A new method for the determination of flow directions and upslope areas in grid digital elevation models

Tarboton, David G.

doi:10.1029/96wr03137

Cited by 2,017 publications

(1,695 citation statements)

References 25 publications

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“…Starting from the DEM, the contribution area and declivity parameters were obtained with the ArcGIS 10.1 software and in the extension TauDEM 5.1.1 (Tarboton;Mohammed, 2013). First, the DEM was corrected by filtering anomalous altitude values pixels.…”

Section: Revised Universal Soil Loss Equation (Rusle)mentioning

confidence: 99%

Spatial and Temporal Modeling of Water Erosion in Dystrophic Red Latosol (Oxisol) Used for Farming and Cattle Raising Activities in a Sub-Basin in the South of Minas Gerais

et al. 2015

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Water erosion is one of the most important soil degradation processes and it can be intensified by land use and vegetal covering changes. Thus, water erosion modeling studies associated to multi temporal analyses of land use are effective in assessing how changes in land cover affects sediment yield. Therefore, considering the modifications in the land use from 1986 to 2011, the aim of this study ranged to estimate water erosion rates and compare them to the soil loss tolerance (SLT) limit in the Latosols (Oxisols) at Ribeirão Caçús sub-basin, in the South of Minas Gerais State, Southeast Brazil, by means of the Revised Universal Soil Loss Equation (RUSLE) in association with the geographic information system (GIS), and geostatistical techniques. So, for each year mapped, soil loss averages were compared by t test at 5% significance to assess the soil degradation stage. The results indicated that, in the period, the soil loss average rate was from 2.4 to 2.6 Mg ha -1 year -1 and the areas with soil loss above the limit of SLT were around 8.0%. The t test demonstrated there was no considerable difference among the soil loss averages (p = 0.18). In consequence, the area of degraded soils did not increase. Thus, the RUSLE model in GIS is a simple and useful tool to estimate the soil loss and help define soil conservation and recovery measures.

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Section: Revised Universal Soil Loss Equation (Rusle)mentioning

confidence: 99%

Spatial and Temporal Modeling of Water Erosion in Dystrophic Red Latosol (Oxisol) Used for Farming and Cattle Raising Activities in a Sub-Basin in the South of Minas Gerais

et al. 2015

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“…The extraction of hydrologic information from digital elevation models (DEMs) has a long history (Jenson and Domingue, 1988;Tarboton, 1997;Lehner and others, 2008) and a wellestablished scientific utility Kumar and others, 2000;Hall and others, 2004;Verdin and others, 2007;Verdin and Worstell, 2008;Beighley and others, 2009). On a global level, however, the quality and consistency of the extracted information has been limited by the available underlying DEMs.…”

Section: Introductionmentioning

confidence: 99%

Hydrologic Derivatives for Modeling and Analysis—A new global high-resolution database

Verdin¹

2017

Data Series

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“…(TARBOTON, 1997). O método D8 envolve a análise de fluxo para cada pixel de uma imagem raster com base nas cotas altimétricas desses pixels.…”

Section: Fator Topográfico Fator Lsunclassified

“…O sentido do fluxo é medido em radianos, no sentido horário a partir do leste. Este método permite diferentes ângulos de fluxo e a partição da direção entre dois ou mais pixel vizinhos, o que representa o caminho seguido pelo fluxo da água de forma mais real (TARBOTON, 1997).No presente estudo foi adotado o método D∞, pois vários autores no Brasil fizeram trabalhos comparando os dois métodos e concluíram que este apresenta melhores resultados quando calculado para este fim (SILVA, 2001; VALENTIN, 2008; FARINASSO, 2005; MATA, 2009.…”

Section: Fator Topográfico Fator Lsunclassified

Identificação Das Áreas Vulneráveis À Erosão a Partir Do Emprego Da Eups – Equação Universal De Perdas De Solos No Município De Riachão Das Neves – Ba.

Gurgel¹,

Júnior

Gomes

et al. 2012

Geografia Ensino &Amp; Pesquisa

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Identificação das áreas vulneráveis à erosão a partir do emprego da EUPS Identification of vulnerable areas for erosion using the USLE model in the Riachão das Neves (BA) municipality ABSTRACT:The high soil loss in tropical environment requires the development of methodologies to identify the most vulnerable areas for erosion, in order to reduce its effects. The lack of systematic measurements of soil erosion due to high cost can be mitigated by landscape dynamics simulations usually developed in Geographic Information Systems. In Ecological and Economic Zoning (EEZ) is adopted a methodology for estimating the vulnerability to soil loss using a weighted average of the environmental and land use factors. In this paper, we propose the use of Equation Universal Soil Loss (EUPS), the most widely used model developed to predict the annual rate of erosion. However, USLE needs of consistent information for a reliable quantitative estimate, which does not exist for most regions of Brazil. Despite such data limitation, the use of the USLE is appropriate for the EEZ study in a qualitative approach, highlighting the areas more or less vulnerable. The aim of this paper is to apply the USLE in the Riachão das Neves (BA) municipality in order to identify vulnerable areas to soil loss. The methodology proved to be adequate and demonstrates that the most vulnerable areas are located on sites with steep slopes and agricultural use in karst valleys.Palavras chave: EUPS; Fator topográfico; Uso e cobertura da Terra.

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A new method for the determination of flow directions and upslope areas in grid digital elevation models

Cited by 2,017 publications

References 25 publications

Spatial and Temporal Modeling of Water Erosion in Dystrophic Red Latosol (Oxisol) Used for Farming and Cattle Raising Activities in a Sub-Basin in the South of Minas Gerais

Spatial and Temporal Modeling of Water Erosion in Dystrophic Red Latosol (Oxisol) Used for Farming and Cattle Raising Activities in a Sub-Basin in the South of Minas Gerais

Hydrologic Derivatives for Modeling and Analysis—A new global high-resolution database

Identificação Das Áreas Vulneráveis À Erosão a Partir Do Emprego Da Eups – Equação Universal De Perdas De Solos No Município De Riachão Das Neves – Ba.

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