Stochastic backscatter modelling for the prediction of pollutant removal from an urban street canyon: A large-eddy simulation
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- 作者：J.J. O&rsquo ; Neilla ; X.-M. Caia ; x.cai@bham.ac.uk" class="auth_mail" title="E-mail the corresponding author ; R. Kinnersleyb
- 关键词：Large-eddy simulation ; Roof-level shear layer ; Stochastic backscatter modelling ; Street canyon ; Urban canopy air pollution
- 刊名：Atmospheric Environment
- 出版年：2016
- 出版时间：October 2016
- 年：2016
- 卷：142
- 期：Complete
- 页码：9-18
- 全文大小：1435 K
文摘
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A comparison of scalar removal from a street canyon using 2 LES SGS models is made.
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The SGS model with stochastic backscatter increases the exchange velocity by ∼15%.
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This is shown to be in better agreement with a wind-tunnel dataset.
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Consequently, mean canyon concentration is ∼15% lower with the backscatter model.