Modelling the effectiveness of urban trees and grass on PM2.5 reduction via dispersion and deposition at a city scale

Abstract

Green infrastructure can reduce PM 2.5 traffic emissions on a city scale, by a combination of dispersion by trees and deposition on buildings, trees and grass. Simulations of PM 2.5 concentrations were performed using a validated CFD model. A 2 × 2 km area has been reconstructed as a 3D representation of Leicester (UK) city centre which is on a scale larger than most of the other CFD studies. Combining both the effects of tree aerodynamics and the deposition capabilities of trees and grass is also something that has not yet been modelled at this scale. During summer time in Leicester City, the results show that the aerodynamic dispersive effect of trees on PM 2.5 concentrations result in a 9.0% reduction. In contrast, a decrease of PM 2.5 , by 2.8% owing to deposition on trees (11.8 t year −1 ) and 0.6% owing to deposition on grass (2.5 t year −1 ), was also observed. Trees and grass are shown to have greater effects locally, as smaller decreases in PM 2.5 were found when considering reduction across the whole boundary layer. Densely built areas like Leicester City centre have relatively less vegetation and subsequently have a smaller effect on PM 2.5 concentration. It was found that particle deposition on buildings was negligible with less than 0.03%. An empirical equation was derived to describe the changes in PM 2.5 based on ground surface fraction of trees and grass, and their deposition velocities.