Abstract
The sediment rating curve for Mahanadi River is rare to produce, so the sediment rating curve for three tributaries of size medium to large of the Mahanadi River is estimated. The various curves fitting technique has been applied to estimate the sediment rating curve. It is observed that the dataset does not show log-normal distribution due to the biased sampling of data so log-transferred linear fit cannot be applied to this rating curve. The Levenberg–Marquardt nonlinear and linear algorithm is applied to find out the coefficient of the model and it is found that a nonlinear power model includes the Levenberg–Marquardt algorithm was estimating most appropriate statistical solution of the problem. The long-term annual sediment load determined by nonlinear power model is found out to be consistent with previously published results.
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References
Asselman, N.E.M.: Fitting and interpretation of sediment rating curves. J. Hydrol. 234(3), 228–248 (2000)
Khanchoul, K., Boukhrissa, Z.E., Majour, H.: Statistical modelling of suspended sediment transport in the Cherf drainage basin, Algeria. Revue Marocaine des Sciences Agronomiques et Vétérinaires 1(1), 13–17 (2012)
Begam, S., Barbhuiya, A.K.: Estimation of sediment yield of Sonai River using sediment rating curve and geographic information system. Int. J. Adv. Res. 5(9), 994–1000 (2017)
Syvitski, J.P.: On the deposition of sediment within glacier-influenced fjords: oceanographic controls. Mar. Geol. 85(2–4), 301–329 (1989)
Ndomba, Preksedis M., Mtalo, Felix W., Killingtveit, Ånund: Developing an excellent sediment rating curve from one hydrological year sampling programme data: Approach. J. Urban Environ. Eng. 2, 21–27 (2008)
Central Water Commission, Government of India. www.cwc.gov.in
Mount, N.J., Abrahart, R.J.: Load or concentration, logged or unlogged? Addressing ten years of uncertainty in neural network suspended sediment prediction. Hydrol. Process. 25(20), 3144–3157 (2011)
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Acharya, P., Nath, T.K., Nimma, R.B. (2021). Sediment Rating Curve and Sediment Concentration Estimation for Mahanadi River. In: Udgata, S.K., Sethi, S., Srirama, S.N. (eds) Intelligent Systems. Lecture Notes in Networks and Systems, vol 185. Springer, Singapore. https://doi.org/10.1007/978-981-33-6081-5_9
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DOI: https://doi.org/10.1007/978-981-33-6081-5_9
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