Articles | Volume 22, issue 4
https://doi.org/10.5194/hess-22-2471-2018
https://doi.org/10.5194/hess-22-2471-2018
Research article
 | 
24 Apr 2018
Research article |  | 24 Apr 2018

Assessment of uncertainties in soil erosion and sediment yield estimates at ungauged basins: an application to the Garra River basin, India

Somil Swarnkar, Anshu Malini, Shivam Tripathi, and Rajiv Sinha

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Cited articles

Biesemans, J., Van Meirvenne, M., and Gabriels, D.: Extending the RUSLE with the Monte Carlo error propagation technique to predict long-term average off-site sediment accumulation, J. Soil Water Conservat., 55, 35–42, 2000. 
Boomer, K. B., Weller, D. E., and Jordan, T. E.: Empirical models based on the universal soil loss equation fail to predict sediment discharges from Chesapeake Bay catchments, J. Environ. Qual., 37, 79–89, 2008. 
Catari, G., Latron, J., and Gallart, F.: Assessing the sources of uncertainty associated with the calculation of rainfall kinetic energy and erosivity – application to the Upper Llobregat Basin, NE Spain, Hydrol. Earth Syst. Sci., 15, 679–688, https://doi.org/10.5194/hess-15-679-2011, 2011. 
De Vente, J., Poesen, J., Verstraeten, G., Van Rompaey, A., and Govers, G.: Spatially distributed modelling of soil erosion and sediment yield at regional scales in Spain, Glob. Planet. Change, 60, 393–415, 2008. 
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Short summary
Several rivers basins in the Ganga plains suffer from very high sediment production in their catchment and there are no good estimates of sediment yield from these basins due to a lack of gauge data. The RUSLE model offers an alternative approach and the same has been applied in a small basin in the Ganga plains. The study demonstrated the usefulness of the proposed methodology for quantifying uncertainty in soil erosion and sediment yield estimates at ungauged basins.