| 引用本文: | 田桂林,苏 枫,邹 红,等.基于天牛群优化算法的灌区渠系配水研究[J].灌溉排水学报,0,():-. |
| tianguilin,sufeng,zouhong,et al.基于天牛群优化算法的灌区渠系配水研究[J].灌溉排水学报,0,():-. |
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| 摘要: |
| 【目的】科学合理的灌区渠系配水计划是推进农业节水化,建设节水型灌区的重要基础。为验证改进后的天牛群优化算法在渠系配水领域的科学性与适用性,【方法】本研究以2020年大功灌区某次灌水过程为基础数据,以西一干渠干、支两级渠系输水过程中渗漏损失水量为优化目标,各渠道运行时间及下级支渠输水流量为决策变量,构建渠系配水模型,采用天牛群优化算法进行模型优化求解,并与天牛须搜索算法、粒子群算法等求解结果进行对比分析。【结果】结果表明,采用天牛群优化算法求解得到的总配水量为391.85万m^3,渗漏总水量为22.87万m^3,配水总时间为7.30 d,相较于天牛须搜索算法计算的配水结果均有较大提升,与粒子群算法求解结果接近但天牛群优化算法得出的渠系配水方案更为合理。【结论】改进后的天牛群优化算法能够较好满足灌区渠系水资源优化配置要求,为灌区水资源管理提供新的配水方法与科学建议。 |
| 关键词: 灌区;渠系;优化配水;天牛群搜索算法;粒子群算法 |
| DOI： |
| 分类号:S274.3 |
| 基金项目:中国农业科学院农业科技创新工程现代节水型灌区建设与改造团队项目（CX0001-04-2021） |
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| Research on canal system water distribution based on the beetle swarm optimization algorithm of irrigation district |
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tianguilin1, sufeng2, zouhong3, lyumouchao1, shenjixian2, qinjingtao1, fanxichao1
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1.Farmland Irrigation Research Institute,CAAS;2.Yubei Water Conservancy Engineering Administration Bureau of Henan Province;3.Xinxiang Dagong Diversion Yellow Water Supply Co
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| Abstract: |
| 【Background】 A scientific and rational canal system water distribution plan for irrigation areas is an important foundation for promoting agricultural water conservation and building water-saving irrigation areas. 【Methods】 In order to verify the scientificity and applicability of the improved beetle swarm optimization algorithm in the field of canal system water distribution, this study took a certain irrigation process in Dagong Irrigation District in 2020 as the basic data, took the water loss from seepage during the water delivery process of the main and branch canals of the Xiyi main canal as the optimization objective, and the operating time of each channel and the water delivery flow of the lower branch canals were the decision variables. The canal system water distribution model was constructed, and the beetle swarm optimization algorithm was used to optimize and solve the model. The results were compared and analyzed with the results of the beetle antennae search algorithm and particle swarm algorithm. 【Results】 The results showed that the total water distribution volume calculated by beetle swarm optimization algorithm was 3918500 m^3, the total leakage water volume is 228700 m^3, and the total water distribution time is 7.30 d. Compared with the results of the water distribution calculated by the beetle antennae search algorithm, the results were greatly improved, and were close to the results obtained by the particle swarm algorithm, but the water distribution scheme of the canal system obtained by the beetle swarm optimization algorithm was more reasonable. 【Conclusion】 The improved beetle swarm optimization algorithm can better meet the requirements for optimal allocation of water resources in irrigation canal systems. It provides new water allocation methods and scientific suggestions for water resources management in irrigation areas. |
| Key words: Irrigation district; Canal system; Optimal water distribution; Beetle Swarm Optimization algorithm; Particle Swarm algorith |
