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Application of cubic spline in soil erosion modeling from Narmada Watersheds, India

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Abstract

Soil erosion by water is ubiquitous, exhibits spatio-temporal variability, and is fundamental to determining sediment yield which is key to proper watershed management. In this study, we propose a relationship between the curve number and sediment yield index (SYI) using cubic splines. Using field data from four watersheds, the relation between observed and computed SYI is found to have a coefficient of determination (R2) value from 0.63 to 0.88 suggesting that such a relation can be used to determine SYI from the available CN value. It is found that cubic splines perform satisfactorily with Nash-Sutcliff efficiency ranging from 60.18 to 64.01%, absolute prediction error from 1.35 to 5.56%, integral square error from 1.21 to 5.82%, coefficient of correlation from 79.32 to 93.78%, and degree of agreement from 0.87 to 0.99%.

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Acknowledgements

The authors are thankful to the anonymous reviewers for their valuable suggestions and critical comments to improve the quality of this paper. The first author is thankful to UGC-New Delhi for providing financial support under the scheme of Dr. D.S. Kothari Postdoctoral Fellowship (DSKPDF).

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Authors and Affiliations

  1. Department of Mathematics and Computer Science, R.D. University, Jabalpur, M.P., India

    Sarita Gajbhiye Meshram, Pournima Laxman Powar & Chandrashekhar Meshram

  2. Department of Biological and Agricultural Engineering and Zachry Department of Civil Engineering, Texas A & M University, College Station, TX, 77843-2117, USA

    Vijay P. Singh

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  1. Sarita Gajbhiye Meshram
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  2. Pournima Laxman Powar
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  3. Vijay P. Singh
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  4. Chandrashekhar Meshram
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Correspondence to Sarita Gajbhiye Meshram.

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Meshram, S.G., Powar, P.L., Singh, V.P. et al. Application of cubic spline in soil erosion modeling from Narmada Watersheds, India. Arab J Geosci 11, 362 (2018). https://doi.org/10.1007/s12517-018-3699-8

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