The making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18)

Detalhes bibliográficos
Autor(a) principal: Basili, Roberto
Data de Publicação: 2021
Outros Autores: Brizuela, Beatriz, Herrero, Andre, Iqbal, Sarfraz, Lorito, Stefano, Maesano, Francesco Emanuele, Murphy, Shane, Perfetti, Paolo, Romano, Fabrizio, Scala, Antonio, SELVA, Jacopo, Taroni, Matteo, Tiberti, Mara Monica, Thio, Hong Kie, Tonini, Roberto, Volpe, Manuela, Glimsdal, Sylfest, Harbitz, Carl Bonnevie, Lovholt, Finn, Baptista, Maria Ana Carvalho Viana, Carrilho, Fernando, Matias, Luis, Omira, Rachid, Babeyko, Andrey, Hoechner, Andreas, Gurbuz, Mucahit, Pekcan, Onur, Yalciner, Ahmet, Canals, Miquel, Lastras, Galderic, Agalos, Apostolos, Papadopoulos, Gerassimos, TRIANTAFYLLOU, IOANNA, Benchekroun, Sabah, Jaouadi, Hedi Agrebi, Ben Ahmed, Samir, Bouallegue, Atef, Hamdi, Hassene, Oueslati, Foued, Amato, Alessandro, ARMIGLIATO, ALBERTO, Behrens, Joern, Davies, Gareth, Di Bucci, Daniela, Dolce, Mauro, Geist, Eric, GONZALEZ-VIDA, J.M., Gonzalez, Mauricio, Macías, Jorge, Meletti, Carlo, Sozdinler, Ceren Ozer, Pagani, Marco, Parsons, Tom, Polet, Jascha, Power, William, Sorensen, Mathilde, Zaytsev, Andrey
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.21/13222
Resumo: The NEAM Tsunami Hazard Model 2018 (NEAMTHM18) is a probabilistic hazard model for tsunamis generated by earthquakes. It covers the coastlines of the North-eastern Atlantic, the Mediterranean, and connected seas (NEAM). NEAMTHM18 was designed as a threephase project. The first two phases were dedicated to the model development and hazard calculations, following a formalized decision-making process based on a multiple-expert protocol. The third phase was dedicated to documentation and dissemination. The hazard assessment workflow was structured in Steps and Levels. There are four Steps: Step-1) probabilistic earthquake model; Step-2) tsunami generation and modeling in deep water; Step-3) shoaling and inundation; Step-4) hazard aggregation and uncertainty quantification. Each Step includes a different number of Levels. Level-0 always describes the input data; the other Levels describe the intermediate results needed to proceed from one Step to another. Alternative datasets and models were considered in the implementation. The epistemic hazard uncertainty was quantified through an ensemble modeling technique accounting for alternative models' weights and yielding a distribution of hazard curves represented by the mean and various percentiles. Hazard curves were calculated at 2,343 Points of Interest (P01) distributed at an average spacing of -20 km. Precalculated probability maps for five maximum inundation heights (MIH) and hazard intensity maps for five average return periods (ARP) were produced from hazard curves. In the entire NEAM Region, MIHs of several meters are rare but not impossible. Considering a 2% probability of exceedance in 50 years (ARP approximate to 2,475 years), the POIs with MIH >5 m are fewer than 1% and are all in the Mediterranean on Libya, Egypt, Cyprus, and Greece coasts. In the North-East Atlantic, POIs with MIH >3 m are on the coasts of Mauritania and Gulf of Cadiz. Overall, 30% of the POIs have MIH >1 m. NEAMTHM1 8 results and documentation are available through the TSUMAPS-NEAM project website (http://www.tsumaps-neam.eu/), featuring an interactive web mapper. Although the NEAMTHM1 8 cannot substitute in-depth analyses at local scales, it represents the first action to start local and more detailed hazard and risk assessments and contributes to designing evacuation maps for tsunami early warning.
