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dc.contributor.authorPalazón Tabuenca, Leticiaes_ES
dc.contributor.authorNavas Izquierdo, Anaes_ES
dc.date.accessioned2016-08-23T07:11:17Z-
dc.date.available2016-08-23T07:11:17Z-
dc.date.issued2017-
dc.identifier.citationPalazón L, Navas A. Variability in source sediment contributions by applying different statistic test for a Pyrenean catchment. Journal of Environmental Management 194: 42-53 (2017)es_ES
dc.identifier.issn0301-4797-
dc.identifier.urihttp://hdl.handle.net/10261/135754-
dc.description27 Pags.- 4 Tabls.- 5 Figs. The definitive version is available at: http://www.sciencedirect.com/science/journal/03014797es_ES
dc.description.abstractInformation on sediment contribution and transport dynamics from the contributing catchments is needed to develop management plans to tackle environmental problems related with effects of fine sediment as reservoir siltation. In this respect, the fingerprinting technique is an indirect technique known to be valuable and effective for sediment source identification in river catchments. Large variability in sediment delivery was found in previous studies in the Barasona catchment (1509 km2, Central Spanish Pyrenees). Simulation results with SWAT and fingerprinting approaches identified badlands and agricultural uses as the main contributors to sediment supply in the reservoir. In this study the <63 μm sediment fraction from the surface reservoir sediments (2 cm) are investigated following the fingerprinting procedure to assess how the use of different statistical procedures affects the amounts of source contributions. Three optimum composite fingerprints were selected to discriminate between source contributions based in land uses/land covers from the same dataset by the application of (1) discriminant function analysis; and its combination (as second step) with (2) Kruskal–Wallis H-test and (3) principal components analysis. Source contribution results were different between assessed options with the greatest differences observed for option using #3, including the two step process: principal components analysis and discriminant function analysis. The characteristics of the solutions by the applied mixing model and the conceptual understanding of the catchment showed that the most reliable solution was achieved using #2, the two step process of Kruskal–Wallis H-test and discriminant function analysis. The assessment showed the importance of the statistical procedure used to define the optimum composite fingerprint for sediment fingerprinting applications.es_ES
dc.description.sponsorshipThis research was financially supported by the CICYT project CGL2014-52986-R of the National Research Plan.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.isversionofPostprintes_ES
dc.rightsopenAccessen_EN
dc.subjectSediment fingerprintinges_ES
dc.subjectOptimum composite fingerprintes_ES
dc.subjectMixing modeles_ES
dc.subjectSediment source ascriptiones_ES
dc.subjectMountain catchmentes_ES
dc.subjectSpanish Pyreneeses_ES
dc.titleVariability in source sediment contributions by applying different statistic test for a Pyrenean catchmentes_ES
dc.typeartículoes_ES
dc.identifier.doi10.1016/j.jenvman.2016.07.058-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.jenvman.2016.07.058es_ES
dc.identifier.e-issn1095-8630-
dc.embargo.terms2018-08-03es_ES
dc.rights.licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.contributor.funderComisión Interministerial de Ciencia y Tecnología, CICYT (España)es_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.identifier.funderhttp://dx.doi.org/10.13039/501100007273es_ES
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