Investigating an empirical approach to predict sediment yield for a design storm: a multi-site multi-variable study
Ishan Sharma (),
Surendra Kumar Mishra,
Ashish Pandey,
Henok Mekonnen Aragaw and
Vijay P. Singh
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Ishan Sharma: Indian Institute of Technology Roorkee
Surendra Kumar Mishra: Indian Institute of Technology Roorkee
Ashish Pandey: Indian Institute of Technology Roorkee
Henok Mekonnen Aragaw: Dilla University
Vijay P. Singh: Texas A&M University
Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2024, vol. 26, issue 12, No 90, 32105-32135
Abstract:
Abstract It is of common experience that the sizeable portion of sediment yield generated over a period in a catchment occurs largely due to only a few extreme storm events rather than the numerous small rain events, suggesting the vital role of rain duration besides its magnitude. This paper presents a novel empirical approach based on the Soil Conservation Service Curve Number equation and Universal Soil Loss Equation coupled with a sediment yield model to predict sediment yield resulting from a storm of a certain duration (t) and return period (T). To this end, an empirical relation relating potential erosion (A) with ‘T’ and ‘t’ is proposed and calibrated/validated using historical rainfall-runoff-sediment series data from ten Indian and 12 United States (US) watersheds, respectively. It is calibrated with a low nRMSE, high NSE, and very less PBIAS values in all the sub-watersheds (mean nRMSE ≤ 0.285, NSE ≥ 0.84 and PBIAS 0.91 and PBIAS ≤ ± 30%). Finally, a correlation between the calibrated empirical parameters of the proposed relation and the catchment characteristics was ascertained, which showed that the size and stream length influence these parameters more in large sub-watersheds, while slope and stream length influence more in small sub-watersheds.
Keywords: Sediment yield; USLE; SCS-CN; Soil erosion (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10668-024-04832-x
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