Entropy-Based Flow and Sediment Routing in Data Deficit River Networks

Pooja Patel () and Arindam Sarkar ()
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Pooja Patel: IIT Bhubaneswar
Arindam Sarkar: IIT Bhubaneswar

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2022, vol. 36, issue 8, No 14, 2757-2777

Abstract: Abstract The reliable estimate of the sediment load and streamflow is essential for water resources and flood management. In this study, the entropy-based technique and HEC-RAS are used for flow routing followed by sediment routing in HEC-RAS. The paper’s novelty is its application to data-deficit river networks, where observed sediment load and flow on tributaries are absent. The proposed method accommodates the flow and sediment contribution from the tributaries to the downstream station on a reach, despite unavailable observed data on it. The adopted flow routing techniques are applied to predict downstream flow on three different reaches (on the Mahanadi and the Godavari River). The prediction accuracy is evaluated using three statistical indices ‒ Nash–Sutcliffe efficiency (NSE), relative error (RE), and Coefficient of determination (R2). Both flow routing techniques showed good performance for all three reaches (with or without tributaries), having NSE, R2 > 0.8, and RE 0.85, and RE

Keywords: Entropy; Flow routing; Sediment routing; Data deficit river network; HEC-RAS (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11269-022-03174-5

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