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High-Resolution Methods and Adaptive Refinement for Tsunami Propagation and Inundation

In: Hyperbolic Problems: Theory, Numerics, Applications

Author

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  • D. L. George

    (University of Utah, Department of Mathematics)

  • R. J. LeVeque

    (University of Washington, Department of Applied Mathematics)

Abstract

We describe the extension of high-resolution finite volume methods and adaptive refinement for the shallow water equations in the context of tsunami modeling. Godunov-type methods have been used extensively for modeling the shallow water equations in many contexts; however, tsunami modeling presents some unique challenges that must be overcome. We describe some of the specific difficulties associated with tsunami modeling, and summarize some numerical approaches that we have used to overcome these challenges. For instance, we have developed a wellbalanced Riemann solver that is appropriate in the deep ocean regime as well as robust in near-shore and dry regions. Additionally, we have extended adaptive refinement algorithms to this application. We briefly describe some of the modifications necessary for using these adaptive methods for tsunami modeling.

Suggested Citation

  • D. L. George & R. J. LeVeque, 2008. "High-Resolution Methods and Adaptive Refinement for Tsunami Propagation and Inundation," Springer Books, in: Sylvie Benzoni-Gavage & Denis Serre (ed.), Hyperbolic Problems: Theory, Numerics, Applications, pages 541-549, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-75712-2_52
    DOI: 10.1007/978-3-540-75712-2_52
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