A well-balanced positivity preserving cell-vertex finite volume method satisfying the discrete maximum-minimum principle for coupled models of surface water flow and scalar transport
Hasan Karjoun, Abdelaziz Beljadid, Philippe G. LeFloch

TL;DR
This paper introduces a new finite volume method on unstructured meshes that preserves positivity and well-balanced properties for coupled shallow water and scalar transport models, ensuring accurate and stable simulations.
Contribution
The paper presents a novel discretization technique that guarantees positivity, well-balancedness, and the discrete maximum-minimum principle for coupled water flow and pollutant transport models.
Findings
Preserves steady states of lakes at rest.
Guarantees positivity of water depth and scalar concentration.
Demonstrates accuracy and stability through numerical tests.
Abstract
We develop a new finite volume method using unstructured mesh-vertex grids for coupled systems modeling shallow water flows and solute transport over complex bottom topography. Novel well-balanced positivity preserving discretization techniques are proposed for the water surface elevation and the concentration of the pollutant. For the hydrodynamic system, the proposed scheme preserves the steady state of a lake at rest and the positivity of the water depth. For the scalar transport equation, the proposed method guarantees the positivity and a perfect balance of the scalar concentration. The constant-concentration states are preserved in space and time for any hydrodynamic field and complex topography in the absence of source terms of the passive pollutant. Importantly and this is one of the main features of our approach is that the novel reconstruction techniques proposed for the water…
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Taxonomy
TopicsComputational Fluid Dynamics and Aerodynamics · Meteorological Phenomena and Simulations · Advanced Numerical Methods in Computational Mathematics
