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dc.contributor.authorClavera Gispert, Roger
dc.contributor.authorQuintana Seguí, Pere
dc.contributor.authorPalazón, Leticia
dc.contributor.authorZabaleta Lopetegui, Ane
dc.contributor.authorCenobio Cruz, Omar
dc.contributor.authorBarella Ortiz, Anaïs
dc.contributor.authorBeguería-Portugués, S.
dc.date.accessioned2023-06-26T17:38:17Z
dc.date.available2023-06-26T17:38:17Z
dc.date.issued2023-04
dc.identifier.citationJournal of Hydrology: Regional Studies 46 : (2023) // Article ID 101322es_ES
dc.identifier.issn2214-5818
dc.identifier.urihttp://hdl.handle.net/10810/61640
dc.description.abstractStudy region: The Pyrenees. Study focus: The Pyrenees is sensitive to changes in climate (both natural and of anthropic origin) and changes in land use and cover (LULC). These changes can influence the water resources. The historical evolution (1980–2013) of the stream flows are studied using observed time series from non-influenced gauging stations and two models (SASER and SWAT). Their comparison helps to detect and analyze changes in flow rates and their trends (trends are computed using the Sen’s slope estimator, the significance of which was evaluated using the Mann-Kendall test). Further- more, it also allows to explore the question of attribution (these models do not simulate LULC change). New hydrological insights for the region: A complex and diverse domain such as the Pyrenees gives large differences between modelled trends revealing a large uncertainty that has been observed thanks to the use of two models. For the study period, mostly there are no significant trends. When trends are present in the observations and are also simulated, they are attributed to the effects of climate (natural variability and human induced climate change). When the significant trends observed are not simulated by the models, they are mainly attributed to changes in LULC. In general, models have difficulties detecting observed trends, leading to their attribution to changes in LULCs rather than climate, but there are some notable exceptions.es_ES
dc.description.sponsorshipThis work was supported by the project EFA210/16/PIRAGUA co-founded by the European Regional Development Fund (ERDF) through the Interreg V Spain-France-Andorre Programme (POCTEFA 2014-2020) of the European Union. The authors wish to thank the PIRAGUA team for their valuable work.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectPyreneeses_ES
dc.subjectstream flow trendses_ES
dc.subjecthydrological modelinges_ES
dc.subjectclimate variabilityes_ES
dc.subjectland usees_ES
dc.subjectland coveres_ES
dc.titleStreamflow trends of the Pyrenees using observations and multi-model approach (1980–2013)es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).es_ES
dc.rights.holderAtribución-NoComercial-SinDerivadas 3.0 España*
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2214581823000095es_ES
dc.identifier.doi10.1016/j.ejrh.2023.101322
dc.departamentoesDidáctica de las Matemáticas, Ciencias Experimentales y Socialeses_ES
dc.departamentoeuMatematika, Zientzia Esperimental eta Gizarte Zientzien Didaktikaes_ES


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© 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license
(http://creativecommons.org/licenses/by-nc-nd/4.0/).
Except where otherwise noted, this item's license is described as © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).