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

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  • Pooja Patel

    (IIT Bhubaneswar)

  • Arindam Sarkar

    (IIT Bhubaneswar)

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

Suggested Citation

  • Pooja Patel & Arindam Sarkar, 2022. "Entropy-Based Flow and Sediment Routing in Data Deficit River Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(8), pages 2757-2777, June.
    • Handle: RePEc:spr:waterr:v:36:y:2022:i:8:d:10.1007_s11269-022-03174-5
    DOI: 10.1007/s11269-022-03174-5
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    References listed on IDEAS

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    1. Xiaoyan Bai & Wen Shen & Peng Wang & Xiaohong Chen & Yanhu He, 2020. "Response of Non-point Source Pollution Loads to Land Use Change under Different Precipitation Scenarios from a Future Perspective," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(13), pages 3987-4002, October.
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    Cited by:

    1. Hadi Norouzi & Jalal Bazargan, 2022. "Calculation of Water Depth during Flood in Rivers using Linear Muskingum Method and Particle Swarm Optimization (PSO) Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(11), pages 4343-4361, September.

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