| 引用本文: | 许翼飞,刘洪光,梅 华,等.加压滴灌系统灌水时间及轮灌组优化模型研究[J].灌溉排水学报,2023,42(11):83-89. |
| XU Yifei,LIU Hongguang,MEI Hua,et al.加压滴灌系统灌水时间及轮灌组优化模型研究[J].灌溉排水学报,2023,42(11):83-89. |
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| 摘要: |
| 【目的】探究加压滴灌系统灌水时间及轮灌组优化模型。【方法】通过水力解析的方法，分析轮灌制度参数与管网主要水力性能参数的关系，提出了灌水量偏差最小为目标的数学模型，考虑了灌水时间及轮灌周期约束、滴头压力约束以及轮灌组流量等约束，采用遗传算法求解模型。【结果】在同一工程案例中，与W1方案相比，W2、W3方案滴灌系统完成1次灌水过程灌水量偏差率分别降低27%、37%，缩短滴灌系统1次灌水延续时间约15、20 h，节约用电能耗15%、20%，提高水资源利用效率约14%、19%，减少作物生育期所水费80、111元/hm2，电费72~86、100~120元/hm2。【结论】基于传统滴灌工程设计采用加压滴灌系统灌水时间及轮灌组优化模型，可降低滴灌系统灌水量偏差率，缩短滴灌系统1次灌水延续时间，减少作物生育期水费和电费。 |
| 关键词: 加压滴灌；轮灌组；灌水均匀度；灌水量偏差率；灌水延续时间；遗传算法 |
| DOI：10.13522/j.cnki.ggps.2023160 |
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| An Optimization Model for Rotation Irrigation Groups and Irrigation Duration for Pressurized Drip Irrigation System |
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XU Yifei, LIU Hongguang, MEI Hua, LI Dan, LIU Xingshuang, CHANG Yurong, LI Yufang
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1. College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi 832000, China;
2. Key Laboratory of Modern Water-saving Irrigation of Xinjiang Production & Construction Group,
Shihezi University, Shihezi 832000, China; 3. Hydrological and Water Resources Management Center of the
Nine Division of Xinjiang Production and Construction Corps, Emin 834601, China
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| Abstract: |
| 【Objective】The pressurized drip irrigation system has extensive applications in diverse conditions. This paper proposes an optimization model for effectively scheduling irrigation and crop rotation within the pressurized drip irrigation system; it presents a comprehensive design framework and method to enhance performance and efficiency of drip irrigation systems.【Method】We used hydraulic analyses to elucidate the interplay between irrigation rotation system parameters and the critical hydraulic performance indicators within the pipeline network. A mathematical model was formulated with the objective of minimizing the variation in emitter irrigation amount while adhering to constraints such as irrigation timing, rotation intervals, emitter pressure, and irrigation rotation group flow rates. The model was solved using the genetic algorithm.【Result】Within the same project context, when compared to the W1, the drip irrigation system exhibited a significant reduction in the rate of irrigation water deviations, with reductions of 27% and 37% observed under the W2 and W3, respectively. Moreover, the duration of the drip irrigation system was shortened by approximately 15 and 20 hours, resulting in energy savings of 15% and 20%, an enhancement in water resource efficiency by about 14% and 19%, and cost reductions of 80 and 111 Yuan/hm2, and 72~86 and 100~120 Yuan/hm2, respectively, during the crop reproductive phase.【Conclusion】The optimization model for irrigation timing and rotation groups in pressurized drip irrigation systems can effectively reduce deviations in irrigation water, shorten the irrigation duration, save electricity and energy consumption, improve water resource utilization efficiency, and reduce water and electricity costs. It is promising for helping enhance overall performance and sustainability of drip irrigation systems. |
| Key words: pressurized drip irrigation; rotation irrigation group; irrigation uniformity; deviation rate of irrigation volume; irrigation duration; genetic algorithms |
