Evaluation of PM2.5 Retention Capacity and Structural Optimization of Urban Park Green Spaces in Beijing

Green space can effectively retain particles and improve air quality. However, most studies have focused on leaf-scale measurements or regional-scale model simulations, few focus individual trees. In this study, 176 urban park green spaces were selected within the 5th Ring Road in Beijing, i-Tree Eco was used to estimate PM2.5 retention levels of trees sample plots. The results show that capacity varied according tree species. each plot significantly affected by coverage, species richness, mean height, crown width, number study area estimated be about 6380 t·year−1, quality improvement rate 1.62%. After structural optimizing, mixed coniferous broad-leaved as high 80,000 g·year−1. This studied effects at multiple scales fill gaps existing research communities, it serve a reliable reference for design construction aimed improving