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采用单纯多边形进化算法对3个气候与流域条件各不相同的流域的新安江模型计算参数优化问题进行了研究.结果表明:对于没有误差的水文资料,采用单纯多边形进化算法,可以优化出新安江模型的全部参数并使参数收敛到真值;对于实测的水文资料,由于模型参数之间的共线性,固定参数B与EX,可同时率定模型其他参数,随着实测资料系列的增加,率定参数值将趋于稳定.
A simple polygon evolutionary algorithm was used to study the parameter optimization of Xin’anjiang model in three different climate and catchment watersheds. The results show that for the hydrological data without error, the simple polygon evolution algorithm can be used to optimize the Xin’anjiang For the measured hydrological data, due to the collinearity between the model parameters and the fixed parameters B and EX, other parameters of the model can be determined at the same time. As the measured data series increases, the rate of the data The value of the parameter will stabilize.