Determining the Sediment Delivery Ratio Using the Sediment-Rating Curve and a Geographic Information System–Embedded Soil Erosion Model on a Basin Scale

Lee, Geun-Sang; Lee, Khil-Ha

doi:10.1061/(asce)he.1943-5584.0000254

Cited by 21 publications

(10 citation statements)

References 24 publications

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“…In addition, changes in land cover, biomass and hydrologic regime of watersheds will also tend to occur, affecting the erosive processes (Lee andLee 2010, Mello et al 2015). Indeed, Guerrero et al (2013), by modelling the dynamics of sediment at different scales on the Middle and Lower Parana River Basin, demonstrated increases in the sediment transport rates, which has caused changes on river morphology.…”

Section: Introductionmentioning

confidence: 98%

“…As most of the models for predicting soil erosion do not consider the hydrological characteristics of the process, the SDR calculation has some relevant uncertainties, such as discontinuity and spatial variability (Lee and Lee 2010). Other methods assess the sediment yield as a function of watershed's area by employing an exponential function (Maner 1958, Kasai et al 2001, Lu et al 2006, Zhou and Wu 2008.…”

Section: Introductionmentioning

confidence: 99%

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Sediment yield in Paraopeba River Basin – MG, Brazil

Durães

Mello

Beskow

2016

International Journal of River Basin Management

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Sediment delivery rate (SDR) is traditionally defined as a fraction of upland gross erosion that is transported through the outlet of a given basin, thus representing an index of the sediment transport efficiency. The objective of this study was to evaluate a model-based approach for SDR determination in the Paraopeba River Basin (PRB), located at the central region of Minas Gerais State, Southeastern Brazil. The empirical model known as RUSLE, which stands for Revised Universal Loss Equation, was used embedded in a geographical information system (GIS) to estimate the soil erosion potential. Based on a monitoring network, considering the period between 1997 and 2008, the sediment transport was determined in five sub-basins of the PRB. The average water erosion for PRB was 2.7 ton ha 21 yr 21 , while the sediment transport varied from 0.25 to 1.63 ton ha 21 yr 21 . Considering the area and the slope as the independent variables, three empirical models were applied for estimating SDR. The results showed adequate fit for the proposed model, resulting in improvements for SDR estimates in PRB. On evaluating only sub-basins, the observed average SDR was 0.38, while the corresponding estimated value was 0.37. It was found that the three traditional equations did not generate acceptable results and this can be explained by the overestimation of SDR values for PRB.

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Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Sediment yield in Paraopeba River Basin – MG, Brazil

Durães

Mello

Beskow

2016

International Journal of River Basin Management

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“…As a result, changes in soil coverage, biomass and the hydrological regime in basins tend to occur, affecting the erosion process, as Lee and Lee (2010) and Mello et al (2015) have suggested, possibly causing alterations in the fluvial geomorphology (GUERRERO et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Water erosion vulnerability and sediment delivery rate in upper Iguaçu river basin – Paraná

