Effects of roadside trees three-dimensional morphology characteristics on traffic-related PM2.5 distribution in hot-humid urban blocks

被引:11
|
作者
He, Huiyu [1 ]
Zhu, Yushuang [2 ]
Liu, Lin [2 ]
Du, Jing [3 ]
Liu, Liru [2 ]
Liu, Jing [4 ]
机构
[1] Shenzhen Gen Integrated Transportat & Municipal En, Shenzhen 518003, Peoples R China
[2] Guangdong Univ Technol, Sch Civil & Transportat Engn, Guangzhou 510006, Peoples R China
[3] Beijing Union Univ, Coll Biochem Engn, 18 3rd Dist Fatouxili, Beijing 100000, Peoples R China
[4] Harbin Inst Technol, Sch Architecture, Key Lab Cold Reg Urban & Rural Human Settlement En, Minist Ind & Informat Technol, Harbin 150000, Peoples R China
基金
中国国家自然科学基金;
关键词
Roadside trees; Trees morphology; Traffic-relatedPM2; 5; ENVI-met; Hot-humid areas; STREET; DISPERSION; EMISSIONS; PARTICLE; FLOW;
D O I
10.1016/j.uclim.2023.101448
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Urban plants play a significant role in improving the deterioration of air quality caused by extremely heavy traffic. This study aims at exploring the effects of three-dimensional morphology characteristics of road-trees on traffic-related PM2.5 distribution through ENVI-met simulations. Firstly, this study verifies the performance of ENVI-met pollutants dispersion model by com-parison with field measurements. Then a typical high-density block model is built and thirteen simulation groups under varied morphology parameters of height of tree, height of trunk and width of crown are designed in ENVI-met. The results indicate that planting 10 m-height roadside trees is effective for pollutant dilution in the vertical direction, and the trees with high trunk height have a strong capacity in clearing the traffic-related PM2.5 at pedestrian level and promote the diffusion of PM2.5, but excessive crown width would cause PM2.5 escaping from the block hardly and increase pedestrian exposure levels. A practical range of plant morphological pa-rameters is recommended and applied in landscape design that takes seasonal requirements into account.
引用
收藏
页数:23
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