A Schr\"odinger-Based Dispersive Regularization Approach for Numerical Simulation of One-Dimensional Shallow Water Equations
Guosheng Fu, Chun Liu

TL;DR
This paper introduces a dispersive regularization method for simulating 1D shallow water equations by transforming them into a Schr"odinger equation, enabling efficient and robust numerical solutions especially with dry states.
Contribution
The authors develop a novel Schr"odinger-based regularization framework that simplifies the numerical simulation of shallow water equations, particularly handling dry states effectively.
Findings
Achieves $O(\varepsilon)$ approximation in subcritical regimes.
Maintains convergence even with moving wetting-drying interfaces.
Offers a robust alternative to traditional shallow water solvers.
Abstract
We propose a novel dispersive regularization framework for the numerical simulation of the one-dimensional shallow water equations (SWE). The classical hyperbolic system is regularized by a third-order dispersive term in the momentum equation, which renders the system equivalent, via the Madelung transform, to a defocusing cubic nonlinear Schr\"odinger equation with a drift term induced by bottom topography. Instead of solving the shallow water equations directly, we solve the associated Schr\"odinger equation and recover the hydrodynamic variables through a simple postprocessing procedure. This approach transforms the original nonlinear hyperbolic system into a semilinear complex-valued equation, which can be efficiently approximated using a Strang time-splitting method combined with a spectral element discretization in space. Numerical experiments demonstrate that, in subcritical…
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Taxonomy
TopicsComputational Fluid Dynamics and Aerodynamics · Navier-Stokes equation solutions · Advanced Numerical Methods in Computational Mathematics
