Prediction method for rock landslide susceptibility in frozen-thawed zone of high-altitude mountainous area

Abstract

The invention discloses a prediction method for rock landslide susceptibility in a frozen-thawed zone of a high-altitude mountainous area. The prediction method solves the problem that in the prior art, long-term and real-time deformation data is obtained by relying on sensors additionally installed at specific sites of a slope to realize landslide prediction. According to the prediction method for rock landslide susceptibility in the frozen-thawed zone of the high-altitude mountainous area, based on surface air temperature data of a prediction place and an SAR image, a surface air temperaturechange period of the prediction place is divided according to the surface air temperature data, the time sequence-temperature data and time sequence-rock deformation quantity data at each stage of the change period are extracted, then the identified critical temperature index is used for determining a function relationship between the surface temperature change and the rock mass deformation, theaverage freezing temperature-rock deformation rate of the perdition place is calculated, finally, based on critical conditions of landslide generation, the degree of landslide susceptibility of the prediction place is judged, and the prediction of landslide susceptibility is realized. The prediction method solves the problem of landslide susceptibility prediction of a slope which does not have thecondition to implement sensor monitoring and early warning. The implementation cost is economic, and the perdition method is suitable for high-altitude areas.

Description

technical field [0001] The invention relates to a landslide susceptibility prediction method, in particular to a method and system for landslide hazard prediction in high-altitude mountainous areas, belonging to the fields of mountain disaster prevention and environmental management. Background technique [0002] Alpine landslides are a kind of mountain disasters. In addition to personal safety and property losses, their hazards are also very likely to cause immeasurable harm to the ecological environment of important river water sources. Therefore, its prediction and forecasting technology has become one of the research fields of mountain disaster prevention and control. one. In the field of alpine landslide prevention and control research, the freeze-thaw action of high-altitude mountainous rock mass caused by the snow line moving due to climate warming has made it difficult to discover giant landslide disasters in the mountain freeze-thaw zone between 2000m above sea leve...

AI Technical Summary

Problems solved by technology

If the Insar observation technology is used alone, the identified deformation area is huge and poorly targeted, and the effectiveness and operability of the early warning system used to guide risk avoidance are low.

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