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基于CFD模拟的高密度街区交通污染物分布 被引量:6

Distribution of traffic pollutants in high-density blocks based on CFD simulation
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摘要 高密度城市街区的空间特征对其内部交通污染物的浓度分布有显著影响.为研究高密度城市街区中交通污染物扩散和分布的影响因素,建立了深圳市某高密度街区的空间模型.以东北、西南偏南两个典型风向上模拟的PM2. 5和氮氧化合物浓度作为交通污染物积累的量化指标,采用计算流体动力学模拟的方法,对室外交通污染物的扩散进行数值模拟.结果表明,道路上的交通污染物浓度明显高于建筑组团内部的;尽管污染物的排放可能会引起街区内某些位置的污染物累积,但城市绿化和城市通风廊道等开放空间可能会促进交通污染物的稀释;建筑物形态以及下冲风对交通污染物的扩散有影响. The spatial characteristics of high-density urban blocks have a significant impact on the distribution of internal traffic pollutants. In order to study the influencing factors of the accumulation of traffic pollutants in high-density urban blocks,we establish a spatial model of high-density blocks in Shenzhen to simulate the spread of outdoor traffic pollutants by computational fluid dynamics( CFD). The concentrations of PM2. 5 and NOXsimulated in two typical wind directions,northeast and the south-southwest,are assigned as indicators of traffic pollutant accumulation. The results reveal that the concentration of traffic pollutants on the road is significantly higher than that inside the building groups;Although pollutant emission may probably induce pollutant accumulation in some parts of the blocks,the open spaces such as greenbelts and urban ventilating corridors may facilitate the dilution of traffic pollutants. It is also shown that the building shapes and the downward wind also have different impacts on the dilution effect of traffic pollutants.
作者 袁磊 宛杨 何成 YUAN Lei;WAN Yang;HE Cheng(College of Architecture and Urban Plan, Shenzhen University, Shenzhen 518060, Guangdong Province, P. R. China;Shenzhen Key Laboratory for Optimizing Design of Built Environment, Shenzhen 518060, Guangdong Province, P. R. China)
出处 《深圳大学学报(理工版)》 EI CAS CSCD 北大核心 2019年第3期274-280,共7页 Journal of Shenzhen University(Science and Engineering)
基金 国家重点研发计划资助项目(2018YFC0704900) 深圳科创委资助项目(ZDSYS201603281441304)~~
关键词 城市设计 高密度城市 污染物扩散 计算流体动力学模拟 空气品质 街区形态 urban design high-density city contaminant diffusion computational fluid dynamics simulation air quality block form
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