Determination of Discharge Distribution in Meandering Compound Channels Using Machine Learning Techniques

Title

Determination of Discharge Distribution in Meandering Compound Channels Using Machine Learning Techniques

Creator

Mohanta A.; Pradhan A.; Patra K.C.

Description

Accurate flow rate prediction is essential to analyze flood control, sediment transport, riverbank protection, and so forth. The flow rate distribution becomes even more complicated in compound channels due to the momentum transfer between different subsections across the width of the channel. Conventional channel division methods estimate flow distribution at the main channel and floodplains by assuming a division line with zero apparent shear stress. The article attempts to develop a model to calculate the percentage of discharge in the main channel (%Qmc) using techniques such as Group Method of Data Handling - Neural Network (GMDH-NN) and gene-expression programming (GEP) by incorporating the effects of various geometric and hydraulic parameters. The paper proposes a modified channel division method with a variable-inclined interface, with zero apparent shear force distribution at the channel subsections according to the statistical indices employed to assess these models' performance in predicting %Qmc. This variable-inclined interface changes its slope according to the channel parameters. The model's effectiveness is verified by validating with experimental observations by conventional analytical methods. 2021 American Society of Civil Engineers.

Source

Journal of Irrigation and Drainage Engineering, Vol-148, No. 1

Date

2022-01-01

Publisher

American Society of Civil Engineers (ASCE)

Subject

Artificial intelligence techniques; Channel division; Discharge distribution; Meandering compound channel; Relative roughness; Shear force distribution

Coverage

Mohanta A., Dept. of Mechanical Engineering, Vellore Institute of Technology, Tamil Nadu, Vellore, 632014, India; Pradhan A., Dept. of Civil Engineering, School of Engineering and Technology, CHRIST (Deemed to Be Univ.), Karnataka, Bengaluru, 560029, India; Patra K.C., Dept. of Civil Engineering, NIT Rourkela, Odisha, Rourkela, 769008, India

Rights

Restricted Access

Relation

ISSN: 7339437

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.1061/(ASCE)IR.1943-4774.0001645

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