现行洪水频率分析采用单变量分布曲线,应用Copula函数构造洪水联合分布时又未考虑历史洪水资料.本文将一维非连续序列的极大似然法扩展应用到二维联合分布的参数估计,建立了基于Copula函数的非连续序列洪水频率分析模型,并以长江三峡水库设计洪水为例,验证该模型的可行性和合理性.结果表明,所建模型合理可行,为多变量非连续序列设计洪水分析计算提供了一种新的方法. The current flood frequency analysis uses univariate distribution curve and the Copula function is used to construct the flood distribution without considering the historical flood data.In this paper, the maximum likelihood method of one-dimensional discontinuous sequences is extended to the parameter estimation of two-dimensional joint distribution and established The discontinuous series flood frequency analysis model based on Copula function is given and the feasibility and rationality of this model are validated by taking the design flood of the Three Gorges Reservoir in Yangtze River as an example.The results show that the proposed model is reasonable and feasible and can be used to design a multi-variable non- Analysis and calculation provides a new method.