Particulate Matter (PM2.5 and PM10) Concentration of Subway Transfer Stations in Beijing, China
Xinru Wang,
Liang Xia,
Fei Pei,
Li Chang,
Wen Tong Chong,
Zu Wang and
Song Pan
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Xinru Wang: Mechanical Engineering College, Tianjin University of Commerce, Tianjin 300134, China
Liang Xia: Research Centre for Fluids and Thermal Engineering, University of Nottingham Ningbo China, Ningbo 315100, China
Fei Pei: Department of Mechanical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia
Li Chang: Department of Mechanical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia
Wen Tong Chong: Department of Mechanical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia
Zu Wang: Research Centre for Fluids and Thermal Engineering, University of Nottingham Ningbo China, Ningbo 315100, China
Song Pan: Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing 100124, China
Sustainability, 2022, vol. 14, issue 3, 1-17
Abstract:
Although much research is being conducted on the characteristics of PM2.5 and PM10 at subway stations, there is no research focusing on a complex subway transfer station. In this paper, the characteristics of PM2.5 and PM10 at transfer stations are studied. For comparison, monitoring is performed under different outside conditions at four different transfer stations in the non-peak period during March 2018. The concentrations of PM2.5 and PM10 on the platform in the transfer stations is approximately 10 μg/m 3 lower than in the non-transfer station, when outside PM2.5 is lower than 150 μg/m 3 . However, the ratio of PM2.5 to PM10 at the transfer stations (lowest: 78.1%) is higher than at the non-transfer station (lowest: 61.2%), indicating that the PM10 content differs from the non-transfer station. In a transfer station with the same depth, the PM concentration is the same or similar. In addition, the concentration of PM2.5 at subway stations has a strong correlation with the outside environment (R 2 = 0.897), which indicates that an outside condition is important for the subway environment.
Keywords: transfer station; PM2.5; PM10; concentration ratio (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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