Abstract: 【Objective】To address the challenges in preventing and controlling mass landslides triggered by typhoon-induced heavy rainfall in granitic regions, this study focuses on Beiliu City, Guangxi Province. By analyzing the spatio-temporal distribution characteristics of rainfall and the mechanisms triggering landslides during typhoon-induced heavy rainfall events, the study quantifies the rainfall kurtosis-skewness-peak location coefficient and classifies typhoon-induced heavy rainfall into three types: post-peak, pre-peak, and concentrated.【Methods】A regional slope stability evaluation method under heavy rainfall conditions was developed using the TRIGRS-Scoops3D coupled model. The method was validated using the “6.26” rainfall event in 2023 as an example.【Results】The results indicate that over 50% of the study area experienced stability degradation under rainfall conditions, with extremely unstable zones accounting for 5.73%. High-risk areas are concentrated in the northern, eastern, and southwestern steep slope terrain units. All landslide points induced by heavy rainfall are located within the warning zones delineated based on stability evaluation results. 【Conclusion】The results indicate that the typhoon-induced shallow landslide early warning method based on “rainfall pattern recognition-stability quantification assessment-dynamic delineation of risk areas” possesses high reliability and applicability. The research findings hold significant reference value for improving the emergency management system for landslide disasters in typhoon-prone regions.