Water Practice and Technology (Sep 2023)

Modeling of water surface profile in non-prismatic compound channels

  • Vijay Kaushik,
  • Munendra Kumar,
  • Bandita Naik,
  • Abbas Parsaie

DOI
https://doi.org/10.2166/wpt.2023.142
Journal volume & issue
Vol. 18, no. 9
pp. 2151 – 2167

Abstract

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Estimating the water surface elevation of river systems is one of the most complicated tasks in formulating hydraulic models for flood control and floodplain management. Consequently, utilizing simulation models to calibrate and validate the experimental data is crucial. HEC-RAS is used to calibrate and verify the water surface profiles for various converging compound channels in this investigation. Based on experimental data for converging channels (θ = 5°, 9°, and 12.38°), two distinct flow regimes were evaluated for validation. The predicted water surface profiles for two relative depths (β = 0.25 and 0.30) follow the same variational pattern as the experimental findings and are slightly lower than the observed values. The MAPE for the simulated and experimental results is less than 3%, indicating the predicted HEC-RAS value performance and accuracy. Therefore, our findings imply that in the case of non-prismatic rivers, the proposed HEC-RAS models are reliable for predicting water surface profiles with a high generalization capacity and do not exhibit overtraining. However, the results demonstrated that numerous variables impacting the water surface profile should be carefully considered since this would increase the disparities between HEC-RAS and experimental data. HIGHLIGHTS In this article, research was conducted for the non-prismatic compound channel with converging floodplains, utilizing the HEC-RAS software.; The findings depict the HEC-RAS models are accurate for forecasting the water surface profile of non-prismatic rivers, have a high capacity for generalization, and do not display any signs of overexertion.; The usefulness of HEC-RAS tool for the design of flood control and diversion structures in the non-prismatic rivers.;

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