In this paper, the Innovative Trend Methodology (ITM) and their inspired approaches, i.e., Double (D-ITM) and Triple (T-ITM), were combined with Hilbert Huang transform (HHT) time frequency-based method. The new hybrid methods (i.e., ITM-HHT, D-ITM-HHT, and T-ITM-HHT) were proposed and compared to the DWT-based methods in order to recommend the best method. Three total annual rainfall time series from 1920 to 2011 were selected from three hydrological basins in Northern Algeria. The new combined models (ITM-HHT, D-ITM-HHT, and T-ITM-HHT) revealed that the 1950–1975 period has significant wet episodes followed by a long-term drought observed in the western region of Northern Algeria, while Northeastern Algeria presented a wet period since 2001. The proposed approaches successfully detected, in a visible manner, hidden trends presented in the signals, which proves that the removal of some modes of variability from the original rainfall signals can increase the accuracy of the used approaches.

在本文中，创新趋势方法（ITM）及其启发方法，即双重（D-ITM）和三重（T-ITM），与希尔伯特黄变换（HHT）基于时间频率的方法相结合。提出了新的混合方法（即 ITM-HHT、D-ITM-HHT 和 T-ITM-HHT）并与基于 DWT 的方法进行比较，以推荐最佳方法。从阿尔及利亚北部的三个水文流域中选择了 1920 年至 2011 年的三个年总降雨时间序列。新的组合模型（ITM-HHT、D-ITM-HHT 和 T-ITM-HHT）显示，1950 年至 1975 年期间阿尔及利亚北部西部地区出现了显着的降雨，随后出现了长期干旱，而自 2001 年以来，阿尔及利亚东北部出现了一个潮湿时期。所提出的方法以可见的方式成功地检测到，