All Dataset and Model for 'THM Coupling Dynamics and Failure Mode Divergence in Cyclic Rainfall-Induced Shallow Landslides: Infrared Thermography Unravels Fracture Evolution and Structural Controls'

Extreme rainfall can trigger shallow landslides, which are sudden and highly destructive natural hazards. Understanding how these landslides occur and developing early warning systems is crucial for protecting communities and infrastructure. This research investigates the complex interactions between water, temperature, and soil movement during rainfall-induced landslides. By using physical experiments and advanced imaging technology, the study reveals how changes in water pressure, soil stress, and temperature can signal the onset of a landslide. Key findings include the identification of specific warning signs, such as rapid increases in soil stress, changes in water flow patterns, and temperature fluctuations. These insights help explain how landslides develop and provide valuable information for improving early warning systems. The research also highlights differences in landslide behavior depending on the type of soil and rainfall intensity, offering a better understanding of landslide mechanisms and their broader implications for safety and risk management.