Comparison of landslide tsunami models and exploration of fields of application

After earthquakes, landslides are the second cause for tsunami generation. A proper understanding is required to prevent future disaster or to develop early warnings.This can be achieved through physical models in laboratory or numerical models. In the last category, several models exist and can pro...

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Main Author: Paris, Alexandre
Other Authors: Laboratoire des Sciences de l'Ingénieur Appliquées à la Mécanique et au génie Electrique (SIAME), Université de Pau et des Pays de l'Adour (UPPA), Université de Pau et des Pays de l'Adour, Stéphane Abadie, Philippe Heinrich
Format: Doctoral or Postdoctoral Thesis
Language:English
Published: HAL CCSD 2021
Subjects:
Online Access:https://theses.hal.science/tel-03485176
https://theses.hal.science/tel-03485176/document
https://theses.hal.science/tel-03485176/file/thesisparis.pdf
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spelling ftunivpau:oai:HAL:tel-03485176v1 2023-12-10T09:49:15+01:00 Comparison of landslide tsunami models and exploration of fields of application Comparaison de modèles de tsunamis générés par glissements de terrain et exploration des champs d'application Paris, Alexandre Laboratoire des Sciences de l'Ingénieur Appliquées à la Mécanique et au génie Electrique (SIAME) Université de Pau et des Pays de l'Adour (UPPA) Université de Pau et des Pays de l'Adour Stéphane Abadie Philippe Heinrich 2021-09-13 https://theses.hal.science/tel-03485176 https://theses.hal.science/tel-03485176/document https://theses.hal.science/tel-03485176/file/thesisparis.pdf en eng HAL CCSD NNT: 2021PAUU3027 tel-03485176 https://theses.hal.science/tel-03485176 https://theses.hal.science/tel-03485176/document https://theses.hal.science/tel-03485176/file/thesisparis.pdf info:eu-repo/semantics/OpenAccess https://theses.hal.science/tel-03485176 Earth Sciences. Université de Pau et des Pays de l'Adour, 2021. English. ⟨NNT : 2021PAUU3027⟩ Tsunami Numerical modeling Landslides Simulations numériques Glissements de terrain [SDU.STU]Sciences of the Universe [physics]/Earth Sciences info:eu-repo/semantics/doctoralThesis Theses 2021 ftunivpau 2023-11-15T17:24:34Z After earthquakes, landslides are the second cause for tsunami generation. A proper understanding is required to prevent future disaster or to develop early warnings.This can be achieved through physical models in laboratory or numerical models. In the last category, several models exist and can provide very similar results for a case study. Among them, depth-averaged models using for example shallow water or Boussinesq equations, can be opposed to Navier-Stokes models. The main objective of this PhD thesis is to compare these two modeling strategies with two specific models, a depth-averaged model, AVALANCHE, and a Navier-Stokes model, OpenFOAM. First, two benchmarks (a subaerial and submerged one) are used to calibrate the models. This highlighted that both models could reproduce the experimental data and that several combinations of parameters led to similar results. Second, sensitivity studies are carried out to evaluate the influence of the initial landslide position and the slope angle and to observe the behavior of the different equations (shallow water, Boussinesq or Navier-Stokes) during the wave generation and propagation phases. Finally, both models are applied to two real cases, the June 17, 2017, Karrat Fjord, Greenland, landslide and tsunami, and the December 22, 2018, Anak Krakatau, Indonesia, collapse and tsunami, and are intercompared. Les effondrements gravitaires sont la deuxième cause de génération de tsunamis après les séismes. Il est important de bien les comprendre afin de prévenir de futures catastrophes ou de développer les systèmes d’alerte. Pour cela, des modèles analogiques, en laboratoire, ou numériques sont utilisés. Dans la deuxième catégorie, de nombreux modèles existent et peuvent produire des résultats similaires pour un cas donné. Parmi eux, les modèles intégrés sur la profondeur qui utilisent par exemple les équations de type shallow water ou de Boussinesq, peuvent être opposés aux modèles Navier-Stokes. L’objectif de cette thèse est de comparer ces deux stratégies à l’aide ... Doctoral or Postdoctoral Thesis Greenland HAL e2s UPPA (Université de Pau et des Pays de l'Adour) Greenland Karrat Fjord ENVELOPE(-53.667,-53.667,71.383,71.383)
