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Optimal Design for Pressurized Irrigation Subunits with a Minimum Cost and Maximum Area for Uniformly Sloping Fields

机译:加压灌溉亚基的最佳设计,具有均匀成本和均匀倾斜场的最大区域

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摘要

The optimal design for pressurized irrigation subunits is a complicated problem that not only requires a confirmation of the layout but also requires a pipe diameter combination. Using a subunit with single lateral and a subunit with paired laterals as research objects, four mathematical optimization models were established to identify the optimal microirrigation subunit design. The optimization criteria were minimizing the annual total cost (C-T) and maximizing the subunit size (A); it was assumed that all the emitters have equal discharge, and only rectangular subunits were considered in this study. No allowable pressure differences allocation between the lateral and the manifold were made in this study, considering that there are many factors that affect the distribution ratio and the overall optimization of the subunit. A genetic algorithm was used to obtain the optimal design when simultaneously considering the layout and pipe diameters of the subunit. The results indicated that the investment cost (C-a) is the most important factor, and it makes up 43-66% of the C-T, followed by the water cost (C-w), which accounts for 28-49% of the C-T. A subunit with paired laterals is superior to a subunit with single lateral in terms of both the total cost and the control area. On the whole, with the increase in the lateral diameter, both the total cost and the control area will increase. With an increase in the emitter discharge, the total cost increases, while the control area decreases. The change of slope in the lateral direction has little effect on the total cost and control area. The method proposed in this study is applicable to the simultaneous optimization of the subunit in which the layout and area are undetermined, and it may provide a new path towards subunit optimization.
机译:加压灌溉亚基的最佳设计是一种复杂的问题,不仅需要确认布局,而且需要管道直径组合。使用具有单个横向和子单元的子单元以及作为研究对象的配对横向的子单元,建立了四种数学优化模型来识别最佳的微灌溉亚基设计。优化标准最小化年度总成本(C-T)并最大化亚基规模(a);假设所有发射器都具有相同的放电,并且在本研究中仅考虑了矩形亚基。在本研究中,没有允许横向和歧管之间的允许压力差异,考虑到存在影响分配比的因素和亚基的整体优化。遗传算法用于在同时考虑亚基的布局和管道直径时获得最佳设计。结果表明,投资成本(C-A)是最重要的因素,它占C-T的43-66%,其次是水成本(C-W),占C-T的28-49%。具有成对横向的亚基优于具有单个成本和控制区域的单个横向的亚基。总的来说,随着横向直径的增加,总成本和控制面积都会增加。随着发射极放电的增加,总成本增加,而控制面积降低。横向方向上的斜率的变化对总成本和控制区域几乎没有影响。本研究提出的方法适用于亚基的同时优化,其中布局和面积未确定,并且它可以为亚基优化提供新的路径。

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  • 来源
    《Water Resources Management》 |2019年第8期|2711-2726|共16页
  • 作者单位

    Northwest A&F Univ Coll Water Resources & Architectural Engn Key Lab Agr Soil & Water Engn Arid & Semiarid Are Minist Educ Weihui Rd 23 Yangling 712100 Shaanxi Peoples R China;

    Northwest A&F Univ Coll Water Resources & Architectural Engn Key Lab Agr Soil & Water Engn Arid & Semiarid Are Minist Educ Weihui Rd 23 Yangling 712100 Shaanxi Peoples R China;

    Northwest A&F Univ Coll Water Resources & Architectural Engn Key Lab Agr Soil & Water Engn Arid & Semiarid Are Minist Educ Weihui Rd 23 Yangling 712100 Shaanxi Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Microirrigation subunit; Optimization model; Annual cost; Subunit size;

    机译:微灌溉亚基;优化模型;年度成本;亚单位大小;

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