论文标题

二阶不连续的Galerkin洪水模型:与行业标准有限量模型进行比较

Second-order discontinuous Galerkin flood model: comparison with industry-standard finite volume models

论文作者

Ayog, Janice Lynn, Kesserwani, Georges, Shaw, James, Sharifian, Mohammad Kazem, Bau, Domenico

论文摘要

二维浅水方程的有限体积(FV)数值求解器是行业标准洪水模型的核心。二阶不连续的Galerkin(DG2)替代方案,尽管可以改善当前基于FV的洪水模型的可行途径,但尚未研究,很少用于支持洪水建模应用程序。本文系统地探讨并比较了强大的DG2洪水模型与基于FV的突出工业洪水模型的预测性能。为了确定适用于洪水淹没建模的最简单,最有效的DG2配置,考虑到两个具有和不局部坡度限制的变体。将DG2变体的数值保护特性与一阶FV(FV1)和二阶FV(FV2)对应物的数字保护属性进行了比较。然后,在英国环境局建议验证2D洪水模型功能的五个现实洪水场景中对DG2变体进行测试,同时将它们的性能与四种基于FV的商业模型(即Tuflow-FV1,Tuflow-FV2,Tuflow-HPC,Tuflow-HPC和Infororks ICM)进行比较。结果表明,没有局部限制的DG2变体(DG2-NL)能够模拟在广泛的洪水建模应用中所特征的无震洪水。 DG2-NL显示了两次以两次空间分辨率的商业模型输出的预测,并且即使采样远离洪水源,也可以更快地运行两次的空间分辨率。

Finite volume (FV) numerical solvers of the two-dimensional shallow water equations are core to industry-standard flood models. The second-order Discontinuous Galerkin (DG2) alternative, although a viable way forward to improve current FV-based flood models, is yet under-studied and rarely used to support flood modelling applications. This paper systematically explores and compares the predictive properties of a robust DG2 flood model to those of prominent FV-based industrial flood models. To identify the simplest and most efficient DG2 configuration suitable for flood inundation modelling, two variants - with and without local slope limiting - are considered. The numerical conservation properties of the DG2 variants are compared to those of a first-order FV (FV1) and a second-order FV (FV2) counterparts. The DG2 variants are then tested over five realistic flooding scenarios, recommended by the UK Environment Agency to validate 2D flood model capabilities, while comparing their performance against that of four FV-based commercial models (i.e. TUFLOW-FV1, TUFLOW-FV2, TUFLOW-HPC and Infoworks ICM). Results reveal that the DG2 variant without local limiting (DG2-NL) is capable to simulate shockless flood flows featured in a wide range of flood modelling applications. The DG2-NL shows closer predictions to commercial model outputs at twice-coarser spatial resolution, and can run twice faster to produce more informative hydrograph with small-scale transients over long-range simulations, even when the sampling is far away from the flooding source.

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