2004) Improving source identification of Atlanta aerosol using temperature resolved carbon fractions in Positive Matrix Factorization, Atmospheric Environment, 38(2), 3349-3362.   DOI   ScienceOn
6 Kim, E., P.K. Hopke, and Y. Qin (2005) Estimation of organic carbon blank values and error structures of the speciation trend network data for source apportionment, Air & Waste Management Association, 55, 1190-1199.   DOI   ScienceOn
7 Lee, E., C.K. Chan, and P. Paatero (1999) Application of positive matrix factorization in source apportionment of particulate pollutants in Hong Kong, Atmospheric Environment, 33(19), 3201-3212.   DOI   ScienceOn
8 Zhao, W., P.K. Hopke, E.W. Gelfand, and N. Rabinovitch (2007) Use of an expanded receptor model for personal exposure analysis in schoolchildren with asthma, Atmospheric Environment, 41(19), 4084-4096.   DOI   ScienceOn
9 Paatero, P., P.K. Hopke, B.A. Begum, and S.K. Biswas (2005) A graphical diagnostic method for assessing the rotation in factor analytical models of atmospheric pollution, Atmospheric Environment, 39, 193-201.   DOI   ScienceOn
10 Paatero, P. and U. Tapper (1994) Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values, Environmetrics, 5, 111-126.   DOI
11 Pilinis, C. and R.J. Farber (1991) Evaluation of the effects of emission reductions on secondary particulate matter in the south coast air basin of California, Air & Waste Management Association, 41(5), 702-709.   DOI   ScienceOn
12 U.S. EPA (1999) Air quality criteria for particulate matter, Volume I, EPA/600/P-99/002a.
13 Polissar, A.V., P.K. Hopke, P. Paatero, W.C. Malm, and J.F. Sisler (1998) Atmospheric aerosol over Alaska, 2. Elemental composition and sources, J. of Geophysical Research, 103(D15), 19045-19057.   DOI
14 Ramadan, Z., X.H. Song, and P.K. Hopke (2000) Identification of sources of phoenix aerosol by positive matrix factorization, Air & Waste Management Association, 50(8), 1308-1320.   DOI   ScienceOn
15 Song, X.H., A.V. Polissar, and P.K. Hopke (2001) Source of fine particle composition in the northeastern US, Atmospheric Environment, 35(31), 5277-5286.   DOI   ScienceOn
16 U.S. EPA (2006) SPECIATE Ver 4.0.
17 Yoo, J.S., D.S. Kim, and Y.S. Kim (1995) Quantitative source estimation of PM-10 in Seoul area, Journal of Korean Society for Atmospheric Environment, 11(3), 279-290.   과학기술학회마을
18 Zhao, W. and P.K. Hopke (2006) Source identification for fine aerosols in Mammoth Cave National Park, Atmospheric Research, 80, 309-322.   DOI   ScienceOn
19 Lee, H.W., T.J. Lee, S.S. Yang, and D.S. Kim (2008) Identification of atmospheric $PM_{10}$ sources and estimating their contributions to the Yongin-Suwon bordering area by using PMF, J. Korean Soc. Atmos. Environ., 24(4), 439-454. (in Korean with English abstract)   과학기술학회마을   DOI   ScienceOn
20 Lee, J.H., Y. Youshida, B.J. Turpin, P.K. Hopke, R.L. Poirot, P.J. Lioy, and J.C. Oxley (2002) Identification of sources contributing to Mid-Atlantic regional aerosol, Air & Waste Management Association, 52(10), 1186-1205.   DOI   ScienceOn
21 Paatero, P. (1997) Least squares formulation of robust nonnegative factor analysis, Chemom. Intell. Lab. Syst., 37, 23-35.   DOI   ScienceOn
22 Li, Z., P.K. Hopke, L. Husain, S. Qureshi, V.A. Dutkiewicz, J.J. Schwab, F. Drewnick, and K.L. Demerjian (2004) Sources of fine particle composition in New York city, Atmospheric Environment, 38(38), 6521-6529.   DOI   ScienceOn
23 Nitta, H., M. Ichikawa, M. Sato, S. Konishi, and M. Ono (1994) A new approach based on a covariance structure model to source apportionment of indoor fine particles in Tokyo, Atmospheric Environment, 28(4), 631-636.   DOI   ScienceOn
24 Oh, M.S., T.J. Lee, and D.S. Kim (2009) Source identification of ambient size-by-size particulate using the positive matrix factorization model on the border of Yongin and Suwon, Journal of Korean Society for Atmospheric Environment, 25(2), 108-121.   과학기술학회마을   DOI   ScienceOn
25 Paatero, P. (1998) User’s Guide for Positive Matrix Factorization Program PMF2 and PMF3, Part 1: Tutorial, University of Helsinki.
26 Paatero, P. and U. Tapper (1993) Analysis of different models of factor analysis as least squares fit problems, Chemom. Intell. Lab. Syst., 18, 183-194.   DOI   ScienceOn
27 서울시(2007) 서울시 통계연보, 2006.
28 인천메트로(2008) 인천메트로 내부자료.
29 Choi, H.W., I.J. Hwang, S.D. Kim, and D.S. Kim (2004) Determination of source contribution based on aerosol number and mass concentration in the Seoul Subway Station, J. Korean Soc. Atmos. Environ., 20(1), 17-31. (in Korean with English abstract)