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Optimum Design and Operation of a Reservoir and Irrigation Network Considering Uncertainty of Hydrologic, Agronomic and Economic Factors

Author

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  • Hosein Sheibani

    (Shahid Beheshti University)

  • Hosein Alizadeh

    (Iran University of Science and Technology)

  • Mojtaba Shourian

    (Shahid Beheshti University)

Abstract

In this research, a reliability-based method for optimum design of the capacity and operation policy for a water resource system including a reservoir and the downstream irrigation network is presented in which important stochastic hydrological, agronomic and economic factors are considered. The developed model is applied for the Marboreh reservoir and the irrigation network in west of Iran in the form of a stochastic mathematical program with the objective function of maximizing the net benefit gained from the crops’ production limited to the hydrologic constraints associated with the reservoir and soil moisture of the plants’ root zone and the agronomic constraints related to the crops. The decision variables are design parameters of the reservoir capacity, irrigation network area and the crops pattern and the operation parameters which include reservoir operation policy, water allocation to the crops and the irrigation strategy. The uncertain factors considered are the inflow to the reservoir, the water demands, the crops yield, the price of crops and the production costs. Genetic algorithm is used as the optimization routine and a Monte-Carlo routine takes into account the effect of the stochastic outcomes of the uncertain factors. Results state the optimal capacity of 161.8 MCM for the reservoir, area of 31,304 ha for the irrigation network and a volumetric reliability of 72.1% in the neutral to risk condition. In the risky state, the network area is increased and the reservoir capacity and the reliability index are decreased while in the risk-averse state the results are vice versa.

Suggested Citation

  • Hosein Sheibani & Hosein Alizadeh & Mojtaba Shourian, 2019. "Optimum Design and Operation of a Reservoir and Irrigation Network Considering Uncertainty of Hydrologic, Agronomic and Economic Factors," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(2), pages 863-879, January.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:2:d:10.1007_s11269-018-2148-5
    DOI: 10.1007/s11269-018-2148-5
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    References listed on IDEAS

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    1. Ajay Singh, 2016. "Optimal Allocation of Resources for Increasing Farm Revenue under Hydrological Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(7), pages 2569-2580, May.
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    Cited by:

    1. Behrang Beiranvand & Parisa-Sadat Ashofteh, 2023. "A Systematic Review of Optimization of Dams Reservoir Operation Using the Meta-heuristic Algorithms," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(9), pages 3457-3526, July.
    2. Younes Aminpour & Nicola Lamaddalena & Eisa Maroufpoor, 2022. "Investigation of Infrastructural and Management Actions to Increase the Resilience of Existing Pressurized Irrigation Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 6073-6092, December.

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