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Investigating an empirical approach to predict sediment yield for a design storm: a multi-site multi-variable study

Author

Listed:
  • Ishan Sharma

    (Indian Institute of Technology Roorkee
    National Institute of Hydrology)

  • 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)

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.

Suggested Citation

  • Ishan Sharma & Surendra Kumar Mishra & Ashish Pandey & Henok Mekonnen Aragaw & Vijay P. Singh, 2024. "Investigating an empirical approach to predict sediment yield for a design storm: a multi-site multi-variable study," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(12), pages 32105-32135, December.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:12:d:10.1007_s10668-024-04832-x
    DOI: 10.1007/s10668-024-04832-x
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    References listed on IDEAS

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    1. Demetris Koutsoyiannis & George Baloutsos, 2000. "Analysis of a Long Record of Annual Maximum Rainfall in Athens, Greece, and Design Rainfall Inferences," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 22(1), pages 29-48, July.
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