Landslide prediction method

Abstract

The invention discloses a landslide prediction method. The method comprises the steps of 1, collecting and calculating control factors; 2, collecting range and time information of a historical landslide area; 3, generating landslide curves according to the collected historical landslide area and control factors; 4, clustering the landslide curves to form one or more landslide models; 5, generatinglandslide curves for control factors of a prediction area, comparing the landslide curves with all the clustered landslide curves in the landslide models, and calculating the Euclidean distances between the centers of mass of the landslide curves of the prediction area and the center of mass of each clustered landslide curve; 6, obtaining a landslide probability-distance relationship curve according to the Euclidean distances; 7, obtaining a landslide probability curve according to the landslide probability-distance relationship curve. By means of the landslide prediction method, the technical problems of a prediction method with inner factor research as a main part for prediction and monitoring as a main part for forecasting in the prior art are solved.

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 ...

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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.

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