| 河套灌区渠系优化配水模型应用研究 |
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| 引用本文： | 韩宇,邵梦璇,李彤姝,郭珊珊,孙志鹏,张明武.河套灌区渠系优化配水模型应用研究[J].排灌机械工程学报,2022,40(10):999-1006. |
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| 作者姓名： | 韩宇 邵梦璇 李彤姝 郭珊珊 孙志鹏 张明武 |
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| 作者单位： | 1. 中国农业大学水利与土木工程学院, 北京 100083;2. 北京师范大学水科学研究院, 北京 100875;3. 清华大学土木水利学院, 北京 100084;4. 黄河水利科学研究院, 河南 郑州 450003 |
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| 摘 要： | 优化渠系配水过程是缓解灌区水资源压力,实现农业高效节水的重要举措.以河套灌区总干渠、干渠两级渠系作为研究对象,将水流过渡平稳和渠道渗漏量最小作为优化目标,建立渠系优化配水模型,采用回溯搜索算法(BSA)、多目标粒子群算法(MOPSO)以及向量评估遗传算法(VEGA)进行求解.结果显示,BSA,MOPSO,VEGA这3种算法所求的配水时间分别为30.96,11.65,29.96 d;3种算法所得的阀门开启时间点的偏态系数分别为-0.048,0.068,0.566,表明BSA和MOPSO更能保证灌溉水在渠道运输中的稳定性.考虑渠首水位季节性变化对灌区引水时间产生的限制作用,BSA和MOPSO分别更适用于渠首引水量较少、充足的情况.考虑配水时间的集中程度以及干渠的地理位置分布,BSA和MOPSO更有利于实施分区管理措施.
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| 关 键 词： | 河套灌区 渠系配水 回溯搜索算法 多目标粒子群算法 向量评估遗传算法 |
| 收稿时间： | 2021-03-04 |
Study on the optimal water distribution model of canal system in Hetao irrigation district |
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| HAN Yu,SHAO Mengxuan,LI Tongshu,GUO Shanshan,SUN ZhiPeng,ZHANG Mingwu.Study on the optimal water distribution model of canal system in Hetao irrigation district[J].Journal of Drainage and Irrigation Machinery Engineering,2022,40(10):999-1006. |
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| Authors: | HAN Yu SHAO Mengxuan LI Tongshu GUO Shanshan SUN ZhiPeng ZHANG Mingwu |
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| Institution: | 1. College of Water Resource & Civil Engineering, China Agricultural University, Beijing 100083, China;2. College of Water Sciences, Beijing Normal University, Beijing 100875, China;3. School of Civil Engineering, Tsinghua University, Beijing 100084, China; 4. Yellow River Institute of Hydraulic Research, Zhengzhou, Henan 450003, China |
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| Abstract: | Optimizing the water distribution process of the canal system is an important measure to alleviate the pressure of water resources in the irrigation area and achieve efficient water saving in agriculture. A canal system optimization model is established by taking the general main canal and main canal system in Hetao irrigation district as the research object and taking the steady flow transition and the minimum water loss as two optimization objectives. The model is solved by backtracking search algorithm(BSA), multi-objective particle swarm optimization(MOPSO)and vector evaluation genetic algorithm(VEGA). The results show that the water distribution time of BSA, MOPSO and VEGA is 30.96, 11.65 and 29.96 d respectively, and the skewness coefficients of the valve opening time points are -0.048, 0.068 and 0.566, which means that BSA and MOPSO can guarantee the stability of irrigation water in the canal transportation. Considering the change of the water level at the head of the canal, BSA and MOPSO are applicable to the situation where the water intake of the canal head is less and sufficient respectively. Considering the concentration of water distribution time and the geographical distribution of main canals, BSA and MOPSO are conducive to the implementation of zoning management measures. |
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| Keywords: | Hetao irrigation district irrigation water distribution backtracking search algorithm multi-objective particle swarm optimization vector evaluation genetic algorithm |
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