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Spatial Distribution of Fine Particulate Matter in Underground Passageways

Author

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  • Xin-Yi Song

    (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)

  • Qing-Chang Lu

    (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)

  • Zhong-Ren Peng

    (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
    China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China
    Department of Urban and Regional Planning, University of Florida, Gainesville, FL 32611, USA)

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 (PM 2.5 ) 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 PM 2.5 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 PM 2.5 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 PM 2.5 pollution in underground passageways.

Suggested Citation

  • Xin-Yi Song & Qing-Chang Lu & Zhong-Ren Peng, 2018. "Spatial Distribution of Fine Particulate Matter in Underground Passageways," IJERPH, MDPI, vol. 15(8), pages 1-20, July.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:8:p:1574-:d:159893
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    References listed on IDEAS

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    1. Yang Wang & Ying Zhou & Jian Zuo & Raufdeen Rameezdeen, 2018. "A Computational Fluid Dynamic (CFD) Simulation of PM 10 Dispersion Caused by Rail Transit Construction Activity: A Real Urban Street Canyon Model," IJERPH, MDPI, vol. 15(3), pages 1-30, March.
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    Cited by:

    1. Liyang Liu & Hui Liu & Yiming Ma, 2022. "Surrogate-Assisted Fine Particulate Matter Exposure Assessment in an Underground Subway Station," IJERPH, MDPI, vol. 19(4), pages 1-25, February.
    2. Meiying Jiang & Qibing Jin & Lisheng Cheng, 2019. "Effects of Ticket-Checking Failure on Dynamics of Pedestrians at Multi-Exit Inspection Points with Various Layouts," IJERPH, MDPI, vol. 16(5), pages 1-16, March.

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