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针对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的局部优值等问题,提出了参数线性化率定方法,并将其应用于HBV-IWS模型的日模拟和次洪参数优选中。首先通过日模拟理想模型的实例分析,发现参数均能收敛到真值,验证了该方法的可行性;然后对东张水库13年的实测日资料和18场洪水进行应用验证,结果表明,参数线性化率定方法在实际应用中是可行的、合理的,且寻找参数优值的速度较快;同时利用该方法率定敏感性参数,减少了率定所有参数带来的麻烦,提高了参数率定的效率,具有良好的应用前景。
In order to solve the problem that the minimum square of error sum is the objective function, the non-linear function parameter is determined to increase the irrelevant local merit and so on. The parameter linearization rate determination method is proposed and applied to the daily simulation and secondary flood parameters of HBV-IWS model Preferred. First, through the example analysis of the daily simulation ideal model, it is found that the parameters all converge to the true value, which verifies the feasibility of the method. Then, the application of the measured data and the 18 floods of the Dongzai Reservoir for 13 years shows that the parameters The linearization rate determination method is feasible and reasonable in practical application, and it is faster to find the optimal value of the parameter. At the same time, the method of determining the sensitivity parameter reduces the trouble of determining all the parameters and improves the parameters Rate of efficiency, has a good prospect.