The major problem of furrow irrigation systems is their low efficiency resulting from weakness in design and irrigation management. Flow rate, furrow length and cut‐off time are the most important furrow irrigation design parameters that affect efficiency and irrigation management. Therefore, in this paper, it is attempted to provide optimal values of these parameters by optimizing them in a simulation–optimization framework. This is a combination of FURDEV (a module of SURDEV) and AMALGAM as a multi‐objective optimization algorithm developed in MATLAB. Here, maximizing the application and the water requirement (storage) efficiencies and minimizing the percolation and tail water ratios simultaneously were considered as the objectives. This framework was used for five open‐ended furrow irrigations with corn yield and loam soil texture. The results showed that the increase of 0 to 40.5% in the flow rate, from 23.2 to 66.9% during the furrow and 18.9% up to 11.9% at the cut‐off time, caused the application efficiency to increase by between 13.8 and 44.9%. Also, the water requirement efficiency increased by 14.2–76.8%, and the tail water ratio decreased significantly. It is shown that this framework plays an effective role in improving irrigation efficiency. © 2020 John Wiley & Sons, Ltd

中文翻译：

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具有多目标框架的模拟优化模型的开发，用于沟灌系统的自动设计

犁沟灌溉系统的主要问题是由于设计和灌溉管理薄弱而导致的低效率。流速，犁沟长度和截止时间是影响效率和灌溉管理的最重要的犁沟灌溉设计参数。因此，在本文中，尝试通过在仿真优化框架中对其进行优化来提供这些参数的最佳值。这是FURDEV（SURDEV的一个模块）和AMALGAM的组合，是在MATLAB中开发的多目标优化算法。在此，最大程度地提高应用和需水（存储）效率，同时最小化渗滤和尾水比被视为目标。该框架用于具有玉米产量和壤土质感的五次开放式沟灌。结果表明，流速提高了0％至40.5％，犁沟时从23.2％增加到66.9％，截止时从18.9％上升到11.9％，使施用效率提高了13.8％至44.9％。 。此外，需水效率提高了14.2–76.8％，尾水比显着下降。结果表明，该框架在提高灌溉效率方面发挥了有效作用。分级为4 +©2020 John Wiley＆Sons，Ltd 结果表明，该框架在提高灌溉效率方面发挥了有效作用。分级为4 +©2020 John Wiley＆Sons，Ltd 结果表明，该框架在提高灌溉效率方面发挥了有效作用。分级为4 +©2020 John Wiley＆Sons，Ltd