Articles | Volume 22, issue 12
https://doi.org/10.5194/nhess-22-3839-2022
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the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-22-3839-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Nov 2022
Research article |
| 30 Nov 2022
| 30 Nov 2022
Simulation of tsunami induced by a submarine landslide in a glaciomarine margin: the case of Storfjorden LS-1 (southwestern Svalbard Islands)
María Teresa Pedrosa-González
Departamento de Geodinámica, Universidad de Granada, 18071
Granada, Spain
José Manuel González-Vida
Departamento de Matemática Aplicada, Escuela de Ingenierías
Industriales, Universidad de Málaga, 29071 Málaga, Spain
Jesús Galindo-Záldivar
Departamento de Geodinámica, Universidad de Granada, 18071
Granada, Spain
Departamento de Geociencias Marinas, Instituto Andaluz de Ciencias de la Tierra, Consejo Superior de Investigaciones Científicas y Universidad de Granada (CSIC-UGR), 18100 Granada, Spain
Sergio Ortega
Departamento de Matemática Aplicada, Escuela de Ingenierías
Industriales, Universidad de Málaga, 29071 Málaga, Spain
Manuel Jesús Castro
Departamento de Análisis Matemático, Estadística e Investigación Operativa, y Matemática Aplicada, Facultad de Ciencias, Universidad de Málaga, 29071 Málaga, Spain
David Casas
Marine Geosciences, Institut de Ciències del Mar (ICM), Consejo Superior de Investigaciones Cientificas (CSIC), 08003 Barcelona, Spain
Gemma Ercilla
CORRESPONDING AUTHOR
Marine Geosciences, Institut de Ciències del Mar (ICM), Consejo Superior de Investigaciones Cientificas (CSIC), 08003 Barcelona, Spain
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Mattia de' Michieli Vitturi, Alessandro Tadini, Andrea Bevilacqua, Juan F. Rodríguez-Gálvez, Matteo Cerminara, Tomaso Esposti Ongaro, Augusto Neri, Matteo Trolese, Jorge Macías, Manuel J. Castro, Cipriano Escalante, Sergio Ortega, José M. González-Vida, and Stefano Lorito
EGUsphere, https://doi.org/10.5194/egusphere-2026-1602, https://doi.org/10.5194/egusphere-2026-1602, 2026
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
Short summary
Short summary
This study presents a Probabilistic Tsunami Hazard Assessment for Stromboli, Italy, quantifying long-term risks from landslide-generated tsunamis. By combining new simulation databases with expert-derived probabilities, it introduces a method to model hazard uncertainty. Results show significant risk to coastal areas over 50 years, with high probabilities of inundation exceeding 0.5 m and notable chances of severe impacts at key locations.
Alice Abbate, José M. González Vida, Manuel J. Castro Díaz, Fabrizio Romano, Hafize Başak Bayraktar, Andrey Babeyko, and Stefano Lorito
Nat. Hazards Earth Syst. Sci., 24, 2773–2791, https://doi.org/10.5194/nhess-24-2773-2024, https://doi.org/10.5194/nhess-24-2773-2024, 2024
Short summary
Short summary
Modelling tsunami generation due to a rapid submarine earthquake is a complex problem. Under a variety of realistic conditions in a subduction zone, we propose and test an efficient solution to this problem: a tool that can compute the generation of any potential tsunami in any ocean in the world. In the future, we will explore solutions that would also allow us to model tsunami generation by slower (time-dependent) seafloor displacement.
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Short summary
The L-ML-HySEA (Landslide Multilayer Hyperbolic Systems and Efficient Algorithms) model of the tsunami triggered by the Storfjorden LS-1 landslide provides new insights into the sliding mechanism and bathymetry controlling the propagation, amplitude values and shoaling effects as well as coastal impact times. This case study provides new perspectives on tsunami hazard assessment in polar margins, where global climatic change and its related ocean warming may contribute to landslide trigger.
The L-ML-HySEA (Landslide Multilayer Hyperbolic Systems and Efficient Algorithms) model of the...
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