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A Computational Fluid Dynamic (CFD) Simulation of PM 10 Dispersion Caused by Rail Transit Construction Activity: A Real Urban Street Canyon Model

Author

Listed:
  • Yang Wang

    (School of Civil Engineering, Wuhan University, Wuhan 430072, China)

  • Ying Zhou

    (School of Civil Engineering, Wuhan University, Wuhan 430072, China)

  • Jian Zuo

    (School of Architecture & Built Environment, Entrepreneurship, Commercialization and Innovation Centre (ECIC), The University of Adelaide, Adelaide, SA 5005, Australia)

  • Raufdeen Rameezdeen

    (School of Natural and Built Environments, University of South Australia; Adelaide, SA 5001, Australia)

Abstract

Particle emissions derived from construction activities have a significant impact on the local air quality, while the canyon effect with reduced natural ventilation contributes to the highest particulate pollution in urban environments. This study attempted to examine the effect of PM 10 emissions derived from the construction of a rail transit system in an urban street canyon. Using a 3D computational fluid dynamic (CFD) model based on a real street canyon with different height ratios, this study formulates the impact of height ratio and wind directions on the dispersion and concentration of PM 10 . The results indicate that parallel flow would cause the concentration of PM 10 at the end of the street canyons in all height ratios, and the trends in horizontal, vertical and lateral planes in all street canyons are similar. While in the condition of perpendicular flow, double-eddy circulations occur and lead to the concentration of PM 10 in the middle part of the street canyon and leeward of backwind buildings in all height ratios. Furthermore, perpendicular flow will cause the concentration of PM 10 to increase if the upwind buildings are higher than the backwind ones. This study also shows that the dispersion of PM 10 is strongly associated with wind direction in and the height ratios of the street canyons. Certain measures could, therefore, be taken to prevent the impact on people in terms of the PM 10 concentration and the heights of street canyons identified in this research. Potential mitigation strategies are suggested, include measurements below 4 m according to governmental regulations, dust shields, and atomized water.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:3:p:482-:d:135608
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    Citations

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    Cited by:

    1. Libiao Bai & Hailing Wang & Ning Huang & Qiang Du & Youdan Huang, 2018. "An Environmental Management Maturity Model of Construction Programs Using the AHP-Entropy Approach," IJERPH, MDPI, vol. 15(7), pages 1-24, June.
    2. 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.
    3. 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.
    4. Yanqing Xiang & Kaihua Lu & Jie Wang & Yanming Ding & Shaohua Mao, 2022. "Numerical Simulation of the Smoke Recirculation Behavior in Street Canyons with Different Aspect Ratios and Cross-Wind Conditions," IJERPH, MDPI, vol. 19(12), pages 1-12, June.

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