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dc.creatorAmaro Mellado, José Lázaroes
dc.creatorMelgar García, Lauraes
dc.creatorRubio Escudero, Cristinaes
dc.creatorGutiérrez Avilés, Davides
dc.date.accessioned2022-04-04T11:02:21Z
dc.date.available2022-04-04T11:02:21Z
dc.date.issued2021
dc.identifier.citationAmaro Mellado, J.L., Melgar García, L., Rubio Escudero, C. y Gutiérrez Avilés, D. (2021). Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach. Computers and Geosciences, 150 (May 2021, art. nº 104736)
dc.identifier.issn0098-3004es
dc.identifier.urihttps://hdl.handle.net/11441/131717
dc.description.abstractSeismogenic source zone models, including the delineation and the characterization, still have a role to play in seismic hazard calculations, particularly in regions with moderate or low to moderate seismicity. Seismic source zones establish areas with common tectonic and seismic characteristics, described by a unique magnitude–frequency distribution. Their definition can be addressed from different views. Traditionally, the source zones have been geographically outlined from seismotectonic, geological structures, and earthquake catalogs. Geographic information systems (GIS) can be of great help in their definition, as they deal rigorously and less ambiguously with the available geographical data. Moreover, novel computer science approaches are now being employed in their definition. The Pyrenees mountain range – in southwest Europe – is located in a region characterized by low to moderate seismicity. In this study, a method based purely on seismic catalogs, managed with a GIS and a triclustering algorithm, were used to delineate seismogenic zones in the Pyrenees. Based on an updated, reviewed, declustered, extensive, and homogeneous earthquake catalog (including detailed information about each event such as date and time, hypocentral location, and size), a triclustering algorithm has been applied to generate the seismogenic zones. The method seeks seismicity patterns in a quasi-objective manner following an initial assessment as to the best suited seismic parameters. The eight zones identified as part of this study are represented on maps to be analyzed, being the zone covered by the Arudy–Arette region to Bagnères de Bigorre as the one with the highest seismic hazard potential.es
dc.description.sponsorshipEuropean Commission (EC) 0313-PERSISTAHes
dc.description.sponsorshipMinisterio de Economía y Competitividad TIN2017-88209-C2es
dc.description.sponsorshipJunta de Andalucía US-1263341es
dc.formatapplication/pdfes
dc.format.extent12es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofComputers and Geosciences, 150 (May 2021, art. nº 104736)
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSeismic sourceses
dc.subjectGISes
dc.subjectData Sciencees
dc.subjectTriclusteringes
dc.titleGenerating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approaches
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.projectID0313-PERSISTAHes
dc.relation.projectIDTIN2017-88209-C2es
dc.relation.projectIDUS-1263341es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0098300421000455?via%3Dihubes
dc.identifier.doi10.1016/j.cageo.2021.104736es
dc.journaltitleComputers and Geoscienceses
dc.publication.volumen150es
dc.publication.issueMay 2021, art. nº 104736es
dc.contributor.funderEuropean Commission (EC)es
dc.contributor.funderMinisterio de Economía y Competitividad (MINECO). Españaes
dc.contributor.funderJunta de Andalucíaes

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