2019
DOI: 10.1007/978-3-030-23243-6_10
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Estimation of Erosion Susceptibility and Sediment Yield in Ephemeral Channel Using RUSLE and SDR Model: Tropical Plateau Fringe Region, India

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Cited by 18 publications
(15 citation statements)
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References 37 publications
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“…Classification of sub-watershed to erodibility using SWAT model. the five critical sub-basins that are most sensible to erosion due to presence of responsible morphometric parameters in line with the results of Bhattacharya et al (2020a). On the other hand, SWAT parameters helps to determine the significant role of morphometric parameters on ES in response to sediment yield deposition throughout the basin.…”
Section: Discussionsupporting
confidence: 74%
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“…Classification of sub-watershed to erodibility using SWAT model. the five critical sub-basins that are most sensible to erosion due to presence of responsible morphometric parameters in line with the results of Bhattacharya et al (2020a). On the other hand, SWAT parameters helps to determine the significant role of morphometric parameters on ES in response to sediment yield deposition throughout the basin.…”
Section: Discussionsupporting
confidence: 74%
“…4.3.2. Sediment yield analysis and its sub-basin prioritization Suspended sediment load and its movement in stream has entirely depended on several hydraulic variables like stream discharge, watershed slope, including flow and sediment regime characteristics (Sridhar et al, 2018;Bhattacharya et al, 2020a). Huge sediment load helps to accumulation of sediment yield at sub-basin level where SWAT model is applied to estimate the amount of yield following some considerable hydrological parameters (Welde, 2016).…”
Section: Sensitivity Calibration and Validation Analysis On Flow Dismentioning
confidence: 99%
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“…Mean R value consistently situated in the surface water body (718 MJ mm ha −1 h −1 year −1 ) and degraded forest (725 MJ mm ha −1 h −1 year −1 ) in Tables 4 and 6. Therefore, R value indicates that low land surface located under high rainfall intensity zone than plateau fringe and undulating topography following Mahala (2018); Bhattacharya et al (2020).…”
Section: Land Use and Land Cover Change Analysis Using Kappa Statisticmentioning
confidence: 99%