基于布谷鸟优化算法的灌区渠系输配水水量优化调控模型研究  

Study on Optimal Regulation Model of Water Supply and Distribution Quantity in Irrigation Canal System Based on Cuckoo Optimization Algorithm

作　　者：农翕智 李中安 靖争 叶晔 NONG Xizhi;LI Zhongan;JING Zheng;YE Ye(College of Civil Engineering and Architecture,Guangxi University,Nanning 530000,China;Changjiang River Scientific Research Institute,Wuhan 430010,China;Sino-Japan Friendship Centre for Environmental Protection,Beijing 100029,China)

机构地区：[1]广西大学土木建筑工程学院,广西南宁530000 [2]长江水利委员会长江科学院,湖北武汉430010 [3]中日友好环境保护中心,北京100029

出　　处：《人民珠江》2024年第6期55-64,共10页Pearl River

基　　金：广西科技基地和人才专项(桂科AD22035185);广西自然科学基金青年基金(2023GXNSFBA026296);国家自然科学基金(52309016);“一带一路”水与可持续发展科技基金面上项目(2022nkms06)。

摘　　要：渠系输配水渗漏损失和闸门调节的水力损失是灌区多级输供水系统水利用效率低下的主要原因,对灌渠输配水过程进行优化调控是实现农业高效节水的重要途径。以湖北省漳河灌区三干渠为研究对象,建立了多级渠系多因素综合影响下的灌渠优化配水模型,运用元启发式优化算法布谷鸟搜索算法进行模型求解。与实测配水过程相比,优化配水模型和常规配水模型的灌溉历时分别为13.2、13.5 d,减少45.00%、43.75%的配水时间,且配水流量过程均匀稳定,能有效减少闸门调节次数。采用布谷鸟算法(CS)、粒子群算法(PSO)和差分进化算法(DE)求解的优化配水模型和常规配水模型输水渗漏损失分别减少了27.22%、26.72%、27.06%和24.96%、23.90%、24.55%。布谷鸟算法能快速、高效、稳定地求解多维渠系输配水问题,为灌区渠系输配水水量优化调控模型构建和求解提供科学参考。The main influencing factors of low water-use efficiency in irrigation multistage water supply systems are the leakage loss and the hydraulic loss of gate adjustment during water supply and distribution in the irrigation canal system.Optimal regulation of the water supply and distribution process in irrigation canals is a critical approach to achieving efficient water saving in agriculture.This paper took the three trunk canals of Zhanghe Irrigation District in Hubei Province as the research object,established an optimal water distribution model for irrigation canals under the comprehensive influence of the multistage canal system and multiple factors,and used the meta-heuristic optimization algorithm,namely Cuckoo search algorithm to solve the model.compared with the measured water distribution process,the irrigation duration of the optimized water distribution model and the conventional water distribution model was 13.2 d and 13.5 d,respectively,and the water distribution time was reduced by 45.00%and 43.75%.The process of water distribution flow was stable,which could effectively reduce the adjustment times of the gate.The leakage loss of the optimal water distribution model and conventional water distribution model obtained by the cuckoo algorithm(CS),particle swarm optimization(PSO),and differential evolution(DE)was reduced by 27.22%,26.72%,and 27.06%,as well as 24.96%,23.90%,and 24.55%,respectively.The CS could solve the water supply and distribution problem in a multi-dimensional irrigation canal system quickly,efficiently,and stably.This study provides a scientific reference for constructing and solving the optimal regulation model of water supply and distribution quantity in the irrigation canal system.

关 键 词：输供水系统 水量调控 配水模型 智能优化算法 布谷鸟算法 

分 类 号：TV213[水利工程—水文学及水资源] S273[农业科学—农业水土工程]