人工蜂群优化算法驱动的常州河道水环境管理研究OA
Study on Changzhou river water environment management driven by artificial bee colony optimization algorithm
研究确定了水质网络监测设计规划目标,并在地理信息系统框架中设计并实施了基于多目标人工蜂群的优化算法.使用WorldQual模型进行污染物参数的估算,从而将监测站客观分配到没有实际测量的河流.使用该方法在江苏省常州市金坛区的河道水系进行了测试,发现本研究所提出的网络相对于当前的目标函数值提高了约33%～48%.此外,基于多目标人工蜂群优化方法为管理决策提供参考信息.
The research determined the design and planning objectives for water quality network monitoring,and designed and implemented an optimization algorithm based on multi-objective artificial bee colonies in the geographic information system framework.The WorldQual model was used to estimate pollutant parameters and objectively allocate monitoring stations to rivers without actual measurements.This method was tested in the river system of Jintan District,Changzhou City,Jiangsu Province,and it was found that the network proposed in this study has improved by about 33%to 48%compared to the current objective function value.In addition,the multi-objective artificial bee colony optimization method provides reference information for management decision-making.
何晓静;付梁其;纪海婷;汪姗;刘和宝
江苏省水文水资源勘测局常州分局,江苏常州 213002常州市水利规划设计院有限公司,江苏常州 213001
计算机与自动化
河道水环境WorldQual模型人工蜂群金坛区
river water environmentWorldQual modelartificial bee colonyJintan District
《江苏水利》 2024 (005)
27-30,36 / 5
江西省水利科学院开放研究基金项目(2022SKSG03)
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