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Lattice-Boltzmann Large-Eddy Simulation of pollutant dispersion in street canyons including tree planting effects

机译:Lattice-Boltzmann大涡模拟在街道峡谷中的污染物扩散,包括植树的影响

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摘要

This study assesses the performance of a large eddy simulation (LES) based on the lattice Boltzmann method (LBM) in predicting near field dispersion in street canyons with tree planting. Based on a benchmark test case benefiting from wind tunnel measurements (CODASC), this study qualitatively and quantitatively discusses the prediction of traffic-induced pollutant concentration with respect to several reference studies. It also analyses the physics of the flow and concentration fields. Although the problem might seem rather simple, the flow is highlighted to be strongly three dimensional and transient. These properties enhance pollutant dispersion in the empty street canyon but air flow velocity and turbulence intensity tend to decrease in tree crowns. This effect of trees increases both mean and peak concentration levels at pedestrian level, which may be problematic in cities with dense traffic. These results show that LBM-LES is particularly well suited to study dispersion problems towards the development of more breathable cities.
机译:这项研究评估了基于格子Boltzmann方法(LBM)的大型涡模拟(LES)在预测植树造林的街道峡谷中近场弥散方面的性能。基于受益于风洞测量(CODASC)的基准测试用例,本研究定性和定量地讨论了有关参考研究的交通诱发污染物浓度的预测。它还分析了流场和浓度场的物理性质。尽管问题看似很简单,但突出显示的流程是强烈的三维和瞬态。这些特性增强了空旷街道峡谷中污染物的扩散,但树冠中的空气流速和湍流强度趋于降低。树木的这种作用会增加行人水平上的平均浓度和峰值浓度,这在交通繁忙的城市可能会出现问题。这些结果表明,LBM-LES特别适合于研究分散性问题,以发展更加透气的城市。

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