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The Optimum Design Criteria for On-demand Pressurized Microirrigation Network Systems: Optimizing Subunits with Paired Laterals based on the Maximum Size

Author

Listed:
  • Penghui Ma

    (Northwest A & F University)

  • Yajin Hu

    (Northwest A & F University)

  • Hansheng Liu

    (Northwest A & F University
    Northwest A & F University)

  • Yuannong Li

    (Northwest A & F University)

Abstract

A microirrigation network system is composed of a subunit and main pipeline network. Previous optimization studies generally focused on manifolds or lateral pipes in subunits or main pipeline networks and did not consider systems as a whole; thus, a true optimum was difficult to achieve. In this paper, a microirrigation network system is optimized as a whole, and an innovative approach is proposed to optimize the subunit based on a maximum size objective. Based on four optimization models of a subunit for two optimization objectives and two layout modes, this paper discusses the optimum design criteria for a microirrigation network system by using the lowest annual total cost per unit area of the system as a measurement index. Mathematical optimization models of the subunit and main pipeline network were established and solved with a genetic algorithm. The subunit was treated as a whole to avoid an artificial distribution for the allowable pressure difference between the laterals and manifold in the subunit. The Clément methodology was used to determine the flow rates of pipelines in the peak period of irrigation. The results indicated that the annual total cost per unit area of the microirrigation network system obtained based on the optimization results of subunit model SWPL-A was the lowest considering various parameters. The annual total cost per unit area of the microirrigation network system obtained based on the optimization results of the SWPL-A subunit model was 0.79–14.90%, 0.94–3.01% and 0.28–5.20% lower than the costs obtained based on the optimization results of the SWUL-F, SWPL-F and SWUL-A subunit models, respectively. The results of this paper have some practical significance for the optimization of on-demand pressurized microirrigation network systems and regional pipeline networks.

Suggested Citation

  • Penghui Ma & Yajin Hu & Hansheng Liu & Yuannong Li, 2020. "The Optimum Design Criteria for On-demand Pressurized Microirrigation Network Systems: Optimizing Subunits with Paired Laterals based on the Maximum Size," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(10), pages 3237-3255, August.
  • Handle: RePEc:spr:waterr:v:34:y:2020:i:10:d:10.1007_s11269-020-02610-8
    DOI: 10.1007/s11269-020-02610-8
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    References listed on IDEAS

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    1. Alandi, P. Planells & Alvarez, J.F. Ortega & Martin-Benito, J.M. Tarjuelo, 2007. "Optimization of irrigation water distribution networks, layout included," Agricultural Water Management, Elsevier, vol. 88(1-3), pages 110-118, March.
    2. Mohammad Masoumi & Bahram Sami Kashkooli & Mohammad Javad Monem & Hossein Montaseri, 2016. "Multi- Objective Optimal Design of on- Demand Pressurized Irrigation Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5051-5063, November.
    3. Shiono, Naoshi & Suzuki, Hisatoshi & Saruwatari, Yasufumi, 2019. "A dynamic programming approach for the pipe network layout problem," European Journal of Operational Research, Elsevier, vol. 277(1), pages 52-61.
    4. Li, Rongbo & Jiang, Zhiqiang & Ji, Changming & Li, Anqiang & Yu, Shan, 2018. "An improved risk-benefit collaborative grey target decision model and its application in the decision making of load adjustment schemes," Energy, Elsevier, vol. 156(C), pages 387-400.
    5. Jiang, Zhiqiang & Ji, Changming & Qin, Hui & Feng, Zhongkai, 2018. "Multi-stage progressive optimality algorithm and its application in energy storage operation chart optimization of cascade reservoirs," Energy, Elsevier, vol. 148(C), pages 309-323.
    6. Qin Tu & Hong Li & Xinkun Wang & Chao Chen, 2015. "Ant Colony Optimization for the Design of Small-Scale Irrigation Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(7), pages 2323-2339, May.
    7. F. Carrión & J. Montero & J. Tarjuelo & M. Moreno, 2014. "Design of Sprinkler Irrigation Subunit of Minimum Cost with Proper Operation. Application at Corn Crop in Spain," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(14), pages 5073-5089, November.
    8. Shishir Gaur & Apurve Dave & Anurag Gupta & Anurag Ohri & Didier Graillot & S. B. Dwivedi, 2018. "Application of Artificial Neural Networks for Identifying Optimal Groundwater Pumping and Piping Network Layout," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(15), pages 5067-5079, December.
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