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Optimizing allocation and scheduling for irrigation systems -- Spatial/temporal optimization for center pivot irrigation systems.

机译:优化灌溉系统的分配和调度-中心枢纽灌溉系统的时空优化。

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摘要

In the wake of increasing environmental damage due to industrialized agriculture and growing food needs, precisely knowing when and where to irrigate how much water for maximum productivity with minimal liability is extremely critical. Optimizing irrigation, a highly context-specific problem, has been solved for decades at different levels (spatial/temporal levels of irrigation management). Yet, there is a potential for revolutionizing irrigation management by way of precision optimization.;Plant-water requirements change over space and time; water applied at one point in the field moves to another point over time; and physical constraints of irrigation systems restrict precisely addressing spatially/temporally varying plant-water requirements. A big leap in optimizing irrigation can be made if the spatial/temporal complexities associated with the phenomenon of irrigation are understood and modeled. Precise spatial/temporal complex (or spatimplex) models of irrigation procedures will result in more rigorous input information to optimization models and thus result in enhanced irrigation optimization strategies. Also, modern systems with precision irrigation capabilities such as variable-rate irrigation (VRI) center pivot systems are becoming increasingly available.;Current research on "Optimizing Allocation and Scheduling for Irrigation Systems (OASIS) -- Spatial/Temporal Optimization for Center Pivot Irrigation Systems(CP) -- OASIS-CP" puts forward the idea of optimizing irrigation management strategies based on spatimplex models of the CP. OASIS-CP generates optimal CP management strategies by way of a simple-bound constrained least-squares solution performed using spatimplex models of the CP. OASIS-CP solutions include the best speed for the moving CP boom and the best amount of irrigation water to be delivered by the CP sprinklers. The simple bounds in OASIS-CP optimization represent the physical constraints of the CP.;OASIS-CP is conceptualized, developed, and evaluated in five scenarios ranging from a most basic CP to a complex design. The goal of the five OASIS-CP scenarios is to provide incremental improvement design and operation choices for engineers and farmers. Results of the OASIS-CP research show promise for revolutionizing center pivot irrigation. The concept of OASIS-CP can be easily extended to ameliorate many other kinds of irrigation systems.
机译:随着工业化农业和不断增长的粮食需求对环境造成的破坏日益增加,准确地知道何时何地在何处灌溉多少水,从而以最小的责任获得最大的生产力。优化灌溉是一个高度因地制宜的问题,数十年来已在不同层次(灌溉管理的时空层次)上得到解决。然而,通过精确优化的方式,有可能彻底改变灌溉管理方式。随着时间的流逝,田间某一点施加的水会移动到另一点;灌溉系统的物理约束条件限制了精确满足空间/时间变化的植物水需求的压力。如果了解和建模与灌溉现象相关的时空复杂性,则可以在优化灌溉方面取得重大飞跃。精确的灌溉程序时空复杂模型(或Spatimplex)将为优化模型带来更严格的输入信息,从而增强灌溉优化策略。同样,具有精确灌溉功能的现代系统(例如可变速率灌溉(VRI)中心枢轴系统)也变得越来越可用。;当前对“优化灌溉系统的分配和计划(OASIS)-中心枢轴灌溉的时空优化”的研究Systems(CP)-OASIS-CP“提出了基于CP的spatimplex模型优化灌溉管理策略的想法。 OASIS-CP通过使用CP的spatimplex模型执行的简单约束最小二乘法生成最佳CP管理策略。 OASIS-CP解决方案包括移动CP吊杆的最佳速度和CP洒水喷头输送的最佳灌溉水量。 OASIS-CP优化中的简单界限代表了CP的物理约束。从最基本的CP到复杂的设计,OASIS-CP在五种情况下进行了概念化,开发和评估。五个OASIS-CP方案的目标是为工程师和农民提供递增的改进设计和操作选择。 OASIS-CP研究的结果显示出革命性的中心枢纽灌溉前景。 OASIS-CP的概念可以轻松扩展,以改善许多其他类型的灌溉系统。

著录项

  • 作者

    Manchikanti, Kiran.;

  • 作者单位

    The University of Wisconsin - Madison.;

  • 授予单位 The University of Wisconsin - Madison.;
  • 学科 Engineering Agricultural.;Engineering Civil.;Operations Research.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 175 p.
  • 总页数 175
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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