摘要
为了将水文过程较好地模拟出来,需要对新安江模型参数进行率定,本文采用多目标文化混合复形差分进化算法(multi-objective culture shuffled complex differential evolution,简称MOSCDE)来优选参数,以灌江灌阳水文站为例,将洪峰目标、洪量目标和确定性目标这3个目标函数一起考虑进去,选出参数的最优解。结果表明,MOSCDE算法能够有效地优化率定出新安江模型各参数,模型率定期和检验期的模拟效果较好,为水文模型参数优化率定提供了一种较为有效的方法。
In order to simulate well the hydrological process,it is necessary to calibrate the parameters of Xin'anji⁃ang model.MOSCDE algorithm is used to optimize the parameters.Taking Guanyang Hydrological Station on Guan⁃jiang River as example,three objective functions of flood peak,flood volume and certainty are taken into account to select the optimal solution of the parameters.The results show that the MOSCDE algorithm permits effective optimi⁃zation and calibration of the parameters of Xin'anjiang model,with good simulation effects during the model calibra⁃tion and testing periods.
作者
莫金明
MO Jin-ming(Guilin Hydrology Center,Guilin 541100,China)
出处
《广西水利水电》
2024年第5期25-28,33,共5页
Guangxi Water Resources & Hydropower Engineering
关键词
新安江模型
MOSCDE算法
参数率定
灌阳水文站
Xin'anjiang model
multi-objective culture shuffled complex differential evolution(MOSCDE algo⁃rithm)
parameter calibration
Guanyang Hydrological Station