CEMay 20

High-order adaptive discontinuous finite elements for the shallow water equations with sub-grid irregular bathymetry

arXiv:2505.1874311.62 citationsh-index: 34
Predicted impact top 45% in CE · last 90 daysOriginality Incremental advance
AI Analysis

This work provides a robust numerical method for coastal engineers and scientists to simulate shallow water flows over complex, irregular bathymetry with high-order accuracy and adaptive meshes.

The paper presents a discontinuous finite element method for shallow water equations that handles high-resolution irregular bathymetry without regularity assumptions, achieving well-balanced, mass-conserving, and positivity-preserving properties under a mild CFL condition. The method is demonstrated on idealized and realistic benchmarks, showing robustness and potential for adaptive coastal flow simulations.

We present a discontinuous finite element method for the shallow water equations which exploits high-resolution realistic bathymetry data without any regularity assumption, also in the case of high-order discretizations. We prove a number of mathematical properties specific to the proposed method that is well-balanced, mass-conserving and positivity-preserving under a mild CFL condition also in the presence of wet-dry fronts. The method includes a consistent conservative discretization for passive tracers. We use a high-order Discontinuous Galerkin (DG) method as implemented in the deal.II library. This environment provides efficient and native parallelization techniques and automatically handles non-conforming meshes to implement adaptive strategies which are tested in a coastal environment. Idealized test cases show the robustness in presence of irregular bathymetries also with under-resolved features at the grid scale. A benchmark with realistic bathymetry and a complex domain shows the potential of the proposed discretization for adaptive simulations of coastal flows.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes