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 language | English |
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Article number | 102360 |
Number of pages | 36 |
Journal | Ocean Modelling |
Volume | 189 |
Early online date | 13 Mar 2024 |
DOIs | |
Publication status | Published - 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.
Funders | Funder number |
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The Leverhulme Trust | RPG-2022-306 |
Sichuan University | SKHL2101 |
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