Durães

Filho

Oliveira

2016

RBRH

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Soil erosion is one of the most striking environmental degradation processes, which its mapping and assessment is an important tool for management activities and natural resource management in river basins, allowing managers to implement policies and sustainable land use occupation. This work aimed to apply the Revised Universal Soil Loss Equation (RUSLE) in a GIS environment in the upper Iguaçu river basin, located at Paraná State, in order to assess the vulnerability to water erosion as well as the concentration of dissolved solids in suspension to estimate the solid discharge and sediment delivery rate, allowing the identification of more susceptible areas to water erosion. The results showed that over 23.52% of the upper Iguaçu river basin presented soil losses below 2.5 t ha -1 yr -1 , meaning current low potential for erosion. Regarding the solid discharge, the basin has values ranging from low to very high, also leading to high values for sediment delivery rate. The identification of risk areas associated with accelerated erosion, carried out in this study provide important information for measures associated with the management, conservation and planning of land use in the basin, which is highly relevant for predicting development of various scenarios for the state Paraná for its hydroelectric potential.Keywords: Soils; Geoprocessing; RUSLE. RESUMOA erosão do solo é um dos processos de degradação ambiental mais impactantes, no qual seu mapeamento e avaliação consiste em uma importante ferramenta para atividades de manejo e gestão dos recursos naturais em bacias hidrográficas, permitindo aos gestores implementar políticas de uso e ocupação do solo de forma sustentável. O presente trabalho teve por objetivo a aplicação da Equação Universal de Perda de Solo Revisada (RUSLE) em ambiente SIG, na Bacia Hidrográfica do Alto Rio Iguaçu (BHARI), localizada no Estado do Paraná / Brasil, afim de avaliar a vulnerabilidade à erosão hídrica bem como a concentração dos sólidos dissolvidos em suspensão para estimar a descarga solida e a taxa de aporte de sedimentos, permitindo identificar áreas mais suscetíveis à erosão hídrica. Os resultados mostraram que mais de 23,52% da BHARI apresentou perdas de solo abaixo de 2,5 t ha -1 ano -1, significando baixo potencial atual de erosão. Em relação a descarga sólida, a bacia apresentou valores variando de baixo a muito alta, levando também a elevados valores para a taxa de aporte de sedimentos. A identificação de áreas de risco associadas à erosão acelerada, realizadas neste estudo, fornecem subsídios importantes para medidas associadas ao manejo, conservação e planejamento do uso do solo nesta bacia, a qual é altamente relevante para predição de desenvolvimento de cenários variados para o Estado do Paraná por seu potencial hidroelétrico. Palavras

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“…The effect of soil erosion is very serious; it's not only in Indonesia, but in the other country such as in west China, leading to heavy sediment load in many rivers (Suo, 2004) and also in Southern Neka Basin in Iran (Solaimani et al, 2009). In their studies, Narioka et al (2001) concluded that the erosion degree in the area ranges from very slight to very severe, depending on land status, while Lee and Lee (2010) explained that the result of simulation depending on model selection and measurement accuracy. Erosion occurred slightly in the forestland, but it was severe in the dry lands with slope more than 15%.…”

Section: Introductionmentioning

confidence: 99%

Utilizing Geographic Information System for Prediction of Soil Erosion in Sono Sragen Catchment Area

Mukhlisin¹,

Sukoco²

2011

American Journal of Engineering and Applied Sciences

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Problem statement: Embung is a small dam created by manmade lakes and used to catch water during rainy season for an irrigation source. In Sragen area, Embung Sono is one of around twenty embung that used to catch rain water for irrigation. Soil erosions in catchment area are potential to reduce water capacity of the embung. Although many embung have been constructed in Sragen areas, the numbers of soil erosion in catchment area of embung are not well considered. Approach: Soil erosion in the Sono catchment area was analyzed using Geographic Information System (GIS) and Universal Soil Loss Equation (USLE) method. Results: The result showed that total number of soil erosion in the Sono catchment area is 63.50 ton/ha-year and categorized in moderate classified. Value of Sediment Delivery Ratio (SDR) for catchment was 0.34. Empirical equation proposed by Renfro, Vanoni and USDA were also used to analyze the SDR value. Conclusion: It was found that USDA is the best method that can be used to predict soil erosion in Sragen area. It means the crop management and environmental conservation in Sono catchment need to be improved.

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Determining the Sediment Delivery Ratio Using the Sediment-Rating Curve and a Geographic Information System–Embedded Soil Erosion Model on a Basin Scale

Cited by 21 publications

References 24 publications

Sediment yield in Paraopeba River Basin – MG, Brazil

Sediment yield in Paraopeba River Basin – MG, Brazil

Water erosion vulnerability and sediment delivery rate in upper Iguaçu river basin – Paraná

Utilizing Geographic Information System for Prediction of Soil Erosion in Sono Sragen Catchment Area

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