What is it about?
• Particle Swarm Optimization (PSO) algorithm is adopted for finding the optimal cross-section of irrigation canals with the objective of minimizing the overall costs. • The performance of the PSO algorithm has been compared with the Probabilistic Global Search Lausanne (PGSL) and also with the nonlinear optimization method used by previous researchers. • The model has been applied on El-Sheikh Gaber Canal, North Sinai Peninsula, Egypt. • Optimal design charts have been prepared and presented to facilitate the design of the minimum overall cost irrigation canal sections. • Other charts have been, also, presented to calculate the costs of earthwork and lining and water losses due to evaporation and seepage corresponding to several values of design discharges.
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Why is it important?
Optimal design charts, based on the obtained results, in terms of canal geometry were prepared and presented to facilitate the design of the minimum overall cost irrigation canal sections.
Perspectives
Writing this article was a great pleasure as it has co-authors with whom I have had long standing collaborations. This article also lead to a greater involvement in optimal designing of canal cross sections.
Dr. Hamdy Ahmed El-Ghandour
Mansoura University
Read the Original
This page is a summary of: Design of irrigation canals with minimum overall cost using particle swarm optimization – case study: El-sheikh Gaber canal, north Sinai Peninsula, Egypt, Journal of Hydroinformatics, June 2020, IWA Publishing,
DOI: 10.2166/hydro.2020.199.
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