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基于改进人工鱼群算法的灌区优化配水研究
杨 柳1, 汪 妮1, 解建仓,等1
西安理工大学 水利水电学院
摘要:
【目的】建立以灌溉净效益最大为目标的优化配水模型,为灌区优化配水提供新思路。【方法】以西安市周户灌区为研究对象,立足于寻求作物种植面积-水量-产量-经济效益之间的最优关系,建立以灌溉净效益最大为目标的优化配水模型,并利用混沌人工鱼群算法进行求解。【结果】利用所建立的以灌溉净效益最大为目标的优化配水模型进行优化后,灌区总供水量为12 711.44万m3,较常规配水量增加了1 402.67万m3,其中地表供水较常规配水量增加了1 510.67万m3,地下水供水量有所减少;通过作物不同时段分配水量及种植面积的协调,灌区净效益增加了16.37%,粮经比为1∶1.21。【结论】以灌溉净效益最大为目标对灌区配水进行优化后,灌区配水过程更加均匀,同时灌区作物种植结构也得以优化和调整。
关键词:  水资源管理  优化配水  混沌优化  人工鱼群算法  周户灌区
DOI:
分类号:
基金项目:国家自然科学基金项目(41471451,51479160,51209170)
Optimal water resources allocation in irrigated areas based on improved artificial fish swarm algorithm
YANG Liu,WANG Ni,XIE Jiancang,et al
Abstract:
【Objective】This study established an optimal allocation model for water resources with maximum net irrigation benefit to provide new ideas for water resources allocation in irrigated areas.【Method】Using the Zhouhu irrigated area as study object,a water resources optimal allocation model for irrigated area was built based on the optimal relationship among crop acreage-water-production economy.It was also solved using the chaotic artificial fish swarm algorithm.【Result】The total amount of irrigated water optimized by the established model was 12 711.44×104 m3,increased by 1 402.67×104 m3 compared to conventional water distribution amount.Surface water was increased by 1 510.67×104 m3 while underground available water was decreased slightly.Based on coordination between water quantity in different periods and acreages,irrigation net benefit was increased by 16.37% and the grain to economy ratio was 1∶1.21.【Conclusion】After optimal water resources allocation with maximum net irrigation benefit in Zhouhu irrigated area,water distribution process was more uniform.At the same time,crop planting structure was optimized and adjusted.
Key words:  water resources management  optimal water resources allocation  chaotic optimization  artificial fish swarm algorithm  Zhouhu irrigated area

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