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针对利用传统矩法估计瞬时单位线参数时还原的洪水过程与实测洪水过程之间往往存在较大差异的问题,结合Copula函数与分布估计算法的优点,以实测地面径流与还原地面径流的加权残差绝对值之和最小为准则,采用Copula分布估计算法进行流域瞬时单位线的参数估计,这样既保证了算法的全局搜索能力,又充分考虑了参数间的相关关系。实例应用结果表明,利用Copula分布估计算法估计单位线,还原后的洪水过程与实测洪水过程的吻合度较传统的矩法高,特别是对于洪峰,优势更为明显。
Aiming at the problem that there is a big difference between the flood process and the measured flood process when using the traditional moment method to estimate the instantaneous unit line parameters and combining the advantages of the Copula function and the distribution estimation algorithm to measure the surface runoff and the weighted residual The sum of absolute difference is the minimum criterion. Copula distribution estimation algorithm is used to estimate the parameters of instantaneous unit lines in the watershed. This not only guarantees the global search ability of the algorithm, but also fully takes into account the correlation between the parameters. The results of practical application show that the Copula distribution estimation algorithm is used to estimate the unit line. The reconstructed flood process is more consistent with the measured flood process than the traditional method, especially for flood peak.