Height Above the Nearest Drainage - a hydrologically relevant new terrain model
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 netw...
| Autor principal: | Nobre, Antônio Donato |
|---|---|
| Outros Autores: | Cuartas, Luz Adriana, Hodnett, Martin G., Rennó, Camilo Daleles, Rodrigues, G., Silveira, André Luiz Lopes da, Waterloo, M. J., Saleska, Scott Reid |
| Grau: | Artigo |
| Idioma: | English |
| Publicado em: |
Journal of Hydrology
2020
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| Assuntos: | |
| Acesso em linha: |
https://repositorio.inpa.gov.br/handle/1/18178 |
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oai:repositorio:1-18178 |
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dspace |
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oai:repositorio:1-18178 Height Above the Nearest Drainage - a hydrologically relevant new terrain model 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 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] 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. 2020-06-15T21:52:21Z 2020-06-15T21:52:21Z 2011 Artigo https://repositorio.inpa.gov.br/handle/1/18178 10.1016/j.jhydrol.2011.03.051 en Volume 404, Número 1-2, Pags. 13-29 Restrito Journal of Hydrology |
| institution |
Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional |
| collection |
INPA-RI |
| language |
English |
| topic |
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] |
| spellingShingle |
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] Nobre, Antônio Donato Height Above the Nearest Drainage - a hydrologically relevant new terrain model |
| topic_facet |
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] |
| description |
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. |
| format |
Artigo |
| author |
Nobre, Antônio Donato |
| author2 |
Cuartas, Luz Adriana Hodnett, Martin G. Rennó, Camilo Daleles Rodrigues, G. Silveira, André Luiz Lopes da Waterloo, M. J. Saleska, Scott Reid |
| author2Str |
Cuartas, Luz Adriana Hodnett, Martin G. Rennó, Camilo Daleles Rodrigues, G. Silveira, André Luiz Lopes da Waterloo, M. J. Saleska, Scott Reid |
| title |
Height Above the Nearest Drainage - a hydrologically relevant new terrain model |
| title_short |
Height Above the Nearest Drainage - a hydrologically relevant new terrain model |
| title_full |
Height Above the Nearest Drainage - a hydrologically relevant new terrain model |
| title_fullStr |
Height Above the Nearest Drainage - a hydrologically relevant new terrain model |
| title_full_unstemmed |
Height Above the Nearest Drainage - a hydrologically relevant new terrain model |
| title_sort |
height above the nearest drainage - a hydrologically relevant new terrain model |
| publisher |
Journal of Hydrology |
| publishDate |
2020 |
| url |
https://repositorio.inpa.gov.br/handle/1/18178 |
| _version_ |
1787144722329894912 |
| score |
11.755432 |