Integral formulation of shallow-water equations with anisotropic porosity for urban flood modeling

被引:171
作者
Sanders, Brett F. [1 ]
Schubert, Jochen E. [2 ]
Gallegos, Humberto A. [1 ]
机构
[1] Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA 92697 USA
[2] Univ Nottingham, IESSG, Nottingham NG7 2RD, England
关键词
Flood modeling; Finite volume method; Urban flooding; Porosity;
D O I
10.1016/j.jhydrol.2008.08.009
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
An integral form of the shallow-water equations suitable for urban flood modeling is derived by applying Reynolds transport theorem to a finite control volume encompassing buildings on a flood plain. The effect of buildings on storage and conveyance is modeled with a binary density function i(x,y) that equals unity when (x,y) corresponds to a void, and nit otherwise, and can be measured using remote sensing data such as classified aerial imagery; the effect of buildings on flow resistance is modeled with a drag formulation. Discrete equations are obtained by applying the integral equations to a computational cell and adopting a Godunov-type, piecewise linear distribution of flow variables. The discrete equations include a volumetric porosity theta that represents the integral of i over the cell, normalized by the cell area, and an areal porosity psi that represents the integral of i over an edge of the mesh, normalized by the edge length. The tatter is directionalty dependent which introduces anisotropy to the shallow-water equations and captures sub-grid preferential flow directions which occur in urban settings due to asymmetric building shapes and spacings and the alignment of buildings along streets. A important implication is that mode( predictions are necessarily grid dependent; therefore, a mesh design strategy is proposed. First- and second-order accurate numerical methods are presented to solve the discrete equations, and applications are shown for verification and validation purposes including the ability of the model to resolve preferential flow directions. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:19 / 38
页数:20
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