Earthquake region landslide susceptibility evaluation method based on multi-modal classification

Abstract

The invention relates to an earthquake disaster risk assessment method, and discloses an earthquake region landslide susceptibility assessment method based on multi-modal classification, which comprises the following steps: (1) collecting and preprocessing landslide disaster-causing factor characteristic data, and combining related landslide disaster-causing factor characteristic data according to the intrinsic attribute difference of the landslide disaster-causing factor characteristic data to obtain a landslide risk assessment result; and obtaining different types of landslide disaster-causing factor modal data; (2) obtaining similarity graphs of various landslide disaster-causing factor modal data by adopting a random forest principle; (3) fusing similarity graphs of the various landslide disaster-causing factor modal data by adopting a nonlinear fusion method so as to generate a similarity fusion graph; and (4) obtaining a landslide sensitivity graph through a related classification algorithm on the basis of the similarity fusion graph so as to evaluate the earthquake region landslide susceptibility. According to the earthquake region landslide susceptibility evaluation method based on multi-modal classification, earthquake landslide risk evaluation can be rapidly and accurately realized.

Description

technical field [0001] The invention relates to an earthquake disaster risk assessment method, in particular to a multimodal classification-based landslide susceptibility assessment method in an earthquake zone. Background technique [0002] There are a large number of landslides triggered by earthquakes in the world every year, and these landslides have caused a large number of property losses and casualties. [0003] Landslide susceptibility mapping can effectively predict the regional distribution of potential landslides, and provide a useful reference for reducing losses caused by landslide disasters in earthquake areas. Therefore, research on improving the accuracy of landslide susceptibility mapping has great practical significance for post-earthquake rescue and planning. [0004] At present, landslide susceptibility mapping methods can be roughly divided into three categories: one is based on physical models, the other is based on knowledge-driven methods, and the th...

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Problems solved by technology

The physical model-based method requires detailed geotechnical and engineering geological data, which makes the mapping process complicated, time-consuming, and time-sensitive

The knowledge-driven method is a subjective and empirical research method based on experts' own understanding of landslide hazards and practical experience. Although this method is simple and efficient, it is subject to subjectivity due to the influence of expert experience. less than guaranteed

The data-driven method mainly uses statistical analysis methods to establish the statistical relationship between historical landslides and disaster-causing factors to evaluate the possibility of landslide disasters in the future, but the computational analysis models used in the statistical methods in the prior art are insufficient To accurately reflect the relationship between each hazard-causing factor and landslide hazards has greatly affected the reliability of landslide susceptibility mapping

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