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PMID: 40380826 Published · ppublish English Journal Article

Numerical modeling of the effects of motor vehicle lanes layout on the transport and dispersion of exhaust pollutants in urban street canyons.

Ying yong sheng tai xue bao = The journal of applied ecology ·Vol. 36 ·No. 3 ·2025-03-18 ·页码 671-681

Liu W, Huang ZD, Zhan QM, Zhang HL, Zhao FY, Guo RZ

Abstract

To reveal the impacts of motor vehicle lane layout on street-canyon air quality, we used computational fluid dynamics (CFD) numerical simulations to construct models for the transport and diffusion of traffic exhaust pollutants in urban street canyons under different lane layouts, and investigated the effects of the lane number and location on the distribution and diffusion of traffic exhaust pollutants in urban street canyons. The results showed that the number and location of motor vehicle lanes significantly affected the distribution and dispersion of pollutants in urban street canyons, but such impacts depended on the in-canyon airflow structure. Air quality within shallow street canyons was generally better than that of deep street canyons. Furthermore, air quality on the leeward side of shallow canyons was poorer than that on the windward side, whereas the spatial heterogeneity of air pollutant distribution in deep canyons differed due to the location of motor vehicle lanes. The configuration of motor vehicle lanes could change the spatial homogeneity of pollutant distribution within urban street canyons and promote the diffusion and removal of traffic exhaust pollutants, and consequently improve the in-canyon air quality. Controlling the number of lanes and placing them closer to the upstream building facilitated the improvement of air quality at the pedestrian level and on the windward side in shallow street canyons. Increasing the number of lanes and locating them nearer to the downstream building could reduce pedestrian-level air pollution risks at the leeward side in deep street canyons. Our findings could provide a scientific reference for numerical modeling of pollutant dispersion in street canyons and help develop urban design strategies for enhancing in-canyon air quality.

Keywords
computational fluid dynamics simulation motor vehicle lane layout pedestrian area pollutant dispersion street canyon
MeSH 主题词
Vehicle Emissions/analysis Cities Air Pollutants/analysis Models, Theoretical China Motor Vehicles Environmental Monitoring/methods Computer Simulation Air Movements Environment Design
化学物质
Vehicle Emissions Air Pollutants
作者与单位
共 6 位作者,点击展开单位 / ORCID
Liu Wen
Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, Guangdong, China. | State Key Laboratory of Subtropical Building and Urban Science, Shenzhen 518060, Guangdong, China. | Guangdong-Hong Kong-Macau Joint Laboratory for Smart Cities, Shenzhen 518060, Guangdong, China.
Huang Zheng-Dong
Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, Guangdong, China. | State Key Laboratory of Subtropical Building and Urban Science, Shenzhen 518060, Guangdong, China. | Guangdong-Hong Kong-Macau Joint Laboratory for Smart Cities, Shenzhen 518060, Guangdong, China.
Zhan Qing-Ming
School of Urban Design, Wuhan University, Wuhan 430072, China.
Zhang Hong-Liang
School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China.
Zhao Fu-Yun
School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China.
Guo Ren-Zhong
Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, Guangdong, China. | State Key Laboratory of Subtropical Building and Urban Science, Shenzhen 518060, Guangdong, China. | Guangdong-Hong Kong-Macau Joint Laboratory for Smart Cities, Shenzhen 518060, Guangdong, China.
Article Info
Journal
Ying yong sheng tai xue bao = The journal of applied ecology
Abbr.
Ying Yong Sheng Tai Xue Bao
ISSN
1001-9332
Published
2025-03-18
页码
671-681
Language
English
Country/Region
China
NLM ID
9425159
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