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From granular collapses to shallow water waves: A predictive model for tsunami generation

Wladimir Sarlin1,*, Cyprien Morize1,†, Alban Sauret2, and Philippe Gondret1

  • 1Université Paris-Saclay, CNRS, Laboratoire FAST, F-91405 Orsay, France
  • 2Department of Mechanical Engineering, University of California, Santa Barbara, California 93106, USA

  • *wladimir.sarlin1@universite-paris-saclay.fr
  • †cyprien.morize@universite-paris-saclay.fr
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Phys. Rev. Fluids 7, 094801 – Published 13 September, 2022

DOI: https://doi.org/10.1103/PhysRevFluids.7.094801

Abstract

In this article, we present a predictive model for the amplitude of impulse waves generated by the collapse of a granular column into a water layer. The model, which combines the spreading dynamics of the grains and the wave hydrodynamics in shallow water, is successfully compared to a large dataset of laboratory experiments, and captures the influence of the initial parameters while giving an accurate prediction. Furthermore, the role played on the wave generation by two key dimensionless numbers, i.e., the global Froude number and the relative volume of the immersed deposit, is rationalized. These results provide a simplified, yet comprehensive, physical description of the generation of tsunami waves engendered by large-scale subaerial landslides, rockfalls, or cliff collapses in a shallow water.

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synopsis

Modeling Landslide-Induced Tsunamis

Published 13 September, 2022

A new model can accurately predict the height of waves created when a cliff collapses into water, allowing for a better evaluation of the threat the incident may pose to local people.

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Outline

Information

Phys. Rev. Fluids 7, 094801– Published 13 September, 2022
  • Received 11 March 2022
  • Accepted 29 July 2022
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