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Entropy stable hydrostatic reconstruction schemes for shallow water systems

Patrick Ersing, Sven Goldberg, Andrew R. Winters

Abstract

In this work, we develop a new hydrostatic reconstruction procedure to construct well-balanced schemes for one and multilayer shallow water flows, including wetting and drying. Initially, we derive the method for a path-conservative finite volume scheme and combine it with entropy conservative fluxes and suitable numerical dissipation to preserve an entropy inequality in the semi-discrete case. We then combine the novel hydrostatic reconstruction with a collocated nodal split-form discontinuous Galerkin spectral element method, extending the method to high-order and curvilinear meshes. The high-order method incorporates an additional positivity-limiter and is blended with a compatible subcell finite volume method to maintain well-balancedness at wet/dry fronts. We prove entropy stability, well-balancedness, and positivity-preservation for both methods. Numerical results for the high-order method validate the theoretical findings and demonstrate the robustness of the scheme.

Entropy stable hydrostatic reconstruction schemes for shallow water systems

Abstract

In this work, we develop a new hydrostatic reconstruction procedure to construct well-balanced schemes for one and multilayer shallow water flows, including wetting and drying. Initially, we derive the method for a path-conservative finite volume scheme and combine it with entropy conservative fluxes and suitable numerical dissipation to preserve an entropy inequality in the semi-discrete case. We then combine the novel hydrostatic reconstruction with a collocated nodal split-form discontinuous Galerkin spectral element method, extending the method to high-order and curvilinear meshes. The high-order method incorporates an additional positivity-limiter and is blended with a compatible subcell finite volume method to maintain well-balancedness at wet/dry fronts. We prove entropy stability, well-balancedness, and positivity-preservation for both methods. Numerical results for the high-order method validate the theoretical findings and demonstrate the robustness of the scheme.
Paper Structure (20 sections, 12 theorems, 103 equations, 10 figures, 1 table)

This paper contains 20 sections, 12 theorems, 103 equations, 10 figures, 1 table.

Key Result

Lemma 1

The hydrostatic reconstruction scheme eq:HR_scheme_with_vol_terms simplifies to as the volume integral of the nonconservative term vanishes for both SWE eq:system_swe and ML-SWE eq:system_multilayer, when the new hydrostatic reconstruction is used.

Figures (10)

  • Figure 1: Illustration of the multilayer shallow water system with four layer and bottom topography.
  • Figure 2: Illustration of bottom topography and layer heights before (a) and after the reconstruction procedure (b) at a wet/dry transition.
  • Figure 3: Illustration of the bottom topography reconstruction for the different configurations (a) wet, (b) dry and (c) partially dry
  • Figure 4: Spectral convergence results in space for the $L_2$-Error in quantities $h_1$, $h_2$ and $h_3$ over polynomial degree $N$ and $\Delta t=10^{-4}$
  • Figure 5: Initial condition and temporal evolution of the free surface for a two-layer system with perturbed lake-at-rest setup with $N=1$, $\text{CFL}=0.7$ on $100$ equidistant elements.
  • ...and 5 more figures

Theorems & Definitions (27)

  • Lemma 1
  • proof
  • Lemma 2: Well-balancedness
  • proof
  • Lemma 3: Well-balancedness ML-SWE
  • proof
  • remark 1
  • Lemma 4: Entropy conservation (SWE)
  • proof
  • Lemma 5: Entropy conservation (ML-SWE)
  • ...and 17 more