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| Título: | On the Inference of Tsunami Uncertainties From Landslide Run-Out Observations |
Autor: | Zengaffinen, Thomas; Urgeles, Roger CSIC ORCID ; Løvholt, Finn | Fecha de publicación: | abr-2022 | Editor: | American Geophysical Union | Citación: | Journal of Geophysical Research - Part C - Oceans 127(4): e2021JC018033 (2022) | Resumen: | Probabilistic tsunami hazard analysis (PTHA) due to submarine landslides is much less developed than PTHA for earthquake sources. This is partly because of less constrained data available for quantifying source probability, and partly because of the lack of knowledge related to the tsunami generation process due to landslide dynamics. This study provides a basis for estimating the uncertainty related to landslide dynamics for PTHA from submarine landslides based on a new landslide database in the Gulf of Cadiz. The establishment of this new database is described herein. We use submarine landslide run-out statistics from this database to calibrate landslide parameters and related uncertainties employing the cohesive landslide model BingClaw. In turn, coupling the landslide motion to tsunami genesis is performed in order to characterize the inferred tsunami uncertainties. Important parameters that can explain the large tsunami uncertainties are the initial water depth of the landslide, the slope, the landslide volume, and the initial yield strength of the landslide material. Kinematic properties such as the initial landslide acceleration or the Froude number are found to strongly correlate with the tsunami-genesis. In this study, we show how matching numerical landslide models with observed run-out from past events in the field can give information about the uncertainty in their tsunami-genic strength. This can in turn be applied in future PTHA for spanning uncertainty ranges due to the landslide dynamics on tsunami-genesis, constrained by landslide run-out data | Descripción: | 30 pages, 19 figures, 1 table.-- Data Availability Statement: The following key data set are used and made available in this paper: The new landslide database covering the Gulf of Cadiz is available through the following repository (Urgeles et al., 2021). The main outputs from the simulation, that is, those displayed in in Figures 9-12 and 14-19 are available through (Zengaffinen-Morris, 2022). The landslide model BingClaw has been published previously in the AGU journal Geophysical Research Letters, with the availability statement given in (Løvholt et al., 2017). Please note that the entire data set resulting from the model simulations, exceed 1 TB and is hence too large to place in a public repository. Hence, only the main outputs from the simulations are made available here | Versión del editor: | https://doi.org/10.1029/2021JC018033 | URI: | http://hdl.handle.net/10261/270178 | DOI: | 10.1029/2021JC018033 | E-ISSN: | 2169-9291 |
| Aparece en las colecciones: | (ICM) Artículos |
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| Zengaffinen_et_al_2022.pdf | 4,45 MB | Adobe PDF |  Visualizar/Abrir |
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