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PMID: 36180533 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

Numerical simulation of the influence of building-tree arrangements on wind velocity and PM2.5 dispersion in urban communities.

Scientific reports ·Vol. 12 ·No. 1 ·2022-00-30 ·页码 16378

Li F, Rubinato M, Zhou T, Li J, Chen C

Abstract

Airflow behavior and outdoor PM2.5 dispersion depend significantly on the building-tree layouts and orientation towards the prevailing wind conditions. To investigate this issue, the present work evaluates the aerodynamic effect of different building-tree layouts on the outdoor PM2.5 dispersions in the urban communities of Shijiazhuang City, China. The adopted numerical CFD technique was based on the standard k-ε model and the Disperse Phase Model (DPM). For this study, ten different building-tree arrangements were conceptualized and all these configurations were simulated by using Ansys Fluent software to quantify the implications on the outdoor PM2.5 dispersion due to their presence. The results have shown that: (1) a wide building interval space could benefit the air ventilation and thus decrease PM2.5 concentrations, however, this effectiveness is highly influenced by the presence of the trees; (2) the trees on the leeward side of a building tend to increase the local wind velocity and decrease the pedestrian-level PM2.5 concentrations, while those on the windward side tend to decrease the wind velocity. The small distance with trees in the central space of the community forms a wind shelter, hindering the particle dispersion; and (3) the configuration of parallel type buildings with clustered tree layouts in the narrow central space is most unfavorable to the air ventilation, leading to larger areas affected by excessive PM2.5 concentration.

MeSH 主题词
Air Pollutants/analysis Cities Environmental Monitoring/methods Models, Theoretical Particulate Matter/analysis Trees Ventilation Wind
化学物质
Air Pollutants Particulate Matter
作者与单位
共 5 位作者,点击展开单位 / ORCID
Li Fan
School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan, 523808, China. | Key Laboratory of Engineering Software, Center for Hydrosphere Science, Dongguan University of Technology, Dongguan, 523808, China.
Rubinato Matteo
Centre for Agroecology, Water and Resilience, Coventry University, Coventry, CV8 3LG, UK. [email protected].
Zhou Tao
School of Management Science and Real Estate, Chongqing University, Chongqing, 400044, China.
Li Jiaye
School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan, 523808, China. | Key Laboratory of Engineering Software, Center for Hydrosphere Science, Dongguan University of Technology, Dongguan, 523808, China.
Chen Chen
School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan, 523808, China. | Key Laboratory of Engineering Software, Center for Hydrosphere Science, Dongguan University of Technology, Dongguan, 523808, China.
Article Info
Journal
Scientific reports
Abbr.
Sci Rep
ISSN
2045-2322
Corresponding email
Published
2022-00-30
电子出版
2022-00-30
页码
16378
Language
English
Country/Region
England
NLM ID
101563288
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