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矩形建筑对齐阵列中高层建筑附近的标量通量。

Scalar Fluxes Near a Tall Building in an Aligned Array of Rectangular Buildings.

作者信息

Fuka Vladimír, Xie Zheng-Tong, Castro Ian P, Hayden Paul, Carpentieri Matteo, Robins Alan G

机构信息

1Aerodynamics and Flight Mechanics Group, University of Southampton, Southampton, SO17 1BJ UK.

2EnFlo, University of Surrey, Guildford, GU2 7XH UK.

出版信息

Boundary Layer Meteorol. 2018;167(1):53-76. doi: 10.1007/s10546-017-0308-4. Epub 2017 Nov 4.

Abstract

Scalar dispersion from ground-level sources in arrays of buildings is investigated using wind-tunnel measurements and large-eddy simulation (LES). An array of uniform-height buildings of equal dimensions and an array with an additional single tall building (wind tunnel) or a periodically repeated tall building (LES) are considered. The buildings in the array are aligned and form long streets. The sensitivity of the dispersion pattern to small changes in wind direction is demonstrated. Vertical scalar fluxes are decomposed into the advective and turbulent parts and the influences of wind direction and of the presence of the tall building on the scalar flux components are evaluated. In the uniform-height array turbulent scalar fluxes are dominant, whereas the tall building produces an increase of the magnitude of advective scalar fluxes that yields the largest component. The presence of the tall building causes either an increase or a decrease to the total vertical scalar flux depending on the position of the source with respect to the tall building. The results of the simulations can be used to develop parametrizations for street-canyon dispersion models and enhance their capabilities in areas with tall buildings.

摘要

利用风洞测量和大涡模拟(LES)研究了建筑群中地面源的标量扩散。考虑了一系列尺寸相同、高度一致的建筑物阵列,以及一个额外带有单个高层建筑的阵列(风洞实验)或一个周期性重复的高层建筑阵列(大涡模拟)。阵列中的建筑物排列整齐,形成了长长的街道。展示了扩散模式对风向微小变化的敏感性。垂直标量通量被分解为平流部分和湍流部分,并评估了风向和高层建筑的存在对标量通量分量的影响。在高度一致的阵列中,湍流标量通量占主导地位,而高层建筑会使平流标量通量的大小增加,从而产生最大的分量。高层建筑的存在会导致总垂直标量通量增加或减少,这取决于源相对于高层建筑的位置。模拟结果可用于开发街道峡谷扩散模型的参数化方法,并提高其在有高层建筑区域的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a4e/6566286/9929f99a1cf2/10546_2017_308_Fig1_HTML.jpg

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