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Stochastic tsunami modeling induced by kinematic complex sources

In this study, local tsunami hazard due to seismic sources is evaluated in a stochastic framework. Several assumptions such as static passive generation, constant rake angle and source centroid (among others) are relaxed. Spatial uncertainties are modeled in a large set of scenarios. The proposed me...

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Autores principales: Fuentes, Mauricio, Riquelme, Sebastián
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546932/
https://www.ncbi.nlm.nih.gov/pubmed/36207372
http://dx.doi.org/10.1038/s41598-022-21336-8
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author Fuentes, Mauricio
Riquelme, Sebastián
author_facet Fuentes, Mauricio
Riquelme, Sebastián
author_sort Fuentes, Mauricio
collection PubMed
description In this study, local tsunami hazard due to seismic sources is evaluated in a stochastic framework. Several assumptions such as static passive generation, constant rake angle and source centroid (among others) are relaxed. Spatial uncertainties are modeled in a large set of scenarios. The proposed methodology is easy to implement and can be combined with other types of sources or hazards. Application in the Kuril-Kamchatkah trench shows a straightforward use of our methodology, producing simple hazard maps, which can be replicated in any region of the world.
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spelling pubmed-95469322022-10-09 Stochastic tsunami modeling induced by kinematic complex sources Fuentes, Mauricio Riquelme, Sebastián Sci Rep Article In this study, local tsunami hazard due to seismic sources is evaluated in a stochastic framework. Several assumptions such as static passive generation, constant rake angle and source centroid (among others) are relaxed. Spatial uncertainties are modeled in a large set of scenarios. The proposed methodology is easy to implement and can be combined with other types of sources or hazards. Application in the Kuril-Kamchatkah trench shows a straightforward use of our methodology, producing simple hazard maps, which can be replicated in any region of the world. Nature Publishing Group UK 2022-10-07 /pmc/articles/PMC9546932/ /pubmed/36207372 http://dx.doi.org/10.1038/s41598-022-21336-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Fuentes, Mauricio
Riquelme, Sebastián
Stochastic tsunami modeling induced by kinematic complex sources
title Stochastic tsunami modeling induced by kinematic complex sources
title_full Stochastic tsunami modeling induced by kinematic complex sources
title_fullStr Stochastic tsunami modeling induced by kinematic complex sources
title_full_unstemmed Stochastic tsunami modeling induced by kinematic complex sources
title_short Stochastic tsunami modeling induced by kinematic complex sources
title_sort stochastic tsunami modeling induced by kinematic complex sources
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546932/
https://www.ncbi.nlm.nih.gov/pubmed/36207372
http://dx.doi.org/10.1038/s41598-022-21336-8
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