Properties and sources of individual particles and some chemical species in the aerosol of a metropolitan underground railway station

Salma, Imre; Pósfai, Mihály; Kovács, Kristóf; Кузманн, Э.; Homonnay, Z.; Posta, József

doi:10.1016/j.atmosenv.2009.04.042

Cited by 72 publications

(42 citation statements)

References 15 publications

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“…지하역사의 오염물질 농도에 대한 조사는 미세먼 지 (Park et al, 2013;Cheng and Yan, 2011;Lee et al, 2010;Salma et al, 2009;Kim et al, 2008;Park and Ha, 2008)를 중심으로 이루어졌으며, 지하공간이라는 특 이성 때문에 라돈 (Jeon et al, 2012;Espinosa and Gammage, 1995 The number of boarding/alighting passengers. …”

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Evaluation on Indoor Air Quality by Statistical Analysis of Indoor Air Pollutants Concentration in a Seoul Metropolitan Underground Railway Station

Yim¹,

Lee²,

Kim³

et al. 2014

Journal of Korean Society for Atmospheric Environment

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The objective of this study was to explore the characteristics of concentration of indoor air pollutants, such as PM 10 , CO 2 , and NO 2 , measured by tele-monitoring system in a Seoul Metropolitan underground railway station from January 1, 2008 to December 31, 2012. The annual average concentration of indoor air pollutants actually varied over a wide range and was found to exhibit marked variation with time and measurement sites (tunnel inlet, platform, and concourse). After installing platform screen doors, the average PM 10 concentration on platform and concourse was decreased by 43.8% and 31.2%, respectively during the study periods. The relationship between the concentration of PM 10 and meteorological parameters (relative humidity and rainfall) or the Asian dust events was regarded as statistically significant. The correlations between the number of boarding/alighting passengers and PM 10 , CO 2 , and NO 2 were calculated. A p-value of less than 0.01 was regarded as significant except NO 2 . The I/O ratio of PM 10 concentration was elevated after a congested time (about 08:00 am). The average I/O ratios of NO 2 were observed in concourse and platform on 03:00 am with 1.76±0.91 and 1.50±0.51, respectively. The average daily variation of standard excess rate of PM 10 and NO 2 concentration in concourse and platform was investigated. The highest standard excess rate was observed on 21:00 (09:00 pm). Cheng and Yan, 2011;Lee et al., 2010;Salma et al., 2009;Kim et al., 2008;Park and Ha, 2008

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“…The highest standard excess rate was observed on 21:00 (09:00 pm). Cheng and Yan, 2011;Lee et al, 2010;Salma et al, 2009;Kim et al, 2008;Park and Ha, 2008 …”

Section: Introductionmentioning

confidence: 99%

Evaluation on Indoor Air Quality by Statistical Analysis of Indoor Air Pollutants Concentration in a Seoul Metropolitan Underground Railway Station

Yim¹,

Lee²,

Kim³

et al. 2014

Journal of Korean Society for Atmospheric Environment

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“…•권명희 (Morabia and Amstislavski, 2009;Tsai et al, 2008;Lau and Chan, 2003;Adams et al, 2001), 역사에서의 오염물질 현황 분석 (Cheng et al, 2009;Murruni et al, 2009;Salma et al, 2009;Cheng et al, 2008;Salma et al, 2007;Aarnio et al, 2005), 실시간 측정 장비를 이용한 객실 오염물질 분석 (Som et al, 2007;Braniš, 2006;Li et al, 2006) 등 공기질 측정위주의 연구와 실내공기오염에 대한 모델 개발 (Shek and Chan, 2008;Wong et al, 2008;Halios and Helmis, 2007;Zhao and Wu, 2007;Wong et al, 2006) 등이 주로 진행된 바 있 다. 국내에서도 지하철 전동차나 역사에서 오염물질 농도 분포 (Kim et al, 2008;Park and Ha, 2008;Cho et al, 2006) …”

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Air Quality in the Subway Cabins of the Seoul Metropolitan Area and Analysis of Its Influencing Factors Using Multivariate Statistics

Park¹,

Park²,

Youngmin³

et al. 2011

Journal of Korean Society for Atmospheric Environment

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“…For example, in Seoul, the capital city of the Republic of Korea, there are 13 subway lines currently in operation and about 7.5 million people use them every day. Due to friction between train wheels and rails, as well as between brake disks and shoes, PM 10 consisting of metallic particles (Fe being a major component, but also Cr, Mn, Cu, and Zn) are generated in underground tunnels (Kang et al, 2008;Raut et al, 2009;Salma et al, 2009;Jung et al, 2010Jung et al, , 2012. The generated PM 10 has a great influence on air quality inside the subway train (Cheng et al, 2012), and spreads to the platform due to the wind created when trains pass (Park et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Performance Estimation of a Louver Dust Collector Attached to the Bottom of a Subway Train Running in a Tunnel

Sim

Yoon²,

Woo

et al. 2017

Aerosol Air Qual. Res.

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In underground tunnels, friction between the wheels and rails of subway trains creates particles, which are spread by the wind generated when trains pass by. A louver dust collector was attached to the bottom of a T-car of Seoul Subway Line 5 train in an effort to remove PM 10 inside tunnels, and obtain data when it was in actual operation. It made several round trips during which differential pressure of the louver dust collector was measured in relation to train speed. By comparing and verifying the differential pressure estimated by simulation and that actually measured, it was possible to estimate average flow of air that went into the louver dust collector. Furthermore, by comparing and verifying the measurement results on collection efficiency of a lab-scale louver dust collector in a wind tunnel, along with the results of numerical analysis, it was possible to estimate the collection efficiency in relation to subway train speed. As a result, it was confirmed that higher running speeds of subway trains increased the flow of air going into the louver dust collector and subsequently decreased the particle size corresponding to 50% collection efficiency. In other words, the cut-off size was estimated to be 9.7 µm at the lowest speed of 5 km h -1 , and 4.9 µm at the top speed of 65 km h -1 , in normal speed range for the Seoul Subway Line 5 trains.

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Properties and sources of individual particles and some chemical species in the aerosol of a metropolitan underground railway station

Cited by 72 publications

References 15 publications

Evaluation on Indoor Air Quality by Statistical Analysis of Indoor Air Pollutants Concentration in a Seoul Metropolitan Underground Railway Station

Evaluation on Indoor Air Quality by Statistical Analysis of Indoor Air Pollutants Concentration in a Seoul Metropolitan Underground Railway Station

Air Quality in the Subway Cabins of the Seoul Metropolitan Area and Analysis of Its Influencing Factors Using Multivariate Statistics

Performance Estimation of a Louver Dust Collector Attached to the Bottom of a Subway Train Running in a Tunnel

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