Numerical study of the effects of trees on outdoor particle concentration distributions

Outdoor particles are a major contributor to indoor particles which influence the indoor air quality. The outdoor particle concentration also affects the outdoor air quality but the real outdoor particle concentration around buildings may differ from monitored concentrations at monitoring sites. One main factor is the effect of vegetation, especially trees. Numerical simulations were used to investigate the effects of trees on particle concentration distributions around target buildings. The drift flux model was combined with the Reynolds-Averaged Navier-Stokes (RANS) model to model the particle distribution and the airflow. Thirteen cases were analyzed to compare the effects of tree type, tree-building distance and tree canopy-canopy distance on the outdoor particle concentration distribution. The results show that cypress trees reduce the outdoor particle concentration more than pine trees, that shorter tree-building distances (TBD) reduce the particle concentration more than longer tree-building distances, and that a zero tree canopy-canopy distance (CCD) reduces the particle concentration more than CCD=2 m. These results provide guidelines for determining the most effective configuration for trees to reduce outdoor particle concentrations near buildings.