Genetic Algorithm Based Model for Optimal Selection of Open Channel Design Parameters

Aly K. Salem (), Yehya E. Imam, Ashraf H. Ghanem and Abdallah S. Bazaraa
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Aly K. Salem: Cairo University
Yehya E. Imam: Cairo University
Ashraf H. Ghanem: Cairo University
Abdallah S. Bazaraa: Cairo University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2022, vol. 36, issue 15, No 6, 5867-5896

Abstract: Abstract Open channels are one of the most used water conveyance systems for delivering water for different purposes. Existing models for the design of open channels mainly assume uniform flow, focus on cross-section sizing, and generally decouple cross-section sizing from the selection of channel alignment and profile. In this study, we developed an optimization model for a comprehensive design of transmission channels. The model minimizes the sum of costs for earthwork, lining, water losses, and land acquisition; accounts for non-uniform, mixed-regime flow; and considers multiple geometric and hydraulic constraints. The model was validated using several idealized scenarios. The model potential in minimizing the cost of real open channel projects was demonstrated through application to an existing irrigation water transmission canal in Egypt (the Sheikh Zayed Canal). The results of validation scenarios matched the anticipated outcomes for channel profile and alignment and reproduced analytical solutions given in the literature for channel cross-section design. Application of the model to the Sheikh Zayed Canal gave a more optimal design; the OCCD model produced a design alternative with ~27% less cost than the constructed alternative.

Keywords: Open channel design; Optimization; Genetic algorithm; Water supply; Gradually varied flow (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11269-022-03323-w

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