Landslide hazard degree evaluation method under support of GIS (Geographic Information System) and artificial intelligence technology

Abstract

The present invention discloses a landslide hazard degree evaluation method under support of a GIS (Geographic Information System) and an artificial intelligence technology. The method comprises: acquiring knowledge about a relation between a landslide and a geographical environment by interviewing a landslide expert, and screening geographical environment factors according to conditions, such as a degree of influence of the geographical environment factors on the landslide, data source quality and an acquisition difficulty degree, in expert knowledge; extracting quantitative geographical environment factors by use of the GIS; expressing the expert knowledge about the relation between the landslide and the geographical environment factors by use of a fuzzy membership degree function, and constructing a fuzzy inference engine capable of calculating a landslide hazard degree value based on the geographical environment factors; and inputting the quantitative geographical environment factors into the fuzzy inference engine, and calculating spatial distribution of a regional landslide hazard degree. The method disclosed by the prevent invention effectively overcomes the defects such as high sample quality and quantity requirements, and poor interpretability and poor portability of a statistical method, improves precision and the detail level of landslide hazard degree spatial distribution speculation, and has extensive application prospects in the aspects of regional landslide hazard degree analysis and landslide disaster prevention and reduction.

Description

technical field [0001] The invention relates to a landslide risk evaluation method supported by GIS and artificial intelligence technology, and the technical application field is landslide risk evaluation and drawing. Background technique [0002] Landslide is a typical major natural geological disaster. In recent years, with the increasing depth and breadth of human activities, landslide disasters have been raging, causing great economic losses and casualties, which is not conducive to social stability and development. Identifying areas where landslides may occur in the future is an effective way to deal with landslide disasters, and it is also a key content in current landslide disaster research. Landslide risk refers to the possibility of landslides in a certain area under local terrain and other conditions. By mapping the landslide risk, identifying high-risk areas of landslides, and then implementing relevant measures in a targeted manner can effectively reduce the los...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is: to avoid the defects of existing statistical methods, and to provide a landslide risk evaluation method supported by GIS and artificial intelligence technology, the method utilizes high reliability and strong interpretability , Expert experience and knowledge that can reasonably describe the complex nonlinear relationship between landslide risk and geographical environment elements, build a fuzzy reasoning machine, make full use of existing RS, GIS technology and resources, and quickly and accurately generate digital forms of landslide risk space Distribute information to realize landslide hazard mapping

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