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A weighted surface-depth gradient method for the numerical integration of the 2D shallow water equations with topography

机译:二维浅水方程与地形数值积分的加权表面深度梯度法

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摘要

A finite volume MUSCL scheme for the numerical integration of 2D shallow water equations is presented. In the framework of the SLIC scheme, the proposed weighted surface-depth gradient method (WSDGM) computes intercell water depths through a weighted average of DGM and SGM reconstructions, in which the weight function depends on the local Froude number. This combination makes the scheme capable of performing a robust tracking of wet/dry fronts and, together with an unsplit centered discretization of the bed slope source term, of maintaining the static condition on non-flat topographies [C-property). A correction of the numerical fluxes in the computational cells with water depth smaller than a fixed tolerance enables a drastic reduction of the mass error in the presence of wetting and drying fronts. The effectiveness and robustness of the proposed scheme are assessed by comparing numerical results with analytical and reference solutions of a set of test cases. Moreover, to show the capability of the numerical model on field-scale applications, the results of a dam-break scenario are presented.
机译:提出了二维二维浅水方程数值积分的有限体积MUSCL格式。在SLIC方案的框架中,建议的加权表面深度梯度法(WSDGM)通过DGM和SGM重构的加权平均值计算小区间水深,其中权重函数取决于局部Froude数。这种组合使该方案能够对湿/干锋面进行稳健的跟踪,并且与床坡度源项的未拆分中心离散化一起,能够在非平坦地形[C-property]上保持静态状态。对水深小于固定公差的计算单元中的数字通量进行校正,可以在存在湿润和干燥前沿的情况下大幅降低质量误差。通过将数值结果与一组测试案例的分析和参考解决方案进行比较,来评估所提出方案的有效性和鲁棒性。此外,为了显示数值模型在现场规模应用中的功能,还提出了溃坝方案的结果。

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