Concentrations, properties, and health risk of PM2.5 in the Tianjin City subway system

Wang, Baoqing; Liu, Jianfeng; Ren, Zihui; Chen, Rong-Hui

doi:10.1007/s11356-016-7444-0

Cited by 37 publications

(19 citation statements)

References 48 publications

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“…Subway stations are generally connected with the external atmospheric In this study, PM 10 and PM 2.5 concentrations of station in the rush hour were significantly higher than that in the non-rush hour. Particulate matter concentration varied with different time period has also been reported in other city subway stations [39][40]. The reason for this temporal distribution is probably related to the passenger flow.…”

Section: Pm Concentrations In Different Sites Of Stationsupporting

confidence: 62%

Spatio-Temporal Distribution of Particulate Matter (PM10 and PM2.5) Concentrations in Urban Subway Station – A Case of Nanning in China

Wu¹,

Chi²,

Zhu³

2022

Pol. J. Environ. Stud.

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Particulate matter is one of the primary air pollutants in urban subway stations. Characteristics of particulate matter concentration is specific due to the heterogeneity of subway system in each city. The spatio-temporal distribution of particulate matter (PM 10 and PM 2.5 ) concentrations in a typical urban subway station of Nanning city was analyzed. PM 10 and PM 2.5 concentrations of winter were both significantly higher than those of spring, summer and autumn (P<0.001). PM 10 and PM 2.5 concentrations of station were significantly higher than those of the ground control (P<0.001). PM 10 and PM 2.5 concentrations of ticket office were significantly higher than those of platform, security checkpoint and passageway (P<0.001). PM 10 and PM 2.5 levels of station during the rush hour were significantly higher than those during the non-rush hour (P<0.001). There is a positive correlation between PM (PM 10 and PM 2.5 ) levels and passenger flow of station. The results indicated that the spatio-temporal distribution of PM (PM 10 and PM 2.5 ) level may be ascribed to seasonal factor, passenger flow, and layout structure of station respectively. The findings of this study therefore make them possible to be the part of preliminary foundation of subway-related standards improvement for airborne particulate matter in the future.

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Section: Pm Concentrations In Different Sites Of Stationsupporting

confidence: 62%

Spatio-Temporal Distribution of Particulate Matter (PM10 and PM2.5) Concentrations in Urban Subway Station – A Case of Nanning in China

Wu¹,

Chi²,

Zhu³

2022

Pol. J. Environ. Stud.

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“…The PM 2.5 levels in carriage of subway presented a significant reduction after the pandemic than before. Northern China (Beijing and Tianjin) during winter before 2020 had the highest PM 2.5 levels, averaging 62 and 151 μg/m 3 ( Wang et al, 2016a ; Yan et al, 2015 ). The mean level in Nanjing, also located in Yangtze River Delta, was 54 μg/m 3 ( Shen and Gao, 2019 ).…”

Section: Resultsmentioning

confidence: 99%

The effect of COVID-19 restrictions on particulate matter on different modes of transport in China

Lin

Wang

et al. 2022

Environmental Research

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Since the COVID-19 pandemic, ventilation on transport has been improved to control the aerosol transmission. We utilized portable monitors to measure real-time concentrations of PM 10 , PM 2.5 , PM 1.0 and black carbon (BC) on six modes of transport and estimate personal exposures under the epidemic prevention. The mean concentrations of PM 10 , PM 2.5 , PM 1.0 and BC measured on transport were 18.8 ± 19.4, 16.6 ± 16.5, 12.2 ± 10.8 and 4.1 ± 6.9 μg/m 3 , respectively. It reduced PM levels on subway to apply the full fresh air mode rather than partial recirculation mode. Airplane had the lowest concentrations and the highest decay rates, implying the most efficient ventilation and filtration. PM were higher on intra-city transport than inter-city, and significantly increased on arrival at stations. BC and BC/PM ratios were higher on road transport than rail transport, indicating the contribution of exhaust emissions. The ventilation mode to exchange air with the outside and the positive association between concentrations and decay rates on high-speed train suggested filtration efficiency should be improved simultaneously with enhancing ventilation. Wearing facemasks on transport further protects passengers against PM exposure, which reduced personal exposure concentrations on four modes of transport lower than 10 μg/m 3 , the World Health Organization guideline.

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“…However, thresholds of underground PM 2.5 is not included in any of the existing standards. Actually, it is full of heavy metal which may increase health risks of human being [35,55]. Meanwhile, high PM 2.5 -to-PM 10 ratios of over 50% were prior detected in many subway microenvironments [31,56,57].…”

Section: Discussionmentioning

confidence: 99%

Characterization of Urban Subway Microenvironment Exposure—A Case of Nanjing in China

Peng

Xiong

et al. 2019

IJERPH

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Environmental quality in public rail transit has recently raised great concern, with more attention paid to underground subway microenvironment. This research aimed to provide guidance for healthy urban subway microenvironments (sub-MEs) according to comprehensive micro-environmental categories, including thermal environment, air quality, lighting environment, and acoustic environment from both practical and regulation perspectives. Field sampling experiments were conducted in Nanjing Metro Line X (NMLX). Descriptive analysis, correlation analysis and one-way analysis of variance were used to investigate the status quo of urban sub-MEs. A paired samples t-test was then performed to compare among subway station halls, platforms, and in-cabin trains based on integrated sub-MEs. Results show that relative humidity, air velocity, respirable particulate matter (PM10) concentration, and illuminance dissatisfy the requirements in relevant national standards. Significant difference was observed in lighting environment between station hall and platform. It was detected platforms are warmer and more polluted than train cabins. Additionally, subway trains generate main noise on platform which is much louder when leaving than arriving. Protective strategies for sub-ME improvement as well as principles for updating standards were proposed from a proactive point of view. The findings are beneficial for moving towards healthy urban sub-MEs and more sustainable operation of subway systems.

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Concentrations, properties, and health risk of PM2.5 in the Tianjin City subway system

Cited by 37 publications

References 48 publications

Spatio-Temporal Distribution of Particulate Matter (PM<sub>10</sub> and PM<sub>2.5</sub>) Concentrations in Urban Subway Station – A Case of Nanning in China

Spatio-Temporal Distribution of Particulate Matter (PM<sub>10</sub> and PM<sub>2.5</sub>) Concentrations in Urban Subway Station – A Case of Nanning in China

The effect of COVID-19 restrictions on particulate matter on different modes of transport in China

Characterization of Urban Subway Microenvironment Exposure—A Case of Nanjing in China

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