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Tsunamis from source to coast

Bibliographic Details
Main Author: Wronna, Martin
Publication Date: 2021
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10451/53691
Summary: Tsunami disasters pose a significant threat to coastal communities. In the last decades, tsunamis caused enormous destruction and exceeding 250000 fatalities. International efforts led to sig-nificant advances in tsunami science and research, but recent events demonstrated some limi-tations. Thus, it is essential to increase our knowledge of the source to coast tsunami phenom-enon. A better understanding of potential tectonic structures and other generation mechanisms is needed, especially in complex geologic domains or where sources are unknown. Furthermore, we need to improve Tsunami Warning Systems (TWSs) to provide timely alerts for communi-ties in the near field. Therefore, potential tsunamigenic sources in the diffuse plate boundary setting and the near field of the southwest Iberian margin (SWIM) are investigated. For the March 31, 1761, trans-atlantic tsunami, numerical modelling has been used to propose a structure that agrees with tsunami travel times, tsunami observations, macroseismic data, and kinematic plate modelling. Since there exists a description of a tsunami for the November 11, 1858, Sétubal earthquake, its source has been investigated using macroseismic analysis. The analysis suggests a local structure in a compressive regime with weak to moderate tsunamigenic potential. Future tsu-nami hazard assessments need to include the sources of the investigated events. To quickly estimate the tsunami impact, the Tsunami Runup Predictor (TRP), an empirical source-to-coast method to instantly provide first-order estimates of the tsunami runup based on waveform parameters has been developed. The TRP is helpful for emergency managers and evacuation planning for near-field events. Moreover, the author of this thesis contributed to the tsunami impact assessment of September 28, 2018, Palu tsunami, where tsunamis generated by multiple sources caused runup heights up to 9.2 m. However, for local sources, tsunami warning remains challenging; thus, communities need to be prepared how to respond appropriately to earthquakes and tsunamis with or without warning.
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spelling Tsunamis from source to coastCaracterização de perigo de tsunamiSistemas de alerta de tsunamiCálculo analítico de tsunami runupModelo de equações de águas pouco profundas não-linearesEstimativas rápidas do tsunami runupTsunami hazardTsunami early warning systemsAnalytical runup computationAnalytical runup computationRapid tsunami runup estimationDomínio/Área Científica::Ciências Naturais::Ciências da Terra e do AmbienteTsunami disasters pose a significant threat to coastal communities. In the last decades, tsunamis caused enormous destruction and exceeding 250000 fatalities. International efforts led to sig-nificant advances in tsunami science and research, but recent events demonstrated some limi-tations. Thus, it is essential to increase our knowledge of the source to coast tsunami phenom-enon. A better understanding of potential tectonic structures and other generation mechanisms is needed, especially in complex geologic domains or where sources are unknown. Furthermore, we need to improve Tsunami Warning Systems (TWSs) to provide timely alerts for communi-ties in the near field. Therefore, potential tsunamigenic sources in the diffuse plate boundary setting and the near field of the southwest Iberian margin (SWIM) are investigated. For the March 31, 1761, trans-atlantic tsunami, numerical modelling has been used to propose a structure that agrees with tsunami travel times, tsunami observations, macroseismic data, and kinematic plate modelling. Since there exists a description of a tsunami for the November 11, 1858, Sétubal earthquake, its source has been investigated using macroseismic analysis. The analysis suggests a local structure in a compressive regime with weak to moderate tsunamigenic potential. Future tsu-nami hazard assessments need to include the sources of the investigated events. To quickly estimate the tsunami impact, the Tsunami Runup Predictor (TRP), an empirical source-to-coast method to instantly provide first-order estimates of the tsunami runup based on waveform parameters has been developed. The TRP is helpful for emergency managers and evacuation planning for near-field events. Moreover, the author of this thesis contributed to the tsunami impact assessment of September 28, 2018, Palu tsunami, where tsunamis generated by multiple sources caused runup heights up to 9.2 m. However, for local sources, tsunami warning remains challenging; thus, communities need to be prepared how to respond appropriately to earthquakes and tsunamis with or without warning.Baptista, Maria AnaKânoğlu, UtkuRepositório da Universidade de LisboaWronna, Martin2022-07-06T11:39:02Z2022-022021-122022-02-01T00:00:00Zdoctoral thesisinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10451/53691TID:101579586enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-17T14:47:15Zoai:repositorio.ulisboa.pt:10451/53691Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T03:24:52.152591Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Tsunamis from source to coast
