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Numerical solution of steady-state groundwater flow and solute transport problems: Discontinuous Galerkin based methods compared to the Streamline Diffusion approach

机译:稳态地下水流和溶质运移问题的数值解:基于不连续Galerkin的方法与流线扩散方法的比较

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In this study, we consider the simulation of subsurface flow and solute transport processes in the stationary limit. In the convection-dominant case, the numerical solution of the transport problem may exhibit non-physical diffusion and under- and overshoots. For a higher order symmetric interior penalty discontinuous Galerkin (DG) discretization, we present a novel approach for reducing numerical under- and overshoots near sharp fronts, that are not resolved by the mesh, using a diffusive L-2-projection. In the context of geostatistical inversion, where a small amount of oscillations is tolerated by a proper treatment of measurement errors, this may serve as an efficient alternative to adaptive mesh refinement. Furthermore, we realize a fast solver for the arising linear system by reordering the degrees of freedom in flow direction and exploiting the upwind character of the DG scheme. In 2-D and 3-D examples, we compare the DG-based method to the streamline diffusion approach with respect to computing time and their ability to resolve steep fronts. (C) 2015 Elsevier B.V. All rights reserved.
机译:在这项研究中,我们考虑了在固定极限条件下地下流动和溶质运移过程的模拟。在以对流为主的情况下,运输问题的数值解可能会表现出非物理扩散以及下冲和上冲。对于更高阶的对称内部罚分不连续伽勒金(DG)离散化,我们提出了一种新颖的方法,使用扩散L-2-投影来减少网格无法解决的锋利前沿附近的数值下冲和过冲。在地统计学反演的情况下,通过适当对待测量误差可以容忍少量振荡,这可以作为自适应网格细化的有效替代方法。此外,我们通过重新排列流向的自由度并利用DG方案的迎风特性,实现了对出现的线性系统的快速求解器。在2维和3维示例中,我们将基于DG的方法与流线扩散方法进行了比较,以计算时间及其解析陡峭前沿的能力。 (C)2015 Elsevier B.V.保留所有权利。

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