Study on the Impacts of Vegetation on Wind Environment in Residential District Combined Numerical Simulation and Field Experiment

B. Hong, B.R. Lin, L.H. Hu, S.H. Li
2012 Procedia Environmental Sciences  
Residential area greening, one of key measures for urban reforestation, is regarded as one of the most effective methods to improve the outdoor microclimate. Better ventilation is considered crucial for improving the inferior outdoor thermal environment in summer. On the other hand, stronger wind in winter is unpleasant for pedestrian from a thermal comfort viewpoint. So it is necessary to determine better vegetation type selection and arrangement in the green space among buildings to achieve a
more » ... comfortable outdoor thermal environment. This study investigated the influences of vegetation on wind environment in residential district by carrying out field experiments in Ivy town residential area in Beijing, and then, numerical simulation with SPOTE (Simulation Platform for Outdoor Thermal Environment) experiments for outdoor thermal environment of vegetation was adopted for comparison. The study could be described as follows: 1) By comparing the experiment data with simulation results, it could be concluded that the wind field simulated were consistent with the actual wind field, and the wind flow distribution impacted by vegetation could be accurately reflected; 2) In order to investigate influence of different vegetation on wind filed, the wind velocity with vegetation and without vegetation were compared both in winter and summer, for these simulation results will help us determine which vegetation to plant in green space in that we can predict the effects of vegetation on wind environment; 3) And after that, by adjusting arrangement and types of vegetation in the regions where the wind environment was unpleasant for pedestrian thermal comfort both in winter and summer, the pedestrian-level wind velocity could be obviously improved through the simulation and comparison.
doi:10.1016/j.proenv.2012.01.164 fatcat:bwm7qmu4hvarlkreccgcjkzedy