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spelling The making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18)Probabilistic tsunami hazard assessmentEarthquake-generated tsunamiHazard uncertainty analysisEnsemble modelingMaximum inundation heightNEAMThe NEAM Tsunami Hazard Model 2018 (NEAMTHM18) is a probabilistic hazard model for tsunamis generated by earthquakes. It covers the coastlines of the North-eastern Atlantic, the Mediterranean, and connected seas (NEAM). NEAMTHM18 was designed as a threephase project. The first two phases were dedicated to the model development and hazard calculations, following a formalized decision-making process based on a multiple-expert protocol. The third phase was dedicated to documentation and dissemination. The hazard assessment workflow was structured in Steps and Levels. There are four Steps: Step-1) probabilistic earthquake model; Step-2) tsunami generation and modeling in deep water; Step-3) shoaling and inundation; Step-4) hazard aggregation and uncertainty quantification. Each Step includes a different number of Levels. Level-0 always describes the input data; the other Levels describe the intermediate results needed to proceed from one Step to another. Alternative datasets and models were considered in the implementation. The epistemic hazard uncertainty was quantified through an ensemble modeling technique accounting for alternative models' weights and yielding a distribution of hazard curves represented by the mean and various percentiles. Hazard curves were calculated at 2,343 Points of Interest (P01) distributed at an average spacing of -20 km. Precalculated probability maps for five maximum inundation heights (MIH) and hazard intensity maps for five average return periods (ARP) were produced from hazard curves. In the entire NEAM Region, MIHs of several meters are rare but not impossible. Considering a 2% probability of exceedance in 50 years (ARP approximate to 2,475 years), the POIs with MIH >5 m are fewer than 1% and are all in the Mediterranean on Libya, Egypt, Cyprus, and Greece coasts. In the North-East Atlantic, POIs with MIH >3 m are on the coasts of Mauritania and Gulf of Cadiz. Overall, 30% of the POIs have MIH >1 m. NEAMTHM1 8 results and documentation are available through the TSUMAPS-NEAM project website (http://www.tsumaps-neam.eu/), featuring an interactive web mapper. Although the NEAMTHM1 8 cannot substitute in-depth analyses at local scales, it represents the first action to start local and more detailed hazard and risk assessments and contributes to designing evacuation maps for tsunami early warning.FRONTIERS MEDIA SARCIPLBasili, RobertoBrizuela, BeatrizHerrero, AndreIqbal, SarfrazLorito, StefanoMaesano, Francesco EmanueleMurphy, ShanePerfetti, PaoloRomano, FabrizioScala, AntonioSELVA, JacopoTaroni, MatteoTiberti, Mara MonicaThio, Hong KieTonini, RobertoVolpe, ManuelaGlimsdal, SylfestHarbitz, Carl BonnevieLovholt, FinnBaptista, Maria Ana Carvalho VianaCarrilho, FernandoMatias, LuisOmira, RachidBabeyko, AndreyHoechner, AndreasGurbuz, MucahitPekcan, OnurYalciner, AhmetCanals, MiquelLastras, GaldericAgalos, ApostolosPapadopoulos, GerassimosTRIANTAFYLLOU, IOANNABenchekroun, SabahJaouadi, Hedi AgrebiBen Ahmed, SamirBouallegue, AtefHamdi, HasseneOueslati, FouedAmato, AlessandroARMIGLIATO, ALBERTOBehrens, JoernDavies, GarethDi Bucci, DanielaDolce, MauroGeist, EricGONZALEZ-VIDA, J.M.Gonzalez, MauricioMacías, JorgeMeletti, CarloSozdinler, Ceren OzerPagani, MarcoParsons, TomPolet, JaschaPower, WilliamSorensen, MathildeZaytsev, Andrey2021-04-22T14:08:21Z2021-03-052021-03-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/13222engBASILI, Roberto; [et al] - The making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18). Frontiers in Earth Science. eISSN 2296-6463. Vol. 8 (2021), pp. 1-2910.3389/feart.2020.6165942296-6463info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-03T10:07:35Zoai:repositorio.ipl.pt:10400.21/13222Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:21:12.740581Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv The making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18)
