查看文章

The impact of traffic pollution on the health and safety of residents that live in roadside residential buildings has been a major concern for governments. This study investigated the spatial distributions of PM 2.5 concentration due to road traffic emissions and put forward a spatial distribution model for the estimation of PM 2.5 concentration (SDC) based on Machine Learning. Meanwhile, based on the SDC model, the decrease in life expectancy (DLE) of residents was assessed. On-site monitoring of PM 2.5 concentration was conducted on different floors of a typical residential building situated by the roadside. Computational Fluid Dynamics (CFD) simulation was conducted for the spatial distribution analysis of PM 2.5 concentration, which was verified by measurements. The findings show the PM 2.5 concentration decreased from 74 μ g/m 3 to 43 μ g/m 3 within 0 to 120 m distance from the road, and decreased from …