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dc.creatorGiménez Díaz, Rafaeles_ES
dc.creatorMezkiritz Barberena, Irantzues_ES
dc.creatorCampo-Bescós, Migueles_ES
dc.creatorÁlvarez-Mozos, Jesúses_ES
dc.creatorGonzález de Audícana Amenábar, Maríaes_ES
dc.creatorMartínez de Aguirre Escobar, Alejandroes_ES
dc.creatorCasalí Sarasíbar, Javieres_ES
dc.date.accessioned2019-03-01T07:47:03Z
dc.date.available2019-03-01T07:47:03Z
dc.date.issued2016
dc.identifier.issn0885-6087 (Print)
dc.identifier.issn1099-1085 (Electronic)
dc.identifier.urihttps://hdl.handle.net/2454/32469
dc.description.abstractDepression storage (DS) is the maximum storage of precipitation and runoff in the soil surface at a given slope. The DS is determined by soil roughness that in agricultural soils is largely affected by tillage. The direct measurement of DS is not straightforward because of the natural permeability of the soil. Therefore, DS has generally been estimated from 2D/3D empirical relationships and numerical algorithms based on roughness indexes and height measurements of the soil surface, respectively. The objective of this work was to evaluate the performance of some 2D models for DS, using direct and reliable measurements of DS in an agricultural soil as reference values. The study was carried out in experimental microplots where DS was measured in six situations resulting from the combination of three types of tillage carried out parallel and perpendicular to the main slope. Those data were used as reference to evaluate four empirical models and a numerical method. Longitudinal altitudinal profiles of the relief were obtained by a laser profilometer. Infiltration measurements were carried out before and after tillage. The DS was largely affected by tillage and its direction. Highest values of DS are found on rougher surfaces mainly when macroforms cut off the dominant slope. The empirical models had a limited performance while the numerical method was the most effective, even so, with an important variability. In addition, a correct hydrological management should take into account that each type of soil tillage affects infiltration rate differently.en
dc.description.sponsorshipThis study was partly funded by the Spanish Government’s National Scientific Research, Development and Technological Innovation Plan, project code CGL2011-24336.en
dc.format.extent17 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherWileyen
dc.relation.ispartofHydrological Processes, 30, 3197–3209 (2016)en
dc.rights© 2016 John Wiley & Sons, Ltd.en
dc.subjectDepression storageen
dc.subjectRoughness indexen
dc.subjectModellingen
dc.subjectAgricultural soilen
dc.subjectTillageen
dc.titleEvaluation of 2D models for the prediction of surface depression storage using realistic reference valuesen
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Proyectos e Ingeniería Rurales_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Landa Ingeniaritza eta Proiektuak Sailaeu
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.identifier.doi10.1002/hyp.10833
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/6PN/CGL2011-24336en
dc.relation.publisherversionhttps://doi.org/10.1002/hyp.10833
dc.type.versionVersión aceptada / Onetsi den bertsioaes
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen


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