Particulate matter(PM)is a major source of urban air pollution that poses a serious threat to the environment and human health.This study utilizes mathematical models and multi-source satellite remote sensing data to quantify the reduction of PM2.5 and PM10 in urban green spaces in China from 2000 to 2020,and analyzes its spatiotemporal variations and the impact of environmental factors.The experimental results show that:from 2000 to 2020,the dry deposition effect of PM2.5 and PM10 on vegetation shows an initial increasing and then decreasing trend caused by the sudden drop in atmospheric pollutant particle concentration driven by local policies;the dominant tree species of dry subsidence are evergreen broad-leaved＞deciduous broad-leaved＞evergreen coniferous＞deciduous coniferous,and the broad-leaved forest accounts for 89.22％of the total dry subsidence;the coherence between PM2.5 reduction and these factors is more complex than that of PM10,with precipitation being the best variable to explain the change in PM2.5 and PM10.These findings are important for the prevention and control of urban air pollution and sustainable development of cities.
维普
万方数据