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dc.contributor.authorPalau Berastegui, Rosa Maria
dc.contributor.authorBerenguer Ferrer, Marc
dc.contributor.authorHurlimann Ziegler, Marcel
dc.contributor.authorSempere Torres, Daniel
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.date.accessioned2022-05-02T17:02:21Z
dc.date.available2022-05-02T17:02:21Z
dc.date.issued2022-07
dc.identifier.citationPalau, R. [et al.]. Application of a fuzzy verification framework for the evaluation of a regional-scale landslide early warning system during the January 2020 Gloria storm in Catalonia (NE Spain). "Landslides", Juliol 2022, vol. 19, núm. 7, p. 1599-1616.
dc.identifier.issn1612-5118
dc.identifier.urihttp://hdl.handle.net/2117/366674
dc.description.abstractThe Gloria storm rainfalls affected Catalonia from 20 to 23 January 2020 and triggered multiple landslides, some of which affected buildings and infrastructures (such as roads and railways). This paper presents the rainfall and landslide datasets collected during the event, and evaluates the performance of a regional landslide early warning system (LEWS) during the Gloria storm applying a fuzzy verification method. The majority of the inventoried landslides can be classified as slides, involving a limited volume of sediment (up to 10 m3), and were triggered in cut slopes along linear infrastructures. Rainfall accumulations were significant in the whole region, especially in the Montseny area, where over 450 mm were registered in 96 h. Generally, the LEWS computed moderate and high warnings in the areas where large rainfall amounts were recorded, and showed good correspondence with the locations where landslides were reported. The fuzzy verification method has been applied using neighbouring windows of different sizes to obtain scale-dependant information on the LEWS performance. The skill of the LEWS considerably improves when enlarging the neighbouring window size from 500 m to 1 km.
dc.description.sponsorshipOpen Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. The first author is supported by a grant from the Secretariat of Universities and Research of the Ministry of Business and Knowledge of the Generalitat de Catalunya. This work has been partly funded by the EC H2020 project ANYWHERE (DRS-01–2015–700099) and the Spanish national projects SMuCPhy and EROSLOP (BIA 2015–67500-R and PID2019–104266RB–I00/AEI/).
dc.format.extent18 p.
dc.language.isoeng
dc.rightsAttribution 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia
dc.subjectÀrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Ports i costes
dc.subject.lcshStorms--Mediterranean Region
dc.subject.lcshRadar meteorology
dc.subject.otherGloria storm
dc.subject.otherMORLE
dc.subject.otherQuantitative rainfall estimation
dc.subject.otherLandslide early warning system
dc.subject.otherFuzzy verification
dc.subject.otherUncertainty
dc.titleApplication of a fuzzy verification framework for the evaluation of a regional-scale landslide early warning system during the January 2020 Gloria storm in Catalonia (NE Spain)
dc.typeArticle
dc.subject.lemacRadarmeteorologia
dc.subject.lemacTempestes -- Mediterrània, Mar
dc.contributor.groupUniversitat Politècnica de Catalunya. CRAHI - Centre de Recerca Aplicada en Hidrometeorologia
dc.contributor.groupUniversitat Politècnica de Catalunya. EnGeoModels - Monitoring and Modelling in Engineering Geology
dc.identifier.doi10.1007/s10346-022-01854-2
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s10346-022-01854-2
dc.rights.accessOpen Access
local.identifier.drac33072849
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/700099/EU/EnhANcing emergencY management and response to extreme WeatHER and climate Events/ANYWHERE
local.citation.authorPalau, R.; Berenguer, M.; Hurlimann, M.; Sempere-Torres, D.
local.citation.publicationNameLandslides
local.citation.volume19
local.citation.number7
local.citation.startingPage1599
local.citation.endingPage1616


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