Technical Papers
May 6, 2021

Toward PM2.5 Distribution Patterns Inside Symmetric and Asymmetric Street Canyons: Experimental Study

Publication: Journal of Environmental Engineering
Volume 147, Issue 7

Abstract

Distribution patterns of particulate matter 2.5 (PM2.5) inside urban street canyons varies according to the street canyon enclosure ratio (SCER) and traffic flow states, and therefore they affect people in different positions of street canyons to different extents. This paper studied PM2.5 distribution patterns in both symmetric and asymmetric street canyons by using the computational fluid dynamics technique. Simulation experiments were conducted in a series of isolated street canyons in Beijing with five SCERs and three types of traffic flow states. The results of the simulation experiments were verified with on-site data. The results are threefold: (1) PM2.5 emitted by the vehicles gathers around the corners of leeward buildings of street canyons, and this phenomenon tends to be aggravated by heavy traffic flow states in most scenarios; (2) of five SCERs, it was the most difficult for PM2.5 to spread out of the canyons with SCER = 2:1:2, whereas it was the easiest for PM2.5 to spread out of the canyons with SCER = 2:2:1; and (3) pedestrians and residents on the leeward side of asymmetric street canyons are exposed to the highest PM2.5 concentration. The findings of this research will assist in designing street canyons, controlling the traffic flow, and developing measures to reduce the harm of PM2.5 to the public.

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Data Availability Statement

All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

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Go to Journal of Environmental Engineering
Journal of Environmental Engineering
Volume 147Issue 7July 2021

History

Received: Aug 26, 2020
Accepted: Mar 1, 2021
Published online: May 6, 2021
Published in print: Jul 1, 2021
Discussion open until: Oct 6, 2021

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Zhonghua Wei [email protected]
Associate Professor, Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing Univ. of Technology, No. 100 Pingleyuan, Chaoyang District, Beijing 100124, China. Email: [email protected]
Jingxuan Peng [email protected]
Graduate Student, Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing Univ. of Technology, No. 100 Pingleyuan, Chaoyang District, Beijing 100124, China. Email: [email protected]
Research Development Engineer, CRSC Communication and Information Corporation, No. 6 Courtyard, Bowuguan South Rd., Fengtai District, Beijing 100070, China. Email: [email protected]
Shi Qiu, M.ASCE [email protected]
Professor, College of Civil Engineering, Central South Univ., No. 932 Lushan South Rd., Changsha 410083, China. Email: [email protected]
Associate Professor, Faculty of Information Technology, Beijing Univ. of Technology, No. 100 Pingleyuan, Chaoyang District, Beijing 100124, China (corresponding author). ORCID: https://orcid.org/0000-0002-3045-624X. Email: [email protected]

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