Porosity Models for Large-Scale Urban Flood Modelling: A Review

Porosity Models for Large-Scale Urban Flood Modelling: A Review
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大规模城市洪水模拟的孔隙度模型:回顾

DOI:
10.3390/w13070960
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发表时间:
2021
期刊:
影响因子:
3.4
通讯作者:
P. Archambeau
P. Archambeau
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
B. Dewals;M. Bruwier;M. Pirotton;S. Erpicum;P. Archambeau

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在大尺度城市洪水建模中,孔隙度浅水模型在保留亚网格地形信息的同时,能够显著提高计算速度。在过去的二十年里,这些模型已经有了很大的改进,但是还没有一个被普遍接受的模型公式。相反,现有的模式在许多方面各不相同。一些研究在计算单元或单元界面的尺度上定义孔隙度参数,而另一些研究则将城市区域视为一个连续体,并引入统计定义的孔隙度参数。孔隙度参数被认为是各向同性或各向异性,与深度无关或与深度相关。底层流模型要么基于完整的浅水方程,要么基于近似的浅水方程,并带有各种流动阻力参数化。在这里,我们提供了迄今为止开发的孔隙度模型的频谱用于大规模城市洪水模拟。
In the context of large-scale urban flood modeling, porosity shallow-water models enable a considerable speed-up in computations while preserving information on subgrid topography. Over the last two decades, major improvements have been brought to these models, but a single generally accepted model formulation has not yet been reached. Instead, existing models vary in many respects. Some studies define porosity parameters at the scale of the computational cells or cell interfaces, while others treat the urban area as a continuum and introduce statistically defined porosity parameters. The porosity parameters are considered either isotropic or anisotropic and depth-independent or depth-dependent. The underlying flow models are based either on the full shallow-water equations or approximations thereof, with various flow resistance parameterizations. Here, we provide a review of the spectrum of porosity models developed so far for large-scale urban flood modeling.
DOI: 10.1016/j.jhydrol.2012.01.007
发表时间: 2012-03-21
影响因子: 6.4
作者:
Chen, Albert S.;Evans, Barry;Savic, Dragan A.
通讯作者: Savic, Dragan A.
DOI: 10.1016/j.jhydrol.2012.06.022
发表时间: 2012-11-12
影响因子: 6.4
作者:
Chen, Albert S.;Evans, Barry;Savic, Dragan A.
通讯作者: Savic, Dragan A.