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中文摘要：
为了解决以误差平方和为目标函数率定非线性函数参数会增加不相关的局部优值问题,包为民教授提出了非线性函数参数的线性化率定方法,本文对这一新方法进行了描述和分析,并将其应用于垂向混合产流模型参数的优选中。首先通过理想模型对该方法进行了验证,发现敏感参数皆可率定到真值,说明该方法可行。然后又采用该方法率定建阳流域基于实测资料的模型参数,率定和检验结果表明,同样可以率定出稳定的模型参数优值,而且收敛速度较快。因此线性化率定方法是一种有效的垂向混合产流模型参数优选方法。
英文摘要：
To solve the non-related local optimums problems in the traditional non-linear function parameter calibration method based on an objective function of minimum error square sum, the first author of this paper has developed a linearized calibration method. This paper describes and analyzes this method and presents an application to calibration of a vertically-mixed runoff model. First, it was validated through application to an ideal case, showing that all the sensitive parameters can reach the real values. Then, it was applied to calibration of the model parameters of the Jianyang basin using this basin＇s measured data. The calibration and verification results show that the stable and optimal parameters have been obtained and the method is fast in convergence. Thus, the linearized calibration method is an effective optimization for calibration of vertically-mixed runoff model parameters.
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