title Tsunamis from source to coast
spellingShingle Tsunamis from source to coast
Wronna, Martin
Caracterização de perigo de tsunami
Sistemas de alerta de tsunami
Cálculo analítico de tsunami runup
Modelo de equações de águas pouco profundas não-lineares
Estimativas rápidas do tsunami runup
Tsunami hazard
Tsunami early warning systems
Analytical runup computation
Analytical runup computation
Rapid tsunami runup estimation
Domínio/Área Científica::Ciências Naturais::Ciências da Terra e do Ambiente
title_short Tsunamis from source to coast
title_full Tsunamis from source to coast
title_fullStr Tsunamis from source to coast
title_full_unstemmed Tsunamis from source to coast
title_sort Tsunamis from source to coast
author Wronna, Martin
author_facet Wronna, Martin
author_role author
dc.contributor.none.fl_str_mv Baptista, Maria Ana
Kânoğlu, Utku
Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Wronna, Martin
dc.subject.por.fl_str_mv Caracterização de perigo de tsunami
Sistemas de alerta de tsunami
Cálculo analítico de tsunami runup
Modelo de equações de águas pouco profundas não-lineares
Estimativas rápidas do tsunami runup
Tsunami hazard
Tsunami early warning systems
Analytical runup computation
Analytical runup computation
Rapid tsunami runup estimation
Domínio/Área Científica::Ciências Naturais::Ciências da Terra e do Ambiente
topic Caracterização de perigo de tsunami
Sistemas de alerta de tsunami
Cálculo analítico de tsunami runup
Modelo de equações de águas pouco profundas não-lineares
Estimativas rápidas do tsunami runup
Tsunami hazard
Tsunami early warning systems
Analytical runup computation
Analytical runup computation
Rapid tsunami runup estimation
Domínio/Área Científica::Ciências Naturais::Ciências da Terra e do Ambiente
description Tsunami disasters pose a significant threat to coastal communities. In the last decades, tsunamis caused enormous destruction and exceeding 250000 fatalities. International efforts led to sig-nificant advances in tsunami science and research, but recent events demonstrated some limi-tations. Thus, it is essential to increase our knowledge of the source to coast tsunami phenom-enon. A better understanding of potential tectonic structures and other generation mechanisms is needed, especially in complex geologic domains or where sources are unknown. Furthermore, we need to improve Tsunami Warning Systems (TWSs) to provide timely alerts for communi-ties in the near field. Therefore, potential tsunamigenic sources in the diffuse plate boundary setting and the near field of the southwest Iberian margin (SWIM) are investigated. For the March 31, 1761, trans-atlantic tsunami, numerical modelling has been used to propose a structure that agrees with tsunami travel times, tsunami observations, macroseismic data, and kinematic plate modelling. Since there exists a description of a tsunami for the November 11, 1858, Sétubal earthquake, its source has been investigated using macroseismic analysis. The analysis suggests a local structure in a compressive regime with weak to moderate tsunamigenic potential. Future tsu-nami hazard assessments need to include the sources of the investigated events. To quickly estimate the tsunami impact, the Tsunami Runup Predictor (TRP), an empirical source-to-coast method to instantly provide first-order estimates of the tsunami runup based on waveform parameters has been developed. The TRP is helpful for emergency managers and evacuation planning for near-field events. Moreover, the author of this thesis contributed to the tsunami impact assessment of September 28, 2018, Palu tsunami, where tsunamis generated by multiple sources caused runup heights up to 9.2 m. However, for local sources, tsunami warning remains challenging; thus, communities need to be prepared how to respond appropriately to earthquakes and tsunamis with or without warning.
publishDate 2021
dc.date.none.fl_str_mv 2021-12
2022-07-06T11:39:02Z
2022-02
2022-02-01T00:00:00Z
dc.type.driver.fl_str_mv doctoral thesis
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10451/53691
TID:101579586
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instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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