A method for generating landslide disaster risk zoning map

Abstract

The invention relates to a method for generating a landslide disaster risk zoning map, which belongs to the technical field of landslide risk prediction and early warning, and solves the problem of low accuracy of the existing landslide risk prediction method. The steps are as follows: identify the landslide disaster points and non-disaster stable areas in the study area, obtain the training set layer and the verification set layer; obtain and combine the geological-environmental factors related to multiple landslide hazards in the study area, and construct a multi-layer Geological-environmental factor data set; use the constructed data set as input variable, train the landslide risk prediction model with the training set layer as the dependent variable, use the constructed data set and verification set layer to verify the trained landslide risk prediction model, and get The verified landslide risk prediction model; input the constructed data set into the verified landslide risk prediction model, process and obtain the grid value of each grid in the study area, and based on the correspondence between the grid value and the risk level, Draw the landslide disaster risk zoning map of the study area.

Description

technical field [0001] The invention relates to the technical field of landslide risk prediction and early warning, in particular to a method for generating a landslide disaster risk zoning map. Background technique [0002] Landslides are currently one of the most common natural disasters, especially landslides induced by earthquakes and heavy rainfall, which have brought great harm to traffic and human production and life, and have become an important limiting factor affecting regional development. Therefore, the risk prediction of landslides and the drawing of landslide disaster risk zoning maps have important guiding significance for land use planning, urban and rural construction and road development, especially for disaster prevention and early warning of relevant local departments. [0003] The existing landslide disaster risk zoning map generation methods mainly include the following three types: [0004] First, based on the theoretical analysis of the relationship ...

AI Technical Summary

Problems solved by technology

The disadvantages of this method are: the weight coefficients determined by experts are highly subjective, and there are certain differences in the weight coefficients determined by different experts; at the same time, this method also has high cost, low efficiency, long cycle, small amount of data, and point-to-surface, etc. defect

The disadvantage of this method is: the evaluation system is not comprehensive, resulting in inaccurate prediction results

The advantage of this method is that it has high precision and reliability, but the disadvantage is that machine learning (including deep learning, etc.) algorithms require strong computing power; at the same time, when the existing methods determine the non-disaster stable area of ​​the training set, only consider The distance factor between it and the landslide disaster point is not considered, and the influence of dynamic factors such as slope is not considered, so the determination method of the training set is unreasonable

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