Research and Application of Multi Field Information Evolution and Data Mining in Progressive Landslide

Due to the low rainfall intensity, the water level of the reservoir rises, and the rise of the groundwater level of the landslide is affected by the rise of the water level of the reservoir. Therefore, the sliding shell immersed in the shell bears the hydrostatic pressure orthogonal to the sliding surface. The landslide is generally stable with no obvious deformation characteristics. However, with the increase of rainfall intensity and the decrease of reservoir water level, the groundwater level in the landslide is far lower than the reservoir water level, so the landslide is always affected by hydrodynamic pressure. After the reservoir water level drops for a period of time, the sliding surface is parallel to the convex slope. Heavy rainfall greatly reduces the stability and deformation characteristics of the landslide. For progressive landslide, the overall instability probability cannot reflect the development of internal failure of landslide. The geological characteristics of the planned landslide are introduced. By comparing the application of flexible protection and traditional landslide control methods, it is concluded that flexible protection and management are characterized by rapid construction, economy, safety and environmental protection. The feasibility and superiority of information evolution and data mining are verified according to the specific construction situation.