基于RS、GIS及智能算法的渠系优化配水

发布时间：2018-06-16 21:25

  本文选题：渠系优化 + 智能算法　； 参考：《西北农林科技大学学报(自然科学版)》2017年04期

【摘要】：【目的】基于RS、GIS技术及智能算法,对灌区渠系优化配水工作进行研究,为提高灌区管理、制定配水计划提供科学依据。【方法】采用"组间续灌、组内轮灌"的工作方式,选择总配水时间最短与轮灌组之间引水持续时间差异值同时最小作为优化目标,以黑河中游甘肃省张掖市甘州区盈科灌区盈二支一分支为例,构建多目标渠系优化配水模型,并基于粒子群算法和蚁群算法对模型进行求解。【结果】成功构建了多目标渠系优化配水模型,以黑河中游张掖市甘州区盈科灌区5km×5km区域优化配水为实例的研究表明,采用多目标粒子群算法时的最大配水时间为113.6h,最小配水时间为105.3h,轮灌组引水时间差异为8.3h;采用多目标蚁群算法时的最大配水时间为113.5h,最小配水时间为105.3h,轮灌组引水时间差异为8.2h。解算的结果均低于人工制定的168h原配水计划。【结论】基于RS、GIS及智能算法解决渠系配水问题,不仅可以缩短轮灌周期,减少配水过程中的水量损失,还可保证配水精度,减少劳动力支出。
[Abstract]:[objective] based on RSGIs technology and intelligent algorithm, the optimal distribution of water in canal system of irrigation area was studied in order to provide scientific basis for improving the management of irrigation area and making water distribution plan. [methods] the working mode of "continuous irrigation between groups, rotation irrigation in group" was adopted. The shortest total water distribution time and the minimum water diversion duration difference between the rotation irrigation groups were selected as the optimization objectives. Taking the two branches of Yingke Irrigation District of Ganzhou District, Zhangye City, Gansu Province as an example, a multi-objective optimal water distribution model was constructed. The model was solved based on particle swarm optimization and ant colony algorithm. [results] the optimal water distribution model of multi-objective canal system was successfully constructed. The case study of the 5km 脳 5km area of Yingke irrigation district in Ganzhou district of middle reaches of Heihe River shows that the optimal distribution of water in the area of Yingke irrigation district in Ganzhou district of Heihe River is an example. The maximum water allocation time and minimum water allocation time were 113.6 h and 105.3 h, respectively, and the difference of water diversion time between rotation irrigation group and rotation irrigation group was 8.3 h, while the maximum water allocation time and minimum water allocation time were 113.5 h and 105.3 h in multi-objective ant colony algorithm, respectively, and the water diversion time difference of rotation irrigation group was 8.2 h. The maximum water distribution time was 113.5 h, the minimum water allocation time was 105.3 h, and the water diversion time of rotation irrigation group was 8.2 h. The results of calculation are lower than those of the original water distribution plan of 168h. [conclusion] solving the water distribution problem of canal system based on RSGIs and intelligent algorithm can not only shorten the cycle of rotation irrigation, reduce the water loss in the process of water distribution, but also ensure the water distribution accuracy. Reduce labor spending.
【作者单位】： 中国科学院东北地理与农业生态研究所;中国科学院大学;平顶山学院图书馆;郑州大学水利与环境学院;
【基金】：国家重点研发计划“全空间信息系统与智能设施管理”项目,“全空间信息系统建模理论”课题(2016YFB0502301) 河南省基础研究计划项目(152300410044)
【分类号】：S127;S274
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本文编号：2028161