Based on the idea that multi -measure combination can improve the accuracy of similarity analysis, multi -measure similarity analysis method was proposed for hydrological time series. Firstly, the similarity of time series was computed by several similarity measures, respectively. Then, the modified BORDA voting method was used to synthesize the similar time series of each similarity measure to obtain the final similar time series. The proposed method was validated by the analysis results of the flood data obtained from the Wangjiaba Station in the Huaihe River Basin.