Earthquake area landslide susceptibility evaluation method

Abstract

The invention relates to earthquake disaster processing, and discloses an earthquake area landslide susceptibility evaluation method. The method comprises the following steps: 1, obtaining an earthquake landslide catalogue according to the difference between earthquake area pre-earthquake information and earthquake post-earthquake information; (2) selecting a landslide sample from the landslide catalogue, based on the landslide sample, adopting a single-class support vector machine model to obtain an initial earthquake landslide susceptibility index, normalizing the initial earthquake landslide susceptibility index into a probability index, and partitioning the landslide according to the probability index; (3) selecting non-landslide samples from the first landslide first easy-to-occur area and the first landslide second easy-to-occur area, and constructing a sample data set; and (4) based on the sample data set, obtaining landslide susceptibility indexes of the seismic region throughtwo support vector machine models, and partitioning the landslide by adopting a natural breakpoint method. The evaluation method can rapidly and accurately realize landslide easy-to-occur evaluation of the earthquake disaster area so as to provide a guidance basis for subsequent disaster emergency rescue, disaster monitoring and land planning.

Description

technical field [0001] The invention relates to earthquake disaster treatment, in particular to a landslide susceptibility evaluation method in an earthquake area. Background technique [0002] Rapid evaluation of landslide susceptibility in earthquake-affected areas is an important prerequisite for obtaining post-earthquake regional stability, and is the basic data for constructing post-earthquake disaster risk. Rapid and reliable evaluation of landslide susceptibility in post-earthquake areas, and the classification of landslide susceptibility levels according to the degree of earthquake disturbance have important guiding significance for emergency rescue, site planning, monitoring and prevention after earthquakes. [0003] At present, the evaluation of earthquake landslide susceptibility is mainly based on data statistical analysis methods. By collecting historical landslide information and related landslide impact factors, a statistical analysis model is established to r...

AI Technical Summary

Problems solved by technology

For earthquake events, landslide disasters induced by earthquakes have the characteristics of wide range, large number, and complex types. It is difficult for traditional landslide cataloging methods to quickly obtain landslide distribution information immediately after the earthquake.

At the same time, earthquake events are accompanied by severe weather conditions, which makes the availability of optical remote sensing images in earthquake-stricken areas low, and it is often difficult to obtain complete and reliable landslide cataloging information

Therefore, for earthquake landslides, due to the lack of complete and reliable landslide catalog information, it is difficult to quickly and accurately evaluate landslide susceptibility in earthquake-stricken areas, which seriously affects the reliability of post-earthquake rescue and land planning.

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