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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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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. |
format | Online Article Text |
id | pubmed-9546932 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT fuentesmauricio stochastictsunamimodelinginducedbykinematiccomplexsources AT riquelmesebastian stochastictsunamimodelinginducedbykinematiccomplexsources |