Potential predictability of suspended sediment concentration in the data constrained regions of the Mahanadi River basin, Eastern India

Kar, Rohan; Sarkar, Arindam

doi:10.1080/15715124.2021.2016782

Cited by 4 publications

(1 citation statement)

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“…To the author's knowledge, currently, there are no previous studies conducted in the Mahanadi River Basin (MRB) that scientifically approximate the contribution of BL towards the total sediment yield of the basin. However, some recent studies have focused on modelling suspended sediment transport of the basin (Yadav and Satyanarayana, 2020;Yadav et al, 2021;Kar and Sarkar, 2022). At the same time, the declining trend of suspended sediment load across the basin and its related influences was reported (Bastia and Equeenuddin, 2016;Kar and Sarkar, 2021).…”

Section: Introductionmentioning

confidence: 99%

Assessment of the fraction of bed load concentration towards the sediment transport of a monsoon-dominated river basin of Eastern India

Kar

Sarkar

2023

J. Geogr. Sci.

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Given the challenges of re-creating complex bed load (BL) transport processes in rivers, models are preferred over gathering and examining field data. The highlight of the present research is to develop an approach to determine the ungauged bed load concentration (BLC u ) utilizing the measured suspended sediment concentration (SSC) and hydraulic variables of the last four decades for the Mahanadi River Basin. This technique employs shear stress and SSC equations for turbulent open channel flow. Besides, the predicted BLC u is correlated with SSC using a power relation to estimate BLC u on the river and tributaries. Eventually, different BL functions (BLF) efficiency is assessed across stations. The model predicted BLC u is comparable with the published data for sandy rivers and falls within ± 20%. Outliers in hydraulic and sedimentological statistics significantly influence estimating the BL fraction apart from higher relative ratios and catchment geology. The constants of power functions are physically linked to sediment transport configuration, mechanism, and inflow to the stream. The stream power-based BLF best predicts the BL transport, followed by shear stress and unit discharge approaches. The disparity in the estimation of BLC u results from station-specific physical factors, sampling data dispersion, and associated uncertainties.

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