Use este identificador para citar ou linkar para este item: https://repositorio.inpa.gov.br/handle/1/18178
Título: Height Above the Nearest Drainage - a hydrologically relevant new terrain model
Autor: Nobre, Antônio Donato
Cuartas, Luz Adriana
Hodnett, Martin G.
Rennó, Camilo Daleles
Rodrigues, G.
Silveira, André Luiz Lopes da
Waterloo, M. J.
Saleska, Scott Reid
Palavras-chave: Drainage Networks
Draining Potential
Flow Path
Gravitational Potential
Normalization Of Topography
Relative Height
Catchments
Drainage
End Effectors
Gravitation
Groundwater
Landforms
Runoff
Soil Moisture
Topography
Topology
Geologic Models
Calibration
Catchment
Digital Terrain Model
Drainage Network
Flow Modeling
Geomorphology
Hydrological Modeling
Model Validation
Soil Moisture
Soil Type
Soil Water
Terrain
Water Table
Amazonia
Rio Negro [south America]
Data do documento: 2011
Revista: Journal of Hydrology
Encontra-se em: Volume 404, Número 1-2, Pags. 13-29
Abstract: This 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.
DOI: 10.1016/j.jhydrol.2011.03.051
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