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各种三维建筑布局和树木种植对城市污染物扩散和建筑物吸入分数的数值研究。

Numerical Investigations of Urban Pollutant Dispersion and Building Intake Fraction with Various 3D Building Configurations and Tree Plantings.

机构信息

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.

出版信息

Int J Environ Res Public Health. 2022 Mar 16;19(6):3524. doi: 10.3390/ijerph19063524.

DOI:10.3390/ijerph19063524
PMID:35329210
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8951778/
Abstract

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 is adopted for exposure assessment. The change rates of demonstrate the impacts of different urban layouts on the traffic exhaust exposure on residents. The results show that open space increases the spatially-averaged velocity ratio (VR) for the whole area by 0.40−2.27%. Central high-rise building (2H) can increase wind speed by 4.73−23.36% and decrease the CO concentration by 4.39−23.00%. Central open space and high-rise building decrease under all four wind directions, by 6.56−16.08% and 9.59−24.70%, respectively. Tree planting reduces wind speed in all cases, raising by 14.89−50.19%. This work could provide helpful scientific references for public health and sustainable urban planning.

摘要

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。采用吸入分数来评估暴露情况。的变化率表明不同城市布局对居民交通废气暴露的影响。结果表明,开阔空间使整个区域的平均速度比(VR)增加了 0.40-2.27%。中央高楼大厦(2H)可以将风速提高 4.73-23.36%,并降低 4.39-23.00%的 CO 浓度。中央开阔空间和高楼大厦在所有四个来流方向下都降低了,分别降低了 6.56-16.08%和 9.59-24.70%。植树在所有情况下都会降低风速,使增加 14.89-50.19%。这项工作可为公共卫生和可持续城市规划提供有益的科学参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/fb200012ed55/ijerph-19-03524-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/12275e049478/ijerph-19-03524-g0A1a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/1333840915f6/ijerph-19-03524-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/6ca7c3269938/ijerph-19-03524-g0A3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/671be71ec4c8/ijerph-19-03524-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/39d9b46f4fdd/ijerph-19-03524-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/a66d57c265fb/ijerph-19-03524-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/ecf3b8b591e8/ijerph-19-03524-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/28ebf72cca0f/ijerph-19-03524-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/0cfe6a6335be/ijerph-19-03524-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/b303a392ed6b/ijerph-19-03524-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/97db0d83527b/ijerph-19-03524-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/661d8cd5dbbe/ijerph-19-03524-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/fb200012ed55/ijerph-19-03524-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/12275e049478/ijerph-19-03524-g0A1a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/1333840915f6/ijerph-19-03524-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/6ca7c3269938/ijerph-19-03524-g0A3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/671be71ec4c8/ijerph-19-03524-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/39d9b46f4fdd/ijerph-19-03524-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/a66d57c265fb/ijerph-19-03524-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/ecf3b8b591e8/ijerph-19-03524-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/28ebf72cca0f/ijerph-19-03524-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/0cfe6a6335be/ijerph-19-03524-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/b303a392ed6b/ijerph-19-03524-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/97db0d83527b/ijerph-19-03524-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/661d8cd5dbbe/ijerph-19-03524-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d4d/8951778/fb200012ed55/ijerph-19-03524-g010.jpg

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