The VOLNA code for the numerical modeling of tsunami waves: Generation, propagation and inundation

A novel tool for tsunami wave modeling is presented. This tool has the potential of being used for operational purposes: indeed, the numerical code VOLNA is able to handle the complete life cycle of a tsunami (generation, propagation and run-up along the coast). The algorithm works on unstructured t...

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Bibliographic Details
Published in:European journal of mechanics, B, Fluids B, Fluids, 2011-11, Vol.30 (6), p.598-615
Main Authors: Dutykh, Denys, Poncet, Raphaël, Dias, Frédéric
Format: Article
Language:English
Subjects:
Algorithms
Analysis of PDEs
Computational Physics
Earth Sciences
Engineering Sciences
Environmental Sciences
Finite volumes
Fluid Dynamics
Fluid mechanics
Fluids mechanics
Geophysics
Global Changes
Hydrology
Inundation
Mathematical analysis
Mathematical models
Mathematics
Mechanics
Numerical Analysis
Ocean, Atmosphere
Oceanography
Physics
Reactive fluid environment
Run-down
Run-up
Sciences of the Universe
Shallow water equations
Tsunami generation
Tsunami waves
Tsunamis
Wave propagation
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Summary:A novel tool for tsunami wave modeling is presented. This tool has the potential of being used for operational purposes: indeed, the numerical code VOLNA is able to handle the complete life cycle of a tsunami (generation, propagation and run-up along the coast). The algorithm works on unstructured triangular meshes and thus can be run in arbitrary complex domains. This paper contains a detailed description of the finite volume scheme implemented in the code. The numerical treatment of the wet/dry transition is explained. This point is crucial for accurate run-up/run-down computations. The majority of tsunami codes use semi-empirical techniques at this stage, which are not always sufficient for tsunami hazard mitigation. Indeed the decision to evacuate inhabitants is based on inundation maps, which are produced with these types of numerical tools. We present several realistic test cases that partially validate our algorithm. Comparisons with analytical solutions and experimental data are performed. Finally, the main conclusions are outlined and the perspectives for future research presented.
ISSN:0997-7546
1873-7390
DOI:10.1016/j.euromechflu.2011.05.005