Estimating maximum initial wave amplitude of subaerial landslide tsunamis: a three-dimensional modelling approach

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Abstract

Landslide tsunamis, responsible for thousands of deaths and significant damage in recent years, necessitate the allocation of sufficient time and resources for studying these extreme natural hazards. This study offers a step change in the field by conducting a large number of three-dimensional numerical experiments, validated by physical tests, to develop a predictive equation for the maximum initial amplitude of tsunamis generated by subaerial landslides. We first conducted a few 3D physical experiments in a wave basin which were then applied for the validation of a 3D numerical model based on the Flow3D-HYDRO package. Consequently, we delivered 100 simulations using the validated model by varying parameters such as landslide volume, water depth, slope angle and travel distance. This large database was subsequently employed to develop a predictive equation for the maximum initial tsunami amplitude. For the first time, we considered travel distance as an independent parameter for developing the predictive equation, which can significantly improve the predication accuracy. The predictive equation was tested for the case of the 2018 Anak Krakatau subaerial landslide tsunami and produced satisfactory results.
Original languageEnglish
Article number102360
Number of pages36
JournalOcean Modelling
Volume189
Early online date13 Mar 2024
DOIs
Publication statusPublished - 30 Jun 2024

Bibliographical note

Authors are sincerely grateful to the laboratory technician team, particularly Mr William Bazeley, at the Faculty of Engineering, University of Bath for their support during the laboratory physical modelling of this research. We appreciate the valuable insights provided by Mr. Brian Fox Senior CFD Engineer at Flow Science, Inc. regarding air entrainment modelling in FLOW-3D HYDRO.

Data Availability Statement

All data used in this study are given in the body of the article.

Funding

RS is supported by the Leverhulme Trust Grant No. RPG-2022-306. MH is funded by open funding of State Key Lab of Hydraulics and Mountain River Engineering, Sichuan University, grant number SKHL2101. We acknowledge University of Bath Institutional Open Access Fund.

FundersFunder number
The Leverhulme TrustRPG-2022-306
Sichuan UniversitySKHL2101

Keywords

  • FLOW-3D HYDRO
  • Numerical simulation
  • Physical modelling
  • Subaerial landslide
  • Tsunami

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Geotechnical Engineering and Engineering Geology
  • Oceanography
  • Atmospheric Science

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