Simulation of tsunami induced by a submarine landslide in a glaciomarine margin: the case of Storfjorden LS-1 (southwestern 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 L-ML-HySEA (Landslide Mul...
Published in: | Natural Hazards and Earth System Sciences |
---|---|
Main Authors: | , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2022
|
Subjects: | |
Online Access: | https://doi.org/10.5194/nhess-22-3839-2022 https://doaj.org/article/21defab8e8d34db283cccf9e19694478 |
id |
ftdoajarticles:oai:doaj.org/article:21defab8e8d34db283cccf9e19694478 |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:21defab8e8d34db283cccf9e19694478 2023-05-15T15:40:01+02:00 Simulation of tsunami induced by a submarine landslide in a glaciomarine margin: the case of Storfjorden LS-1 (southwestern Svalbard Islands) M. T. Pedrosa-González J. M. González-Vida J. Galindo-Záldivar S. Ortega M. J. Castro D. Casas G. Ercilla 2022-11-01T00:00:00Z https://doi.org/10.5194/nhess-22-3839-2022 https://doaj.org/article/21defab8e8d34db283cccf9e19694478 EN eng Copernicus Publications https://nhess.copernicus.org/articles/22/3839/2022/nhess-22-3839-2022.pdf https://doaj.org/toc/1561-8633 https://doaj.org/toc/1684-9981 doi:10.5194/nhess-22-3839-2022 1561-8633 1684-9981 https://doaj.org/article/21defab8e8d34db283cccf9e19694478 Natural Hazards and Earth System Sciences, Vol 22, Pp 3839-3858 (2022) Environmental technology. Sanitary engineering TD1-1066 Geography. Anthropology. Recreation G Environmental sciences GE1-350 Geology QE1-996.5 article 2022 ftdoajarticles https://doi.org/10.5194/nhess-22-3839-2022 2022-12-30T20:17:38Z 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 L-ML-HySEA (Landslide Multilayer Hyperbolic Systems and Efficient Algorithms) numerical model, including wave dispersion, to provide new insights into factors controlling the tsunami characteristics triggered by the Storfjorden LS-1 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 Storfjorden and Kveithola 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 of amplitude values (4.2 m in trough to 4.3 m in crest), amplification (3.7 m in trough to 4 m in crest) and diffraction of the tsunami waves, as well as influencing their coastal impact times. Article in Journal/Newspaper Bear Island Storfjorden Svalbard Spitsbergen Directory of Open Access Journals: DOAJ Articles Svalbard Bear Island ENVELOPE(-67.250,-67.250,-68.151,-68.151) Spitsbergen Bank ENVELOPE(23.000,23.000,76.000,76.000) Natural Hazards and Earth System Sciences 22 12 3839 3858 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental technology. Sanitary engineering TD1-1066 Geography. Anthropology. Recreation G Environmental sciences GE1-350 Geology QE1-996.5 |
spellingShingle |
Environmental technology. Sanitary engineering TD1-1066 Geography. Anthropology. Recreation G Environmental sciences GE1-350 Geology QE1-996.5 M. T. Pedrosa-González J. M. González-Vida J. Galindo-Záldivar S. Ortega M. J. Castro D. Casas G. Ercilla Simulation of tsunami induced by a submarine landslide in a glaciomarine margin: the case of Storfjorden LS-1 (southwestern Svalbard Islands) |
topic_facet |
Environmental technology. Sanitary engineering TD1-1066 Geography. Anthropology. Recreation G Environmental sciences GE1-350 Geology QE1-996.5 |
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 L-ML-HySEA (Landslide Multilayer Hyperbolic Systems and Efficient Algorithms) numerical model, including wave dispersion, to provide new insights into factors controlling the tsunami characteristics triggered by the Storfjorden LS-1 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 Storfjorden and Kveithola 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 of amplitude values (4.2 m in trough to 4.3 m in crest), amplification (3.7 m in trough to 4 m in crest) and diffraction of the tsunami waves, as well as influencing their coastal impact times. |
format |
Article in Journal/Newspaper |
author |
M. T. Pedrosa-González J. M. González-Vida J. Galindo-Záldivar S. Ortega M. J. Castro D. Casas G. Ercilla |
author_facet |
M. T. Pedrosa-González J. M. González-Vida J. Galindo-Záldivar S. Ortega M. J. Castro D. Casas G. Ercilla |
author_sort |
M. T. Pedrosa-González |
title |
Simulation of tsunami induced by a submarine landslide in a glaciomarine margin: the case of Storfjorden LS-1 (southwestern Svalbard Islands) |
title_short |
Simulation of tsunami induced by a submarine landslide in a glaciomarine margin: the case of Storfjorden LS-1 (southwestern Svalbard Islands) |
title_full |
Simulation of tsunami induced by a submarine landslide in a glaciomarine margin: the case of Storfjorden LS-1 (southwestern Svalbard Islands) |
title_fullStr |
Simulation of tsunami induced by a submarine landslide in a glaciomarine margin: the case of Storfjorden LS-1 (southwestern Svalbard Islands) |
title_full_unstemmed |
Simulation of tsunami induced by a submarine landslide in a glaciomarine margin: the case of Storfjorden LS-1 (southwestern Svalbard Islands) |
title_sort |
simulation of tsunami induced by a submarine landslide in a glaciomarine margin: the case of storfjorden ls-1 (southwestern svalbard islands) |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/nhess-22-3839-2022 https://doaj.org/article/21defab8e8d34db283cccf9e19694478 |
long_lat |
ENVELOPE(-67.250,-67.250,-68.151,-68.151) ENVELOPE(23.000,23.000,76.000,76.000) |
geographic |
Svalbard Bear Island Spitsbergen Bank |
geographic_facet |
Svalbard Bear Island Spitsbergen Bank |
genre |
Bear Island Storfjorden Svalbard Spitsbergen |
genre_facet |
Bear Island Storfjorden Svalbard Spitsbergen |
op_source |
Natural Hazards and Earth System Sciences, Vol 22, Pp 3839-3858 (2022) |
op_relation |
https://nhess.copernicus.org/articles/22/3839/2022/nhess-22-3839-2022.pdf https://doaj.org/toc/1561-8633 https://doaj.org/toc/1684-9981 doi:10.5194/nhess-22-3839-2022 1561-8633 1684-9981 https://doaj.org/article/21defab8e8d34db283cccf9e19694478 |
op_doi |
https://doi.org/10.5194/nhess-22-3839-2022 |
container_title |
Natural Hazards and Earth System Sciences |
container_volume |
22 |
container_issue |
12 |
container_start_page |
3839 |
op_container_end_page |
3858 |
_version_ |
1766372121181683712 |