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dc.contributor.authorSoto, Jesús
dc.contributor.authorGarrido, Jorge
dc.contributor.authorSenent Aparicio, Javier
dc.contributor.authorPérez Sánchez, Julio
dc.date.accessioned2018-05-07T11:35:23Z
dc.date.available2018-05-07T11:35:23Z
dc.date.issued2017-11-07
dc.identifier.issn0042-790X
dc.identifier.urihttp://hdl.handle.net/10952/3048
dc.description.abstractOne of the most important problems faced in hydrology is the estimation of flood magnitudes and frequencies in ungauged basins. Hydrological regionalisation is used to transfer information from gauged watersheds to ungauged watersheds. However, to obtain reliable results, the watersheds involved must have a similar hydrological behaviour. In this study, two different clustering approaches are used and compared to identify the hydrologically homogeneous regions. Fuzzy C-Means algorithm (FCM), which is widely used for regionalisation studies, needs the calculation of cluster validity indices in order to determine the optimal number of clusters. Fuzzy Minimals algorithm (FM), which presents an advantage compared with others fuzzy clustering algorithms, does not need to know a priori the number of clusters, so cluster validity indices are not used. Regional homogeneity test based on L-moments approach is used to check homogeneity of regions identified by both cluster analysis approaches. The validation of the FM algorithm in deriving homogeneous regions for flood frequency analysis is illustrated through its application to data from the watersheds in Alto Genil (South Spain). According to the results, FM algorithm is recommended for identifying the hydrologically homogeneous regions for regional frequency analysis.es
dc.language.isoenes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectFuzzy clusteringes
dc.subjectRegionalisationes
dc.subjectAlto geniles
dc.subjectHydrological homogeneityes
dc.subjectRegional flood frequency analysises
dc.titleA novel fuzzy clustering approach to regionalise watersheds with an automatic determination of optimal number of clusterses
dc.typearticlees
dc.rights.accessRightsopenAccesses
dc.journal.titleJournal of Hydrology and Hydromechanicses
dc.volume.number65es
dc.issue.number4es
dc.description.disciplineIngeniería, Industria y Construcciónes


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional