Use este identificador para citar ou linkar para este item: https://repositorio.inpa.gov.br/handle/1/18178
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dc.contributor.authorNobre, Antônio Donato-
dc.contributor.authorCuartas, Luz Adriana-
dc.contributor.authorHodnett, Martin G.-
dc.contributor.authorRennó, Camilo Daleles-
dc.contributor.authorRodrigues, G.-
dc.contributor.authorSilveira, André Luiz Lopes da-
dc.contributor.authorWaterloo, M. J.-
dc.contributor.authorSaleska, Scott Reid-
dc.date.accessioned2020-06-15T21:52:21Z-
dc.date.available2020-06-15T21:52:21Z-
dc.date.issued2011-
dc.identifier.urihttps://repositorio.inpa.gov.br/handle/1/18178-
dc.description.abstractThis paper introduces a new terrain model named HAND, and reports on the calibration and validation of landscape classes representing soil environments in Amazonia, which were derived using it. The HAND model normalizes topography according to the local relative heights found along the drainage network, and in this way, presents the topology of the relative soil gravitational potentials, or local draining potentials. The HAND model has been demonstrated to show a high correlation with the depth of the water table, providing an accurate spatial representation of soil water environments. Normalized draining potentials can be classified according to the relative vertical flowpath-distances to the nearest drainages, defining classes of soil water environments. These classes have been shown to be comparable and have verifiable and reproducible hydrological significance across the studied catchment and for surrounding ungauged catchments. The robust validation of this model over an area of 18,000km2 in the lower Rio Negro catchment has demonstrated its capacity to map expansive environments using only remotely acquired topography data as inputs. The classified HAND model has also preliminarily demonstrated robustness when applied to ungauged catchments elsewhere with contrasting geologies, geomorphologies and soil types. The HAND model and the derived soil water maps can help to advance physically based hydrological models and be applied to a host of disciplines that focus on soil moisture and ground water dynamics. As an original assessment of soil water in the landscape, the HAND model explores the synergy between digital topography data and terrain modeling, presenting an opportunity for solving many difficult problems in hydrology. © 2011 Elsevier B.V.en
dc.language.isoenpt_BR
dc.relation.ispartofVolume 404, Número 1-2, Pags. 13-29pt_BR
dc.rightsRestrito*
dc.subjectDrainage Networksen
dc.subjectDraining Potentialen
dc.subjectFlow Pathen
dc.subjectGravitational Potentialen
dc.subjectNormalization Of Topographyen
dc.subjectRelative Heighten
dc.subjectCatchmentsen
dc.subjectDrainageen
dc.subjectEnd Effectorsen
dc.subjectGravitationen
dc.subjectGroundwateren
dc.subjectLandformsen
dc.subjectRunoffen
dc.subjectSoil Moistureen
dc.subjectTopographyen
dc.subjectTopologyen
dc.subjectGeologic Modelsen
dc.subjectCalibrationen
dc.subjectCatchmenten
dc.subjectDigital Terrain Modelen
dc.subjectDrainage Networken
dc.subjectFlow Modelingen
dc.subjectGeomorphologyen
dc.subjectHydrological Modelingen
dc.subjectModel Validationen
dc.subjectSoil Moistureen
dc.subjectSoil Typeen
dc.subjectSoil Wateren
dc.subjectTerrainen
dc.subjectWater Tableen
dc.subjectAmazoniaen
dc.subjectRio Negro [south America]en
dc.titleHeight Above the Nearest Drainage - a hydrologically relevant new terrain modelen
dc.typeArtigopt_BR
dc.identifier.doi10.1016/j.jhydrol.2011.03.051-
dc.publisher.journalJournal of Hydrologypt_BR
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