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PMID: 30044418 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

Spatial Distribution of Fine Particulate Matter in Underground Passageways.

Song XY, Lu QC, Peng ZR

Abstract

The unfavorable locations of underground infrastructures and poor ventilation facilities can result in the deterioration of enclosed air quality. Some researchers have studied air quality and ventilation measures in different types of underground buildings. However, few studies have investigated the pollution in pedestrian passageways connecting underground structures. Hence, in this paper, we attempted to investigate the spatial distribution of fine particulate matter (PM2.5) in underground passageways. First, measurements were designed and conducted in a pedestrian passageway beneath the Shanghai South Railway Station, Shanghai, China. Second, numerical simulations were performed based on computational fluid dynamic (CFD) technology. Finally, the numerical simulations were extended to examine impacts of the ventilation measures on PM2.5 concentration with different inlet positions and air velocity in underground passageways. The simulation results showed good agreement with the experimental data, and the numerical model was validated to be an effective method to investigate the spatial distribution of PM2.5 in underground passageways. Results suggest that building additional entrances is an advisable method for improving air quality in the underground passageways of the Shanghai South Railway Station, while jet fans are not recommended. Findings of this study offer suggestions for mitigating PM2.5 pollution in underground passageways.

Keywords
PM2.5 computational fluid dynamic (CFD) underground passageway ventilation
MeSH 主题词
Air Pollutants/analysis Air Pollution/analysis Algorithms China Environmental Monitoring Humans Particle Size Particulate Matter/analysis Railroads Spatial Analysis Ventilation
化学物质
Air Pollutants Particulate Matter
作者与单位
共 3 位作者,点击展开单位 / ORCID
Song Xin-Yi
Center for Intelligent Transportation Systems and Unmanned Aerial Systems Applications, State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. [email protected].
Lu Qing-Chang
Center for Intelligent Transportation Systems and Unmanned Aerial Systems Applications, State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. [email protected].
Peng Zhong-Ren
Center for Intelligent Transportation Systems and Unmanned Aerial Systems Applications, State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. [email protected]. | China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China. [email protected]. | Department of Urban and Regional Planning, University of Florida, Gainesville, FL 32611, USA. [email protected].
Article Info
Journal
International journal of environmental research and public health
Abbr.
Int J Environ Res Public Health
ISSN
1660-4601
Published
2018-00-25
电子出版
2018-00-25
Language
English
Country/Region
Switzerland
NLM ID
101238455
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