Chen Xiaoping, He Jinyu, Han Meng, Li Xuan, Xu Ruofan, Ma Hang, Wang Xiaoshuang, Wu Xiaogang, Kumar Prashant
College of Urban and Rural Construction, Shanxi Agricultural University, Taigu, Shanxi, China.
College of Urban and Rural Construction, Shanxi Agricultural University, Taigu, Shanxi, China.
Sci Total Environ. 2024 Nov 25;953:176044. doi: 10.1016/j.scitotenv.2024.176044. Epub 2024 Sep 4.
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 PM dispersion within an idealized 3D street canyon under three typical wind directions. Results showed that street greenbelts alter the PM concentration field within canyons, and the horizontal and vertical distribution characteristics of PM 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 PM concentration (ARDC) indicator to assess the influence of different green scenarios on the dispersion of PM concentrations. Wind direction and planting patterns jointly affect the dispersion of PM 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.