Abstract: Loudi City serves as an essential commodity grain production base in Hunan Province and is situated in the core area of the "Heng-Shao-Lou Drought Corridor", facing persistent impacts from various types of water shortages.In recent years, global climate change has intensified the complexity of water resource conditions in China, yet the spatiotemporal distribution of drought in Loudi City remains to be further elucidated.Based on meteorological data from five national basic meteorological stations in Loudi City from 1973 to 2022, a multi-scale drought index sequence set was established.The spatiotemporal distribution characteristics of multi-scale drought were investigated using the Innovative Trend Analysis (ITA) method and other methods.The results indicate that: ① The frequency of drought events decreases as the intensity grade increases, exhibiting significant temporal variations.Severe and extreme drought events are relatively rare but show concentration in specific years.On seasonal and inter-annual scales, the frequency of meteorological drought from lowest to highest follows the order of spring, winter, inter-annual, summer, and autumn; notably, extreme droughts occur only in summer, autumn, and inter-annual scales.② The time scales of drought trends vary across different meteorological stations.Xinhua Station tends toward aridity in winter; Shuangfeng Station shows drying trends across spring, autumn, winter, monthly, and inter-annual scales; Lengshuijiang Station trends toward aridity on monthly, spring, and winter scales; while Loudi Station exhibits drying trends on monthly, autumn, and winter scales.③ Overall, Loudi City exhibits a drying trend in spring, autumn, and winter, while a wetting trend is observed in summer.Drought trends on monthly and inter-annual scales show more complex spatial patterns, characterized by wetting in the western region and drying in the central and eastern regions.④ Compared with the Mann-Kendall test, the ITA method demonstrates higher sensitivity in identifying the tendencies of drought index sequences.These findings provide theoretical support for drought early warning and prevention in Loudi City.