基于参数线性化率定法的HBV模型的优化算法及应用

Optimization Algorithm of HBV Model Based on Linearized Parameter Calibration and Its Application

针对以误差平方和最小为目标函数率定非线性函数参数会增加不相关局部优值的问题,提出了基于参数线性化率定法的HBV模型的优化算法,给出了该法的优化过程,并将其应用于大型(建溪)、中型(富水水库)、小型(对河口水库)流域中对日模拟中敏感性参数进行率定。结果表明,该方法率定效果较好,率定参数合理,与初值选取无关,率定结果基本一致,未出现不稳定现象,且循环次数少、精度高、适用范围广。

Taking minimization of error square sum as objective function, parameter calibration of nonlinear function may increase unrelated local optimal value. This paper proposes optimization algorithm of HBV model based on linearized parameter calibration, and gives the method implementation process. And then, the method is applied to calibrate sensi- tive parameters of daily simulation model. A case study is performed for large basin （Jianxi basin）, middle basin （Fushui reservoir） and small basin （Duihekou reservoir） respectively. The results show that the proposed method has some ad- vantages, such as good calibration effect, rationality, being independent of choosing initial value, reducing cycle num- bers, high accuracy, and wide range of application.