Building removal of particulate pollutant plume during outdoor resuspension event
Building removal of particulate pollutant plume during outdoor resuspension event
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DOI：
10.1016/j.buildenv.2014.02.002
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发表时间：
2014-05
影响因子：
7.4
通讯作者：
Jing Qian;Behtash Tavakoli;Iman Goldasteh;G. Ahmadi;A. Ferro
中科院分区：
文献类型：
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作者：
Jing Qian;Behtash Tavakoli;Iman Goldasteh;G. Ahmadi;A. Ferro
建筑物在颗粒物运输过程中降低室外污染物水平的能力尚未得到彻底调查。本研究表明，CFD模拟与多区域模拟相结合可以提供PM污染物羽流通过建筑物时的去向和传输的完整图像。对浓度分别为56、93、93和74μg/m~3、浓度分别为0.85μm、2.63μm、3.94μm和8.77μm的6×10~3×6~6×6~3×6.3~3米建筑的羽流进行了数值模拟。建筑物去除率分别为79%±0.4m g/h、182m±10m g/h、209m±2.12m g/h、280m±2.6m g/h，分别为烟气源排放率的0.1%、0.13%、0.15%和0.25%。建筑物的拆除主要由建筑物围护结构中的沉降物和建筑物裂缝中的沉降物来贡献。建筑物的除尘率随颗粒大小的不同而变化，受风向的影响比建筑物空气处理系统的进风口位置更大。由此产生的室内PM浓度通过多区域模拟估计，随颗粒大小和区域而变化，并受建筑物裂缝开口的排列和风向的影响。该模拟方法可用于研究城市环境中高密度建筑群对污染物羽流的减量，以及人体对室内羽流的暴露情况。与混合良好的模型相比，CFD生成的建筑物周围的空间分辨污染物浓度提高了室内暴露于室外PM羽流的预测精度。
The capacity of buildings to reduce the outdoor pollutant level during particle transport has not been thoroughly investigated. This study demonstrates that CFD modeling combined with multizone modeling can provide a complete picture on the fate and transport of PM pollutant plume passing a building. A plume intersecting a 6 m × 6 m × 6.3 m building with concentrations of 56, 93, 93, and 74 μg/m3for 0.85 μm, 2.63 μm, 3.94 μm, and 8.77 μm particles, respectively, is simulated. The building removal rates are 79 ± 4 mg/h, 182 ± 10 mg/h, 209 ± 12 mg/h, 280 ± 26 mg/h, which are 0.1%, 0.13%, 0.15%, and 0.25% of the plume source emission rates, respectively. The building removal is mainly contributed by the deposition to the building envelope and deposition in the building cracks. The building removal rate varies with particle size, and is more affected by wind direction than the air intake location for the building air handling system. The resulting indoor PM concentration, estimated via multizone modeling, varies with particle size and zone, and is affected by the alignment of building crack openings and wind direction. The demonstrated simulation method can be used to investigate the reduction of a pollutant plume by high-density building clusters in the urban environment as well as the human exposure to the plume indoors. As compared to well-mixed models, the CFD generated spatially-resolved pollutant concentration around the building improves the accuracy of the prediction of indoor exposure to outdoor PM plumes.