title The making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18)
spellingShingle The making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18)
Basili, Roberto
Probabilistic tsunami hazard assessment
Earthquake-generated tsunami
Hazard uncertainty analysis
Ensemble modeling
Maximum inundation height
NEAM
title_short The making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18)
title_full The making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18)
title_fullStr The making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18)
title_full_unstemmed The making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18)
title_sort The making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18)
author Basili, Roberto
author_facet Basili, Roberto
Brizuela, Beatriz
Herrero, Andre
Iqbal, Sarfraz
Lorito, Stefano
Maesano, Francesco Emanuele
Murphy, Shane
Perfetti, Paolo
Romano, Fabrizio
Scala, Antonio
SELVA, Jacopo
Taroni, Matteo
Tiberti, Mara Monica
Thio, Hong Kie
Tonini, Roberto
Volpe, Manuela
Glimsdal, Sylfest
Harbitz, Carl Bonnevie
Lovholt, Finn
Baptista, Maria Ana Carvalho Viana
Carrilho, Fernando
Matias, Luis
Omira, Rachid
Babeyko, Andrey
Hoechner, Andreas
Gurbuz, Mucahit
Pekcan, Onur
Yalciner, Ahmet
Canals, Miquel
Lastras, Galderic
Agalos, Apostolos
Papadopoulos, Gerassimos
TRIANTAFYLLOU, IOANNA
Benchekroun, Sabah
Jaouadi, Hedi Agrebi
Ben Ahmed, Samir
Bouallegue, Atef
Hamdi, Hassene
Oueslati, Foued
Amato, Alessandro
ARMIGLIATO, ALBERTO
Behrens, Joern
Davies, Gareth
Di Bucci, Daniela
Dolce, Mauro
Geist, Eric
GONZALEZ-VIDA, J.M.
Gonzalez, Mauricio
Macías, Jorge
Meletti, Carlo
Sozdinler, Ceren Ozer
Pagani, Marco
Parsons, Tom
Polet, Jascha
Power, William
Sorensen, Mathilde
Zaytsev, Andrey
author_role author
author2 Brizuela, Beatriz
Herrero, Andre
Iqbal, Sarfraz
Lorito, Stefano
Maesano, Francesco Emanuele
Murphy, Shane
Perfetti, Paolo
Romano, Fabrizio
Scala, Antonio
SELVA, Jacopo
Taroni, Matteo
Tiberti, Mara Monica
Thio, Hong Kie
Tonini, Roberto
Volpe, Manuela
Glimsdal, Sylfest
Harbitz, Carl Bonnevie
Lovholt, Finn
Baptista, Maria Ana Carvalho Viana
Carrilho, Fernando
Matias, Luis
Omira, Rachid
Babeyko, Andrey
Hoechner, Andreas
Gurbuz, Mucahit
Pekcan, Onur
Yalciner, Ahmet
Canals, Miquel
Lastras, Galderic
Agalos, Apostolos
Papadopoulos, Gerassimos
TRIANTAFYLLOU, IOANNA
Benchekroun, Sabah
Jaouadi, Hedi Agrebi
Ben Ahmed, Samir
Bouallegue, Atef
Hamdi, Hassene
Oueslati, Foued
Amato, Alessandro
ARMIGLIATO, ALBERTO
Behrens, Joern
Davies, Gareth
Di Bucci, Daniela
Dolce, Mauro
Geist, Eric
GONZALEZ-VIDA, J.M.
Gonzalez, Mauricio
Macías, Jorge
Meletti, Carlo
Sozdinler, Ceren Ozer
Pagani, Marco
Parsons, Tom
Polet, Jascha
Power, William
Sorensen, Mathilde
Zaytsev, Andrey
author2_role author
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author
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author
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author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
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author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv Basili, Roberto
Brizuela, Beatriz
Herrero, Andre
Iqbal, Sarfraz
Lorito, Stefano
Maesano, Francesco Emanuele
Murphy, Shane
Perfetti, Paolo
Romano, Fabrizio
Scala, Antonio
SELVA, Jacopo
Taroni, Matteo
Tiberti, Mara Monica
Thio, Hong Kie
Tonini, Roberto
Volpe, Manuela
Glimsdal, Sylfest
Harbitz, Carl Bonnevie
Lovholt, Finn
Baptista, Maria Ana Carvalho Viana
Carrilho, Fernando
Matias, Luis
Omira, Rachid
Babeyko, Andrey
Hoechner, Andreas
Gurbuz, Mucahit
Pekcan, Onur
Yalciner, Ahmet
Canals, Miquel
Lastras, Galderic
Agalos, Apostolos
Papadopoulos, Gerassimos
TRIANTAFYLLOU, IOANNA
Benchekroun, Sabah
Jaouadi, Hedi Agrebi
Ben Ahmed, Samir
Bouallegue, Atef
Hamdi, Hassene
Oueslati, Foued
Amato, Alessandro
ARMIGLIATO, ALBERTO
Behrens, Joern
Davies, Gareth
Di Bucci, Daniela
Dolce, Mauro
Geist, Eric
GONZALEZ-VIDA, J.M.
