Simulation of tsunami induced by a submarine landslide in a glaciomarine margin: the case of Storfjorden SL1 landslide (Southwestern of the Svalbard Islands)

A modelling approach to understand the tsunamigenic potentiality of submarine landslides will provide new perspectives on tsunami hazard threat, mostly in polar margins where global climatic change and its related ocean warming may induce future landslides. Here, we use the Landslide L-ML-HySEA nume...

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Main Authors: Pedrosa-González, María Teresa, González-Vida, José Manuel, Galindo-Záldivar, Jesús, Ortega, Sergio, Castro, Manuel Jesús, Casas, David, Ercilla, Gemma
Format: Text
Language:English
Published: 2022
Subjects:
Online Access:https://doi.org/10.5194/nhess-2022-117
https://nhess.copernicus.org/preprints/nhess-2022-117/
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spelling ftcopernicus:oai:publications.copernicus.org:nhessd102430 2023-05-15T15:40:01+02:00 Simulation of tsunami induced by a submarine landslide in a glaciomarine margin: the case of Storfjorden SL1 landslide (Southwestern of the Svalbard Islands) Pedrosa-González, María Teresa González-Vida, José Manuel Galindo-Záldivar, Jesús Ortega, Sergio Castro, Manuel Jesús Casas, David Ercilla, Gemma 2022-04-19 application/pdf https://doi.org/10.5194/nhess-2022-117 https://nhess.copernicus.org/preprints/nhess-2022-117/ eng eng doi:10.5194/nhess-2022-117 https://nhess.copernicus.org/preprints/nhess-2022-117/ eISSN: 1684-9981 Text 2022 ftcopernicus https://doi.org/10.5194/nhess-2022-117 2022-04-25T16:22:31Z A modelling approach to understand the tsunamigenic potentiality of submarine landslides will provide new perspectives on tsunami hazard threat, mostly in polar margins where global climatic change and its related ocean warming may induce future landslides. Here, we use the Landslide L-ML-HySEA numerical model, including wave dispersion, to provide new insights in factors controlling the tsunami characteristics triggered by the Storfjorden SL1 landslide (Southwestern Svalbard). Tsunami waves, determined mainly by the sliding mechanism and the bathymetry, consist of two initial wave dipoles, with troughs to the northeast (Spitsbergen and towards the continent) and crests to the south (seawards) and southwest (Bear Island), reaching more than 3 m of amplitude above the landslide, and finally merging into a single wave dipole. The tsunami wave propagation and its coastal impact are governed by the Kveithola and Storfjorden glacial troughs, and by the bordering Spitsbergen Bank, which shape the continental shelf. This local bathymetry controls the direction of propagation with a crescent shape front, in plan view, and is responsible for shoaling effects amplitude values (-4.2 to 4.3 m), amplification (-3.7 to 4 m), diffraction of the tsunami waves, as well as influencing their coastal impact times. Text Bear Island Storfjorden Svalbard Spitsbergen Copernicus Publications: E-Journals Bear Island ENVELOPE(-67.250,-67.250,-68.151,-68.151) Spitsbergen Bank ENVELOPE(23.000,23.000,76.000,76.000) Svalbard
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description A modelling approach to understand the tsunamigenic potentiality of submarine landslides will provide new perspectives on tsunami hazard threat, mostly in polar margins where global climatic change and its related ocean warming may induce future landslides. Here, we use the Landslide L-ML-HySEA numerical model, including wave dispersion, to provide new insights in factors controlling the tsunami characteristics triggered by the Storfjorden SL1 landslide (Southwestern Svalbard). Tsunami waves, determined mainly by the sliding mechanism and the bathymetry, consist of two initial wave dipoles, with troughs to the northeast (Spitsbergen and towards the continent) and crests to the south (seawards) and southwest (Bear Island), reaching more than 3 m of amplitude above the landslide, and finally merging into a single wave dipole. The tsunami wave propagation and its coastal impact are governed by the Kveithola and Storfjorden glacial troughs, and by the bordering Spitsbergen Bank, which shape the continental shelf. This local bathymetry controls the direction of propagation with a crescent shape front, in plan view, and is responsible for shoaling effects amplitude values (-4.2 to 4.3 m), amplification (-3.7 to 4 m), diffraction of the tsunami waves, as well as influencing their coastal impact times.
format Text
author Pedrosa-González, María Teresa
González-Vida, José Manuel
Galindo-Záldivar, Jesús
Ortega, Sergio
Castro, Manuel Jesús
Casas, David
Ercilla, Gemma
spellingShingle Pedrosa-González, María Teresa
González-Vida, José Manuel
Galindo-Záldivar, Jesús
Ortega, Sergio
Castro, Manuel Jesús
Casas, David
Ercilla, Gemma
Simulation of tsunami induced by a submarine landslide in a glaciomarine margin: the case of Storfjorden SL1 landslide (Southwestern of the Svalbard Islands)
author_facet Pedrosa-González, María Teresa
González-Vida, José Manuel
Galindo-Záldivar, Jesús
Ortega, Sergio
Castro, Manuel Jesús
Casas, David
Ercilla, Gemma
author_sort Pedrosa-González, María Teresa
title Simulation of tsunami induced by a submarine landslide in a glaciomarine margin: the case of Storfjorden SL1 landslide (Southwestern of the Svalbard Islands)
title_short Simulation of tsunami induced by a submarine landslide in a glaciomarine margin: the case of Storfjorden SL1 landslide (Southwestern of the Svalbard Islands)
title_full Simulation of tsunami induced by a submarine landslide in a glaciomarine margin: the case of Storfjorden SL1 landslide (Southwestern of the Svalbard Islands)
title_fullStr Simulation of tsunami induced by a submarine landslide in a glaciomarine margin: the case of Storfjorden SL1 landslide (Southwestern of the Svalbard Islands)
title_full_unstemmed Simulation of tsunami induced by a submarine landslide in a glaciomarine margin: the case of Storfjorden SL1 landslide (Southwestern of the Svalbard Islands)
title_sort simulation of tsunami induced by a submarine landslide in a glaciomarine margin: the case of storfjorden sl1 landslide (southwestern of the svalbard islands)
publishDate 2022
url https://doi.org/10.5194/nhess-2022-117
https://nhess.copernicus.org/preprints/nhess-2022-117/
long_lat ENVELOPE(-67.250,-67.250,-68.151,-68.151)
ENVELOPE(23.000,23.000,76.000,76.000)
geographic Bear Island
Spitsbergen Bank
Svalbard
geographic_facet Bear Island
Spitsbergen Bank
Svalbard
genre Bear Island
Storfjorden
Svalbard
Spitsbergen
genre_facet Bear Island
Storfjorden
Svalbard
Spitsbergen
op_source eISSN: 1684-9981
op_relation doi:10.5194/nhess-2022-117
https://nhess.copernicus.org/preprints/nhess-2022-117/
op_doi https://doi.org/10.5194/nhess-2022-117
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