| Cite this article: | 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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| 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 |
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