Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China.
Key Laboratory of Tropical Atmosphere-Ocean System, Ministry of Education, Sun Yat-sen University, Zhuhai 519000, China.
Int J Environ Res Public Health. 2022 Mar 16;19(6):3524. doi: 10.3390/ijerph19063524.
Rapid urbanisation and rising vehicular emissions aggravate urban air pollution. Outdoor pollutants could diffuse indoors through infiltration or ventilation, leading to residents’ exposure. This study performed CFD simulations with a standard k-ε model to investigate the impacts of building configurations and tree planting on airflows, pollutant (CO) dispersion, and personal exposure in 3D urban micro-environments (aspect ratio = H/W = 30 m, building packing density λp = λf = 0.25) under neutral atmospheric conditions. The numerical models are well validated by wind tunnel data. The impacts of open space, central high-rise building and tree planting (leaf area density LAD= 1 m2/m3) with four approaching wind directions (parallel 0° and non-parallel 15°, 30°, 45°) are explored. Building intake fraction
快速的城市化和不断增加的车辆排放加剧了城市空气污染。室外污染物可能通过渗透或通风扩散到室内,导致居民暴露在其中。本研究使用标准 k-ε 模型进行 CFD 模拟,以研究建筑物布局和植树对空气流动、污染物(CO)扩散以及 3D 城市微环境中(长宽比= H/W=30m,建筑填充密度λp= λf=0.25)居民个人暴露的影响。数值模型通过风洞数据得到很好的验证。研究了开阔空间、中央高楼大厦和植树(叶面积密度 LAD=1m2/m3)在四种来流方向(平行 0°和非平行 15°、30°、45°)下的影响。采用吸入分数