摘要
通过建立多目标渠系优化配水模型,优化渠系配水过程,为新疆农业节水灌溉提供科学依据。以新疆五家渠灌区新东干渠作为研究对象,采用多目标粒子群优化算法以配水渠道的渗漏损失量最小,水流稳定为优化目标,建立多目标渠系优化配水模型,并与回溯搜索算法就配水时间和渗漏损失量进行比较。研究表明,多目标渠系优化配水模型能将配水时间从15 d缩短至约11 d,渠系配水量为71.58万m^(3),与回溯搜索算法相比,配水时间从14 d缩短至11 d,渗漏量减少了8.39万m^(3)。采用多目标粒子群优化算法对新疆五家渠灌区新东干渠进行配水过程优化,不但满足了优化目标,减少了渠系渗漏,缩短了配水时间,且比回溯算法更具有实用性。
By establishing a multi-objective canal system optimal water distribution model,the canal system water distribution process was optimised to provide a scientific basis for water-saving irrigation in Xinjiang agriculture.Taking the Xindong main canal in the Wujiaqu irri⁃gation district of Xinjiang Province as the research object,the multi-objective particle swarm optimisation algorithm was used to establish a multi-objective canal system optimization water distribution model with the optimisation objectives of minimum leakage loss and stable water flow in the distribution channel,and compared with the backtracking search algorithm with regard to the water distribution time and the amount of leakage loss.It was shown that the multi-objective canal optimisation distribution model was able to reduce the distribution time from 15 days to about 11 days with a canal distribution of 0.7158 million m^(3),which was a reduction in the distribution time from 14 days to 11 days and a reduction in seepage of 0.0839 million m3 when compared to the backtracking search algorithm.The multi-objective particle swarm optimisation algorithm was used to optimise the water distribution process of the Xindong main canal in Wujiaqu irrigation district of Xinjiang,which not only satisfied the optimisation objective,reduced canal leakage and shortened the distribution time,but also was more practical than the backtracking algorithm.
作者
李旭
乔长录
刘延雪
胡永旭
邵珠林
LI Xu;QIAO Chang-lu;LIU Yan-xue;HU Yong-xu;SHAO Zhu-lin(College of Water Conservancy&Architectural Engineering,Shihezi University,Shihezi 832000,Xinjiang,China;Key Laboratory of Cold and Arid Regions Eco-Hydraulic Engineering of Xinjiang Production&Construction Corps,shihezi 832000,Xinjiang,China;Sixth Division Water Conservancy Project Management Service Center,Wujiaqu 831300,Xinjiang,China)
出处
《中国农村水利水电》
北大核心
2024年第4期169-174,共6页
China Rural Water and Hydropower
基金
新疆生产建设兵团科技计划项目(2022DB024)
国家自然科学基金项目(52169005)。
关键词
五家渠灌区
多目标粒子群算法
优化配水
渠系优化
Wujiaqu irrigation district
MOPSO
optimal water distribution
canal system optimization