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Probabilistic Tsunami Hazard Analysis: Multiple Sources and Global Applications

Authors :
Grezio, Anita
Babeyko, Andrey
Baptista, Maria Ana
Behrens, Jörn
Costa, Antonio
Davies, Gareth
Geist, Eric L.
Glimsdal, Sylfest
González, Frank I.
Griffin, Jonathan
Harbitz, Carl B.
Leveque, Randall J.
Lorito, Stefano
Løvholt, Finn
Omira, Rachid
Mueller, Christof
Paris, Raphael
Parsons, Tom
Polet, Jascha
Power, William
Selva, Jacopo
Sørensen, Mathilde B.
Thio, Hong Kie
Faculty of Earth and Life Sciences [Amsterdam] (FALW)
Vrije Universiteit Amsterdam [Amsterdam] (VU)
Hewlett-Packard Laboratories [Bristol]
Hewlett-Packard
University of Washington [Seattle]
Laboratoire Magmas et Volcans (LMV)
Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement et la société-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Physique du Globe de Clermont-Ferrand (OPGC)
Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut national des sciences de l'Univers (INSU - CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Université Jean Monnet [Saint-Étienne] (UJM)
Istituto Nazionale di Geofisica e Vulcanologia - Sezione di Bologna (INGV)
Istituto Nazionale di Geofisica e Vulcanologia
Department of Earth Science [Bergen] (UiB)
University of Bergen (UiB)
URS Corporation
Institut national des sciences de l'Univers (INSU - CNRS)-Université Jean Monnet - Saint-Étienne (UJM)-Institut de Recherche pour le Développement et la société-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS)-Observatoire de Physique du Globe de Clermont-Ferrand (OPGC)
Institut national des sciences de l'Univers (INSU - CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS)
Grezio, A.
Babeyko, A.
Baptista, M. A.
Behrens, J.
Costa, A.
Davies, G.
Geist, E. L.
Glimsdal, S.
Gonzalez, F. I.
Griffin, J.
Harbitz, C. B.
Leveque, R. J.
Lorito, S.
Lovholt, F.
Omira, R.
Mueller, C.
Paris, R.
Parsons, T.
Polet, J.
Power, W.
Selva, J.
Sorensen, M. B.
Thio, H. K.
Source :
Reviews of Geophysics, Reviews of Geophysics, American Geophysical Union, 2017, ⟨10.1002/2017RG000579⟩, Reviews of Geophysics, 2017, ⟨10.1002/2017RG000579⟩
Publication Year :
2017

Abstract

International audience; Applying probabilistic methods to infrequent but devastating natural events is intrinsicallychallenging. For tsunami analyses, a suite of geophysical assessments should be in principle evaluatedbecause of the different causes generating tsunamis (earthquakes, landslides, volcanic activity,meteorological events, and asteroid impacts) with varying mean recurrence rates. Probabilistic TsunamiHazard Analyses (PTHAs) are conducted in different areas of the world at global, regional, and local scaleswith the aim of understanding tsunami hazard to inform tsunami risk reduction activities. PTHAs enhanceknowledge of the potential tsunamigenic threat by estimating the probability of exceeding specificlevels of tsunami intensity metrics (e.g., run-up or maximum inundation heights) within a certain period oftime (exposure time) at given locations (target sites); these estimates can be summarized in hazard mapsor hazard curves. This discussion presents a broad overview of PTHA, including (i) sources and mechanismsof tsunami generation, emphasizing the variety and complexity of the tsunami sources and their generationmechanisms, (ii) developments in modeling the propagation and impact of tsunami waves, and (iii)statistical procedures for tsunami hazard estimates that include the associated epistemic and aleatoricuncertainties. Key elements in understanding the potential tsunami hazard are discussed, in light of therapid development of PTHA methods during the last decade and the globally distributed applications,including the importance of considering multiple sources, their relative intensities, probabilities ofoccurrence, and uncertainties in an integrated and consistent probabilistic framework.

Details

Language :
English
ISSN :
87551209
Database :
OpenAIRE
Journal :
Reviews of Geophysics, Reviews of Geophysics, American Geophysical Union, 2017, ⟨10.1002/2017RG000579⟩, Reviews of Geophysics, 2017, ⟨10.1002/2017RG000579⟩
Accession number :
edsair.dedup.wf.001..a7cdaa636909167475501365fbd8ceb9
Full Text :
https://doi.org/10.1002/2017RG000579⟩