输水系统糙率率定方法研究

为系统研究输水渠道糙率率定方法,给出了有压输水系统、无压输水系统糙率不确定度计算公式,分析了影响糙率率定精度的关键因子。提出了基于神经网络模型和粒子群优化方法的糙率整定方法,并将该方法应用于南水北调中线工程漠道沟节制闸至唐河节制闸渠段的渠道糙率率定中。利用2016年9月—2017年8月的实时监测数据整定得到的渠段综合糙率为0.016 7。研究表明,粒子群优化方法具有很强的全局寻优能力,很适合于时变非线性系统的参数整定。

Study on method of roughness calibration for water conveyance system

In order to study the method of the roughness calibration for water conveyance channel，the formulas for calculating the uncertainties of the roughnesses of both the pressure water conveyance system and the open channel water conveyance system are given out，and then the key factors to affect the accuracy of the roughness calibration are analyzed. The neural network model and the particle swarm optimization-based roughness calibration method is put forward and applied to the roughness calibration of the channel section from Modaogou Check Gate to Tanghe Check Gate in the mid-route of the South-To-North Water Transfer Project. The comprehensive roughness of 0. 016 7 is obtained through the reconciliation of the real-time monitoring data from September 2016 to August 2017 for the channel section. The study result shows that the particle swarm optimization has strong global optimization ability and is quite suitable for parameter setting of the time-varying nonlinear system concerned.