Gonzalez, Mauricio
Macías, Jorge
Meletti, Carlo
Sozdinler, Ceren Ozer
Pagani, Marco
Parsons, Tom
Polet, Jascha
Power, William
Sorensen, Mathilde
Zaytsev, Andrey
dc.subject.por.fl_str_mv Probabilistic tsunami hazard assessment
Earthquake-generated tsunami
Hazard uncertainty analysis
Ensemble modeling
Maximum inundation height
NEAM
topic Probabilistic tsunami hazard assessment
Earthquake-generated tsunami
Hazard uncertainty analysis
Ensemble modeling
Maximum inundation height
NEAM
description The NEAM Tsunami Hazard Model 2018 (NEAMTHM18) is a probabilistic hazard model for tsunamis generated by earthquakes. It covers the coastlines of the North-eastern Atlantic, the Mediterranean, and connected seas (NEAM). NEAMTHM18 was designed as a threephase project. The first two phases were dedicated to the model development and hazard calculations, following a formalized decision-making process based on a multiple-expert protocol. The third phase was dedicated to documentation and dissemination. The hazard assessment workflow was structured in Steps and Levels. There are four Steps: Step-1) probabilistic earthquake model; Step-2) tsunami generation and modeling in deep water; Step-3) shoaling and inundation; Step-4) hazard aggregation and uncertainty quantification. Each Step includes a different number of Levels. Level-0 always describes the input data; the other Levels describe the intermediate results needed to proceed from one Step to another. Alternative datasets and models were considered in the implementation. The epistemic hazard uncertainty was quantified through an ensemble modeling technique accounting for alternative models' weights and yielding a distribution of hazard curves represented by the mean and various percentiles. Hazard curves were calculated at 2,343 Points of Interest (P01) distributed at an average spacing of -20 km. Precalculated probability maps for five maximum inundation heights (MIH) and hazard intensity maps for five average return periods (ARP) were produced from hazard curves. In the entire NEAM Region, MIHs of several meters are rare but not impossible. Considering a 2% probability of exceedance in 50 years (ARP approximate to 2,475 years), the POIs with MIH >5 m are fewer than 1% and are all in the Mediterranean on Libya, Egypt, Cyprus, and Greece coasts. In the North-East Atlantic, POIs with MIH >3 m are on the coasts of Mauritania and Gulf of Cadiz. Overall, 30% of the POIs have MIH >1 m. NEAMTHM1 8 results and documentation are available through the TSUMAPS-NEAM project website (http://www.tsumaps-neam.eu/), featuring an interactive web mapper. Although the NEAMTHM1 8 cannot substitute in-depth analyses at local scales, it represents the first action to start local and more detailed hazard and risk assessments and contributes to designing evacuation maps for tsunami early warning.
publishDate 2021
dc.date.none.fl_str_mv 2021-04-22T14:08:21Z
2021-03-05
2021-03-05T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.21/13222
url http://hdl.handle.net/10400.21/13222
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv BASILI, Roberto; [et al] - The making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18). Frontiers in Earth Science. eISSN 2296-6463. Vol. 8 (2021), pp. 1-29
10.3389/feart.2020.616594
2296-6463
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv FRONTIERS MEDIA SA
publisher.none.fl_str_mv FRONTIERS MEDIA SA
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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