Scheduling the Laterals of Shattulhilla River by Utilizing the Genetic Algorithm as Water Sustainability Technique

Document Type : Original Article

Authors
Ali H. Hommadi 1
Alaa A. Abass 1
Ali M. Al-Fawzy 2
Fadhil M. Al-Mohammed 3
Nadhir A. Al-Ansari 4
Hatem H. Hussien 5
1 National center of water resources management, Ministry of Water Resources, Iraq
2 Directorate of water resources in Karbala city, Ministry of Water Resources, Iraq
3 Technical institute of Karbala, Al-Furat Al-Awsat technical university, Iraq.
4 College of Engineering, University of Knowledge, Iraq
5 Directorate of water resources in Karbala city, Ministry of Water Resources, Iraq.
10.24271/psr.2024.188483
Abstract
Open channels are very important to deliver water from main sources to laterals especially for developing countries. Production is subjective by the way that the water is scheduled, and this scheduling is subject to several irrigation constraints. In open channel projects, for instance, maximum discharge of the laterals and main channels, depending on the size of their dimensions and the water requirements for fields. The current paper shows how efficient water scheduling, regarding the delivering water from the main channel to laterals in consequent time slots, can be done by utilizing a genetic algorithm optimisation technique. This research is intended to be applied for scheduling the Shattulhilla River in Babylon City and has broad applications for open channel projects in Iraq. The obtained results clarify how the genetic algorithm optimisation modelling is a sophisticated tool which operators of irrigation projects could now utilize to timetable open channels of irrigation systems.
Keywords
Open channel projects
Genetic Algorithm
Rationing
Water courses
Irrigation projects
Crossmark
Passer Journal of Basic and Applied Sciences
Volume 6, Special Issue
Proceedings of the 4th International Conference on Recent Innovation in Engineering ICRIE 2023, University of Duhok, College of Engineering, 13th – 14th September 2023
January 2024
Pages 84-93