基于傅里叶级数频率分解的汇流参数确定方法初探

Estimation of Concentration Parameters Based on Frequency Decomposition of Fourier Series

采用傅里叶级数频率分解特性将总径流包含的3种不同频率水源分离,构建了不同水源间参数独立且和频率相关的目标函数,通过理想模型的实例分析验证了该方法的可行性。结果表明,该方法信息量增加,实现了汇流参数分层分频率定,解决了汇流参数率定的局部优值、率定结果不稳定和不合理问题。

Frequency decomposition of Fourier series is applied to separate three kinds of runoff components with different flow frequency.Then the objective functions for different flow frequency and independent parameters are established.In order to prove the feasibility of the method,theoretic derivation and application analysis are conducted by using ideal model.The results demonstrate that the proposed method can increase amount of information,and it realizes that concentration parameters can be calibrated hierarchically.Thus,it solves the problem of concentration parameters calibration,such as local optimum,instability and unreasonable results.