2010
DOI: 10.1007/s11269-010-9601-4
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Multi-Objective Planning Model for Large Scale Irrigation Systems: Method and Application

Abstract: An increase in demand, and droughts in recent years have resulted in the need for tools to allocate limited water between users in different regions in order to achieve economic, social and environmental benefits. Multi-objective planning is an important decision support tool for natural resource management. Planners, decision makers and stakeholders use this approach in the decision-making process. In this research, a multi-objective planning model was developed and applied on the Menemen Left Bank Irrigation… Show more

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Cited by 24 publications
(8 citation statements)
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“…This application also constitutes one of the main principles of water allocation by the rotation method. This process was carried out by use of the formulas given below (Kilic & Anac, 2010).…”
Section: Description Of the Main Modules In The Programmentioning
confidence: 99%
“…This application also constitutes one of the main principles of water allocation by the rotation method. This process was carried out by use of the formulas given below (Kilic & Anac, 2010).…”
Section: Description Of the Main Modules In The Programmentioning
confidence: 99%
“…These systems are built for uses such as agricultural irrigation, flood control and/or energy generation. In multi-objective reservoir systems, while hydropower is produced upstream, the water is used as irrigation for agricultural production downstream [1][2][3][4]. Because of this, water sources in a reservoir system are pivotal in ensuring food security and a stable energy supply.…”
Section: Introductionmentioning
confidence: 99%
“…Ma et al established a fuzzy linear programming model for the optimal allocation of multi-objective water resources (including reclaimed water) that can be used for the rational allocation of multi-water resources [16]. Kilic et al developed a multi-objective model for large-scale irrigation systems that increased production value by increasing irrigation areas and reducing water losses [17]. Eskandar et al proposed a new heuristic water cycle optimization algorithm that is based on the simulation of the water cycle process in nature, and has been used to solve water resource problems with multiple objectives and multiple constraints [18].…”
Section: Introductionmentioning
confidence: 99%