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

A. Hommadi, Alaa A. Abass, A. Al-fawzy, F. Al-Mohammed, N. A. Al-ansari, Hatem H. Hussien
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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.
利用遗传算法作为水资源可持续性技术安排沙图勒希拉河的输水线路
明渠对于将水从干渠输送到支渠非常重要,尤其是在发展中国家。产量取决于水量调度方式,而水量调度又受到多种灌溉限制因素的制约。例如,在明渠工程中,渠道和干渠的最大排水量取决于其尺寸大小和田间需水量。本文介绍了如何利用遗传算法优化技术进行高效的水量调度,即在相应的时间段内从主渠道向侧渠输水。这项研究旨在应用于巴比伦市 Shattulhilla 河的水量调度,并广泛应用于伊拉克的明渠工程。研究结果阐明了遗传算法优化模型是一种先进的工具,灌溉工程的运营商现在可以利用它来制定灌溉系统明渠的时间表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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