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基于MOSCDE算法的新安江模型参数率定

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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.
Parameter calibration of Xin'anjiang model based on MOSCDE algorithm
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.

Xin'anjiang modelmulti-objective culture shuffled complex differential evolution(MOSCDE algo-rithm)parameter calibrationGuanyang Hydrological Station

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桂林水文中心,广西 桂林 541100

新安江模型 MOSCDE算法 参数率定 灌阳水文站

2024

广西水利水电
广西水利电力勘测设计研究院

广西水利水电

影响因子:0.135
ISSN:1003-1510
年,卷(期):2024.(5)
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