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Multi-Objective Planning Model for Large Scale Irrigation Systems: Method and Application

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  • Murat Kilic

    ()

  • Suer Anac

    ()

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 System of the Lower Gediz Basin in Turkey. The aims of the model were to increase the benefit from production, to increase the size of the total area irrigated, and to reduce the water losses occurring at network level. The model was applied to an open channel system consisting of 44 tertiary channels receiving water from three secondaries, serving an area of 3,606 ha. The model predicted a 20.63% increase in income, and a 29.26% decrease in the total irrigation water requirements of crops dependent on projected changes in the actual crop pattern of the research area. This decrease caused a reduction of 29.90% in expected water losses over the network as a whole. The operation of the model enabled optimum productivity and income at the system level per unit of land and water resources. Copyright Springer Science+Business Media B.V. 2010

Suggested Citation

  • Murat Kilic & Suer Anac, 2010. "Multi-Objective Planning Model for Large Scale Irrigation Systems: Method and Application," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(12), pages 3173-3194, September.
  • Handle: RePEc:spr:waterr:v:24:y:2010:i:12:p:3173-3194
    DOI: 10.1007/s11269-010-9601-4
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    References listed on IDEAS

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    1. Jesús Gastélum & Juan Valdés & Steven Stewart, 2009. "A Decision Support System to Improve Water Resources Management in the Conchos Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(8), pages 1519-1548, June.
    2. Muhammad Al-Zahrani & Abid Ahmad, 2004. "Stochastic Goal Programming Model for Optimal Blending of Desalinated Water with Groundwater," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 18(4), pages 339-352, August.
    3. Agha, Salah R., 2006. "Use of goal programming and integer programming for water quality management--A case study of Gaza Strip," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1991-1998, November.
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    Cited by:

    1. A. Ghumman & R. Khan & Q. Khan & Z. Khan, 2012. "Modeling for Various Design Options of a Canal System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2383-2395, June.
    2. Abbas Amini Fasakhodi & Seyed Nouri & Manouchehr Amini, 2010. "Water Resources Sustainability and Optimal Cropping Pattern in Farming Systems; A Multi-Objective Fractional Goal Programming Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(15), pages 4639-4657, December.
    3. Yi Xiao & Keith W. Hipel & Liping Fang, 2016. "Incorporating Water Demand Management into a Cooperative Water Allocation Framework," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(9), pages 2997-3012, July.
    4. Gaiqiang Yang & Mo Li & Lijuan Huo, 2019. "Decision Support System Based on Queuing Theory to Optimize Canal Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(12), pages 4367-4384, September.

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