Modeling of water surface profile in non-prismatic compound channels

IF 1.6 Q3 WATER RESOURCES Water Practice and Technology Pub Date : 2023-09-01 DOI:10.2166/wpt.2023.142
Vijay Kaushik, Munendra Kumar, Bandita Naik, Abbas Parsaie
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Abstract

Abstract 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.
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非棱柱形复合通道中水面剖面的模拟
摘要河流水系水面高程的估算是制定洪水控制和河漫滩管理水工模型中最复杂的任务之一。因此,利用仿真模型来校准和验证实验数据至关重要。在本研究中,利用HEC-RAS对各种会聚复合通道的水面剖面进行了标定和验证。基于收敛通道(θ = 5°,9°和12.38°)的实验数据,对两种不同的流动形式进行了评估以验证。两个相对深度(β = 0.25和0.30)的预测水面剖面遵循与实验结果相同的变化模式,且略低于观测值。模拟结果和实验结果的MAPE均小于3%,表明了预测HEC-RAS值的性能和准确性。因此,我们的研究结果表明,在非棱形河流的情况下,所提出的HEC-RAS模型对于预测水面剖面是可靠的,具有很高的泛化能力,并且不会出现过度训练。然而,结果表明,许多影响水面剖面的变量应该仔细考虑,因为这将增加HEC-RAS与实验数据之间的差异。
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来源期刊
CiteScore
2.30
自引率
6.20%
发文量
136
审稿时长
14 weeks
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