Bivariate hydrological frequency distribution models are needed to understand different types of hydrological events. Traditional models have limitations like assuming variables have the same distributions or strict correlations. A new method called Copulas can handle complex relationships between variables without these restrictions. Copulas are flexible and can describe nonlinear correlations in hydrological data accurately.