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Chen X, He J, Han M, Li X, Xu R, Ma H, Wang X, Wu X, Kumar P. Understanding the impacts of street greening patterns and wind directions on the dispersion of fine particles. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 953:176044. [PMID: 39241887 DOI: 10.1016/j.scitotenv.2024.176044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Revised: 08/24/2024] [Accepted: 09/03/2024] [Indexed: 09/09/2024]
Abstract
Inappropriate planting patterns can increase pollutant concentrations and threaten human health. This study examined three greening patterns (trees, trees + hedges, and hedges) using the ENVI-met model to evaluate the different effects of various planting patterns on PM2.5 dispersion within an idealized 3D street canyon under three typical wind directions. Results showed that street greenbelts alter the PM2.5 concentration field within canyons, and the horizontal and vertical distribution characteristics of PM2.5 under different wind directions were significantly different. The arbor-hedge vegetation structure showed the highest total vegetation deposition amount due to larger canopy volumes while hedges have better deposition amounts per unit volume due to their proximity to emission sources. Additionally, this research selected the averaged relative difference in PM2.5 concentration (ARDC) indicator to assess the influence of different green scenarios on the dispersion of PM2.5 concentrations. Wind direction and planting patterns jointly affect the dispersion of PM2.5 in canyons, and the ARDC varied from -4.39 % to 105.36 %. Unilateral-trees on the windward side or two rows of hedges may be the optimal vegetation layout by trade-off with other services. ARDC was significantly correlated (p < 0.01) with most of the 3D green indicators. These results could provide effective suggestions for optimizing the layout of greenbelts in street canyons to improve air quality.
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Affiliation(s)
- Xiaoping Chen
- College of Urban and Rural Construction, Shanxi Agricultural University, Taigu, Shanxi, China.
| | - Jinyu He
- College of Urban and Rural Construction, Shanxi Agricultural University, Taigu, Shanxi, China
| | - Meng Han
- College of Urban and Rural Construction, Shanxi Agricultural University, Taigu, Shanxi, China
| | - Xuan Li
- College of Urban and Rural Construction, Shanxi Agricultural University, Taigu, Shanxi, China
| | - Ruofan Xu
- College of Urban and Rural Construction, Shanxi Agricultural University, Taigu, Shanxi, China
| | - Hang Ma
- College of Urban and Rural Construction, Shanxi Agricultural University, Taigu, Shanxi, China
| | - Xiaoshuang Wang
- School of Environmental Art, Hubei Institute of Fine Arts, Wuhan 430202, China
| | - Xiaogang Wu
- Forestry College of Shanxi Agricultural University, Taigu, Shanxi, China
| | - Prashant Kumar
- Global Centre for Clean Air Research (GCARE), School of Sustainability, Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, United Kingdom; Institute for Sustainability, University of Surrey, Guildford GU2 7XH, Surrey, United Kingdom
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