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dc.contributor.authorBlake, Willes_ES
dc.contributor.authorSmith, Hughes_ES
dc.contributor.authorNavas Izquierdo, Anaes_ES
dc.contributor.authorBodé, Samueles_ES
dc.contributor.authorGoddard, Ruppertes_ES
dc.contributor.authorKuzyk, Zou Zoues_ES
dc.contributor.authorLennard, Amyes_ES
dc.contributor.authorPalazón Tabuenca, Leticiaes_ES
dc.contributor.authorPetticrew, Ellen L.es_ES
dc.contributor.authorGaspar Ferrer, Leticiaes_ES
dc.contributor.authorStock, Brianes_ES
dc.contributor.authorBoeckx, Pascales_ES
dc.contributor.authorSemmens, Bricees_ES
dc.date.accessioned2017-06-13T08:56:44Z-
dc.date.available2017-06-13T08:56:44Z-
dc.date.issued2016-04-
dc.identifier.citationGeophysical Research Abstracts 18: EGU2016-10043 (2016)es_ES
dc.identifier.citationEGU General Assembly (Vienna, Austria. 17–22 April 2016)es_ES
dc.identifier.issn1029-7006-
dc.identifier.urihttp://hdl.handle.net/10261/151327-
dc.description1 .pdf copy (1 Pag.) of the exhaustive abstract published by the Organization. © Author(s) 2015. CC Attribution 3.0 License.es_ES
dc.description.abstractIn this contribution, key components of the model are evaluated in the context of common experimental designs for sediment fingerprinting studies namely simple, nested and distributed catchment sampling programmes.es_ES
dc.language.isoenges_ES
dc.publisherEuropean Geosciences Uniones_ES
dc.rightsopenAccesses_ES
dc.titleApplication of hierarchical Bayesian unmixing models in river sediment source apportionmentes_ES
dc.typeArtículoes_ES
dc.description.peerreviewedPeer reviewedes_ES
dc.identifier.e-issn1607-7962-
dc.rights.licensehttps://creativecommons.org/licenses/by/3.0/es_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
Appears in Collections:(EEAD) Comunicaciones congresos
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