A catastrophe identification method for rainfall time series coupled sequential Mann-Kendall algorithm and Bernaola Galvan algorithm: a case study of the Qinglong River watershed, China
The identification of rainfall catastrophe characteristics is important for rainfall consistency testing in hydrostatistical analysis.In this study, a new classification method (trend, mean and change-rate catastrophe) was proposed and applied to the Qinglong River watershed, Northern China.Two groups of algorithms were compared to obtain the optim