Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events

Land-use planning in regard of earthquake-triggered landslides is usually implemented by means of the production of hazard maps. The well-known Newmark rigid block methodology is the most frequent used approach for this purpose. In this method, slope stability is evaluated by the estimation of the N...

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Detalles Bibliográficos
Autores: Rodríguez Peces, Martín Jesús, Román Herrera, J.C., Peláez, José A., Delgado, José, Tsige Beyene, Meaza, Martino, Salvatore, Garrido, Jesús
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/6712
Acceso en línea:https://hdl.handle.net/20.500.14352/6712
Access Level:acceso abierto
Palabra clave:550.34:551.243.4
Landslide
Earthquake
Seismically-induced landslide
Hazard map
Logic-tree
Geodinámica
2507 Geofísica
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oai_identifier_str oai:docta.ucm.es:20.500.14352/6712
network_acronym_str ES
network_name_str España
repository_id_str
spelling Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude eventsRodríguez Peces, Martín JesúsRomán Herrera, J.C.Peláez, José A.Delgado, JoséTsige Beyene, MeazaMartino, SalvatoreGarrido, Jesús550.34:551.243.4LandslideEarthquakeSeismically-induced landslideHazard mapLogic-treeGeodinámica2507 GeofísicaLand-use planning in regard of earthquake-triggered landslides is usually implemented by means of the production of hazard maps. The well-known Newmark rigid block methodology is the most frequent used approach for this purpose. In this method, slope stability is evaluated by the estimation of the Newmark displacement, which is used to set different categories of hazard. This methodology presents limitations due to the difficulty of incorporating the variability of the used variables. For that reason, the logic-tree approach has been used in order to incorporate the epistemic uncertainties and compute probabilistic seismic-landslide hazard maps. However, the used weights in the logic-tree are usually set for each branch based on an expert judgement or subjective criteria. This article provide data obtained from the use of logic-tree methodology; this dataset is useful for deriving the unbiased weights to use in such methodology and in moderate-to-low magnitude scenarios. The data presented here are related to the article entitled “Obtaining suitable logic-tree weights for probabilistic earthquake-induced landslide hazard analyses” (Rodríguez-Peces et al., 2020)ElsevierUniversidad Complutense de Madrid20202020-08-0120202020-08-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/6712reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Atribución 3.0 Españahttps://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/67122026-06-02T12:44:21Z
dc.title.none.fl_str_mv Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events
title Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events
spellingShingle Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events
Rodríguez Peces, Martín Jesús
550.34:551.243.4
Landslide
Earthquake
Seismically-induced landslide
Hazard map
Logic-tree
Geodinámica
2507 Geofísica
title_short Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events
title_full Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events
title_fullStr Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events
title_full_unstemmed Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events
title_sort Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events
dc.creator.none.fl_str_mv Rodríguez Peces, Martín Jesús
Román Herrera, J.C.
Peláez, José A.
Delgado, José
Tsige Beyene, Meaza
Martino, Salvatore
Garrido, Jesús
author Rodríguez Peces, Martín Jesús
author_facet Rodríguez Peces, Martín Jesús
Román Herrera, J.C.
Peláez, José A.
Delgado, José
Tsige Beyene, Meaza
Martino, Salvatore
Garrido, Jesús
author_role author
author2 Román Herrera, J.C.
Peláez, José A.
Delgado, José
Tsige Beyene, Meaza
Martino, Salvatore
Garrido, Jesús
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 550.34:551.243.4
Landslide
Earthquake
Seismically-induced landslide
Hazard map
Logic-tree
Geodinámica
2507 Geofísica
topic 550.34:551.243.4
Landslide
Earthquake
Seismically-induced landslide
Hazard map
Logic-tree
Geodinámica
2507 Geofísica
description Land-use planning in regard of earthquake-triggered landslides is usually implemented by means of the production of hazard maps. The well-known Newmark rigid block methodology is the most frequent used approach for this purpose. In this method, slope stability is evaluated by the estimation of the Newmark displacement, which is used to set different categories of hazard. This methodology presents limitations due to the difficulty of incorporating the variability of the used variables. For that reason, the logic-tree approach has been used in order to incorporate the epistemic uncertainties and compute probabilistic seismic-landslide hazard maps. However, the used weights in the logic-tree are usually set for each branch based on an expert judgement or subjective criteria. This article provide data obtained from the use of logic-tree methodology; this dataset is useful for deriving the unbiased weights to use in such methodology and in moderate-to-low magnitude scenarios. The data presented here are related to the article entitled “Obtaining suitable logic-tree weights for probabilistic earthquake-induced landslide hazard analyses” (Rodríguez-Peces et al., 2020)
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-08-01
2020
2020-08-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/6712
url https://hdl.handle.net/20.500.14352/6712
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución 3.0 España
https://creativecommons.org/licenses/by/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución 3.0 España
https://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300724

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