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Obtaining suitable logic-tree weights for probabilistic earthquake-induced landslide hazard analyses

dc.contributor.authorRodríguez Peces, Martín Jesús
dc.contributor.authorRomán Herrera, J.C.
dc.contributor.authorPeláez, J.A.
dc.contributor.authorDelgado, J.
dc.contributor.authorTsige Beyene, Meaza
dc.contributor.authorMissori, C.
dc.contributor.authorMartino, S.
dc.contributor.authorGarrido, J.
dc.date.accessioned2023-06-16T15:20:43Z
dc.date.available2023-06-16T15:20:43Z
dc.date.issued2020-09-20
dc.description.abstractIn this study, an inventory of landslides induced by the 2011 Lorca earthquake (Mw 5.1) has been used in order to develop a new procedure to obtain objective logic-tree weights for a probabilistic earthquake-induced landslide hazard analysis. The 2011 Lorca earthquake triggered more than 250 landslides, mainly of disrupted type. The logic-tree was designed having regard to variability of relevant geotechnical parameters involved in the problem and uncertainties associated with the use of several empirical relationships in order to compute Newmark displacements. For the purpose, the resulting hazard maps were compared with this landslide inventory, and weights estimated for each branch of the logic tree based on these results. The best model for seismic landslide hazard mapping for a moderate earthquake correctly identifies around 72% of landslide areas. Based on the set of parameters that comprises (depth of failure surface, specific weight, cohesion, friction angle and Newmark displacement model), the corresponding weights were objectively established. These weights are reliable enough for the obtaining seismic landslide hazard maps and may be implemented in similar environments characterized by moderate-low magnitude earthquakes (Mw < 5.5).
dc.description.departmentDepto. de Geodinámica, Estratigrafía y Paleontología
dc.description.facultyFac. de Ciencias Geológicas
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Economía y Competitividad (MINECO)/FEDER
dc.description.sponsorshipUniversidad Complutense de Madrid/Universidad de Jaén
dc.description.sponsorshipUniversidad de Alicante
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/61668
dc.identifier.doi10.1016/j.enggeo.2020.105743
dc.identifier.issn0013-7952, ESSN: 1872-6917
dc.identifier.officialurlhttps://www.sciencedirect.com/science/article/abs/pii/S0013795220301861#!
dc.identifier.urihttps://hdl.handle.net/20.500.14352/6425
dc.issue.number105743
dc.journal.titleEngineering Geology
dc.language.isoeng
dc.publisherElsevier
dc.relation.projectID(CGL2015- 65602-R; CGL2017-83931-C3-1-P)
dc.relation.projectIDUCM (910368)
dc.relation.projectIDVIGROB-184
dc.rights.accessRightsrestricted access
dc.subject.cdu624.131.537
dc.subject.cdu550.34
dc.subject.keywordLandslide
dc.subject.keywordEarthquake
dc.subject.keywordSeismically-induced landslide
dc.subject.keywordHazard map
dc.subject.keywordLogic tree
dc.subject.ucmGeodinámica
dc.subject.unesco2507 Geofísica
dc.titleObtaining suitable logic-tree weights for probabilistic earthquake-induced landslide hazard analyses
dc.typejournal article
dc.volume.number275
dspace.entity.typePublication
relation.isAuthorOfPublicationc7570f72-f355-48f4-8aab-c734b04b9044
relation.isAuthorOfPublicationd05d351d-a062-4537-8a68-9c05b3a3003d
relation.isAuthorOfPublication.latestForDiscoveryc7570f72-f355-48f4-8aab-c734b04b9044

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