institution Open Polar
collection HAL e2s UPPA (Université de Pau et des Pays de l'Adour)
op_collection_id ftunivpau
language English
topic Tsunami
Numerical modeling
Landslides
Simulations numériques
Glissements de terrain
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences
spellingShingle Tsunami
Numerical modeling
Landslides
Simulations numériques
Glissements de terrain
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences
Paris, Alexandre
Comparison of landslide tsunami models and exploration of fields of application
topic_facet Tsunami
Numerical modeling
Landslides
Simulations numériques
Glissements de terrain
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences
description After earthquakes, landslides are the second cause for tsunami generation. A proper understanding is required to prevent future disaster or to develop early warnings.This can be achieved through physical models in laboratory or numerical models. In the last category, several models exist and can provide very similar results for a case study. Among them, depth-averaged models using for example shallow water or Boussinesq equations, can be opposed to Navier-Stokes models. The main objective of this PhD thesis is to compare these two modeling strategies with two specific models, a depth-averaged model, AVALANCHE, and a Navier-Stokes model, OpenFOAM. First, two benchmarks (a subaerial and submerged one) are used to calibrate the models. This highlighted that both models could reproduce the experimental data and that several combinations of parameters led to similar results. Second, sensitivity studies are carried out to evaluate the influence of the initial landslide position and the slope angle and to observe the behavior of the different equations (shallow water, Boussinesq or Navier-Stokes) during the wave generation and propagation phases. Finally, both models are applied to two real cases, the June 17, 2017, Karrat Fjord, Greenland, landslide and tsunami, and the December 22, 2018, Anak Krakatau, Indonesia, collapse and tsunami, and are intercompared. Les effondrements gravitaires sont la deuxième cause de génération de tsunamis après les séismes. Il est important de bien les comprendre afin de prévenir de futures catastrophes ou de développer les systèmes d’alerte. Pour cela, des modèles analogiques, en laboratoire, ou numériques sont utilisés. Dans la deuxième catégorie, de nombreux modèles existent et peuvent produire des résultats similaires pour un cas donné. Parmi eux, les modèles intégrés sur la profondeur qui utilisent par exemple les équations de type shallow water ou de Boussinesq, peuvent être opposés aux modèles Navier-Stokes. L’objectif de cette thèse est de comparer ces deux stratégies à l’aide ...
author2 Laboratoire des Sciences de l'Ingénieur Appliquées à la Mécanique et au génie Electrique (SIAME)
Université de Pau et des Pays de l'Adour (UPPA)
Université de Pau et des Pays de l'Adour
Stéphane Abadie
Philippe Heinrich
format Doctoral or Postdoctoral Thesis
author Paris, Alexandre
author_facet Paris, Alexandre
author_sort Paris, Alexandre
title Comparison of landslide tsunami models and exploration of fields of application
title_short Comparison of landslide tsunami models and exploration of fields of application
title_full Comparison of landslide tsunami models and exploration of fields of application
title_fullStr Comparison of landslide tsunami models and exploration of fields of application
title_full_unstemmed Comparison of landslide tsunami models and exploration of fields of application
title_sort comparison of landslide tsunami models and exploration of fields of application
publisher HAL CCSD
publishDate 2021
url https://theses.hal.science/tel-03485176
https://theses.hal.science/tel-03485176/document
https://theses.hal.science/tel-03485176/file/thesisparis.pdf
long_lat ENVELOPE(-53.667,-53.667,71.383,71.383)
geographic Greenland
Karrat Fjord
geographic_facet Greenland
Karrat Fjord
genre Greenland
genre_facet Greenland
op_source https://theses.hal.science/tel-03485176
Earth Sciences. Université de Pau et des Pays de l'Adour, 2021. English. ⟨NNT : 2021PAUU3027⟩
op_relation NNT: 2021PAUU3027
tel-03485176
https://theses.hal.science/tel-03485176
https://theses.hal.science/tel-03485176/document
https://theses.hal.science/tel-03485176/file/thesisparis.pdf
op_rights info:eu-repo/semantics/OpenAccess
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