Year: 2025
Type: article
Abstract: SUMMARY Numerical models are a powerful tool for understanding and predicting the impact of landslide-generated tsunamis. We use here the HySEA code which incorporates a multilayer structure and non-hydrostatic pressure to simulate the tsunami generated by a potential submarine landslide located offshore of the Mayotte island. The island is surrounded by a lagoon and steep slopes weakened by the 2018 seismo-volcanic crisis. The influence of the input parameters and of the model assumptions is shown to change by a factor 2 the predicted maximum water free surface elevation, velocity and maximum inundation depth. This demonstrates the need of using numerical models for building local scaling laws to relate tsunami and landslide properties. Our results highlight the necessity of incorporating high-resolution bathymetry, in-depth variations through multilayer modeling and relevant landslide rheology to accurately predict tsunami impact. In case of strong topography variations as in Mayotte, using four layers seems to be a good compromise between accuracy and computational cost. Accounting for these effects would enable to refine hazard maps by identifying safe and high-risk coastal zones and to improve wave arrival time estimates, thus reducing tsunami-related risks in regions like Mayotte.
DOI: 10.1093/gji/ggaf232
Institutions: Centre National de la Recherche Scientifique, Institut de physique du globe de Paris, Université Paris Cité, Universidad de Málaga, Universidad de Sevilla, Université Paris-Est Créteil, Laboratoire de Géographie Physique, Université Paris 1 Panthéon-Sorbonne, Natural Resources Conservation Service, United States Department of Agriculture, Bureau de Recherches Géologiques et Minières, Norwegian Geotechnical Institute
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,416
Awards: G1175115578, G1190173965, G1323502114, G1622782223, G1920163720, G210041235, G2262748287, G2601397997, Risques sismo-volcaniques, tsunamis et hydro-climatiques en OutreMer et zones intertropicales, G2863668859, G300979063, G3351369298, G34346518, G3480869486, G3681454997, G4042783231, G410571670, G425668148, G451917667, G4656594441, G5080475149, G5195188938, G5539308778, G5926716483, G5967599077, G6432290081, A Digital Twin for GEOphysical extremes, G7084143925, G7240651115, G7830109783, G8082311658, G8118709007, G82165036, Université de Paris, Earth - Planets - Universe: observation, modeling, transfer, G8930446, G929308097
OpenAlex ID: W4411715257