A CFD study on the effectiveness of trees to disperse road traffic emissions at a city scale
A CFD study on the effectiveness of trees to disperse road traffic emissions at a city scale
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DOI：
10.1016/j.atmosenv.2015.08.003
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发表时间：
2015-11-01
影响因子：
5
通讯作者：
Leigh, R. J.
中科院分区：
文献类型：
--
作者：
Jeanjean, A. P. R.;Hinchliffe, G.;Leigh, R. J.
本文重点研究了树木在城市范围内分散道路交通排放的有效性。空气污染物浓度的CFD模拟是使用OpenFOAM软件平台使用k-mean模型进行的。在应用于代表英国莱斯特市的建筑物和树木的激光雷达数据库之前，对CODASC风洞数据库进行了验证。文献中的大多数其他CFD模型通常使用理想化的建筑物来模拟风流和污染扩散。然而，在这项研究中使用的方法使用激光雷达的真实的建筑物和树木的数据来重建莱斯特市中心的三维表示。它侧重于一个2 x 2 km的区域，其规模大于其他CFD研究中通常使用的规模。此外，本研究的主要重点是树木与风的相互作用。结果发现，实际上，树木对道路交通排放有区域性的有益影响，增加湍流，并减少道路交通排放的环境浓度平均在行人高度的7%。这是一个重要的结果，因为以前的研究通常得出结论，树木通过阻碍街道峡谷中的气流来捕获污染物。因此，这项研究是新颖的，无论是在其方法和随后的结果，突出了当地和区域尺度模型相结合的重要性，评估树木在城市规划的影响。(C)2015作者由爱思唯尔有限公司出版。这是一篇开放获取的文章，使用CC BY许可证（http：//creativecommons.org/licenses/by/4.0/）。
This paper focuses on the effectiveness of trees at dispersing road traffic emissions on a city scale. CFD simulations of air-pollutant concentrations were performed using the OpenFOAM software platform using the k-epsilon model. Results were validated against the CODASC wind tunnel database before being applied to a LIDAR database of buildings and trees representing the City of Leicester (UK). Most other CFD models in the literature typically use idealised buildings to model wind flow and pollution dispersion. However, the methodology used in this study uses real buildings and trees data from LIDAR to reconstruct a 3D representation of Leicester City Centre. It focuses on a 2 x 2 km area which is on a scale larger than those usually used in other CFD studies. Furthermore, the primary focus of this study is on the interaction of trees with wind flow dynamics. It was found that in effect, trees have a regionally beneficial impact on road traffic emissions by increasing turbulence and reducing ambient concentrations of road traffic emissions by 7% at pedestrian height on average. This was an important result given that previous studies generally concluded that trees trapped pollution by obstructing wind flow in street canyons. Therefore, this study is novel both in its methodology and subsequent results, highlighting the importance of combining local and regional scale models for assessing the impact of trees in urban planning. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).