A landslide prediction method

Abstract

The invention discloses a landslide prediction method, which includes: step 1, collecting and calculating control factors; step 2, collecting historical landslide area range and time information; step 3, generating landslide curves from the collected historical landslide areas and control factors; step 4, landslide curve is carried out clustering, forms more than a kind of landslide model; Step 5, the control factor of prediction area is generated landslide curve, compares with each landslide curve in the landslide model after clustering, calculates prediction area landslide The centroid of the curve and the Euclidean distance of the centroid of each landslide curve after clustering; Step 6, obtain the landslide probability-distance relationship curve according to the Euclidean distance; Step 7, obtain the landslide probability curve according to the landslide probability-distance relationship curve; solve the existing The technology adopts the technical problems existing in the internal cause research-based forecasting and monitoring-based forecasting and forecasting methods.

Description

Technical field: [0001] The invention belongs to landslide prediction technology, in particular to a landslide prediction method. Background technique: [0002] At present, landslide forecasting methods are basically divided into two categories: methods based on internal causes and methods based on detection. [0003] The methods based on internal cause analysis mainly include: engineering condition analysis, address condition analysis, rock and soil mechanics experiment, and mechanical model. Usually, a detailed off-the-shelf engineering geological survey is carried out first to establish a geological model; then samples are taken in the laboratory or on-site for mechanical tests to further establish a mechanical model; then, mechanical analysis is performed. [0004] The monitoring-based method is mainly to predict landslides by arranging sensors underground and returning deformation-time curves of landslide-prone bodies through sensors. However, this forecasting method ...

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a landslide prediction method to solve the problems of large workload and lack of universality of the model in the prior art based on internal cause research and the problems that the prediction method based on monitoring also has areas Limitations, often due to inaccurate sensor placement and insufficient layout density, lead to inaccurate monitoring data, forecasts that cannot meet expectations, and the sensors purchased with a large amount of funds are difficult to recycle and reuse.

Images