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SLOW EIGENMODES OF THE SHALLOW-WATER EQUATIONS

Waves and Stability in Continuous Media, 2002
We present a survey of recent work on the lowest end of the eigenmode spectrum of the shallow water equations in a rotating reference frame. The results are complemented with numerical simulations of the fully nonlinear equations. Having care of using physically correct, mass-conserving boundary conditions, a description in terms of slow eigenmodes ...
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Shallow Water equations for Non-Newtonian fluids

Journal of Non-Newtonian Fluid Mechanics, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fernández-Nieto, Enrique D.   +2 more
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The shallow water equation

Abstract This chapter first presents a simple derivation of the shallow water equation. It then proposes an implicit (time) and centered (space) discretization and tests it in one dimension. The chapter then examines solutions to look at front steepening and testing the dependence of the wave velocity on the water column depth expected ...
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Derivation of the Shallow Water Equations

2020
This chapter presents a derivation of the shallow water equations, which describe flows where horizontal length-scales are much larger than the vertical. This occurs when hydrodynamic processes are small in comparison to gravity effects, and is therefore appropriate for tidal flows in channels where the tidal wavelength \(\lambda _w\) is greater than ...
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On a Shallow Water Equation Perturbed in Schwartz Class

Mathematical Physics, Analysis and Geometry, 2012
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Some numerical solutions of the shallow water equations

SUT Journal of Mathematics, 1994
The Taylor-Galerkin approximation of the second order is presented for numerical solutions to the shallow water equations. Two-step scheme is used in the time integration, and linear triangular finite elements are used in spatial discretization. The method is applied to the simulation of tidal current in the Osaka Bay and in the Ariake Bay.
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Equilibrium stability analysis of hyperbolic shallow water moment equations

Mathematical Methods in the Applied Sciences, 2022
Julian Köllermeier   +2 more
exaly  

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