Identification of potential barrier lake areas based on fuzzy frequency ratio and random forest and its application

By integrating fuzzy frequency ratio and random forest methods, landslide sensitivity and the possibility of river blockage are quantified, and an evaluation index system for landslide-dammed lake-prone areas is constructed. This solves the problem of inaccurate identification of landslide-dammed lake-prone areas in existing technologies and enables precise disaster prevention and control decisions in high mountain and canyon areas.

CN122132994APending Publication Date: 2026-06-02POWERCHINA BEIJING ENG CORP
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
POWERCHINA BEIJING ENG CORP
Filing Date
2026-02-10
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing technologies in landslide-river blockage disaster risk assessment, especially under complex geological conditions and special meteorological conditions, have shortcomings in the comprehensiveness and accuracy of the factors considered by the models, resulting in insufficient accuracy in identifying areas prone to landslide-dammed lakes.

Method used

By employing a method that integrates fuzzy frequency ratio and random forest, an evaluation index system for landslide-dammed lake-prone areas is constructed by dividing the evaluation units. This system quantifies landslide sensitivity and the likelihood of river blockage. Fuzzy logic and analytic hierarchy process are used to calculate weights, and a weighted overlay analysis is performed to identify landslide-dammed lake-prone areas.

Benefits of technology

It improves the accuracy and applicability of identifying landslide-dammed lake-prone areas, provides a precise tool for assessing the susceptibility of landslide-dammed lakes, and supports disaster prevention and control decisions in high mountain and canyon areas.

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Abstract

This invention relates to the field of landslide dammed lake emergency response technology, and discloses a method and application for identifying landslide dammed lake-prone areas by integrating fuzzy frequency ratio and random forest methods. The method includes: dividing the target area into evaluation units; constructing an evaluation index system for landslide dammed lake-prone areas of the target area based on a random forest model; calculating the landslide sensitivity weights of the evaluation indicators based on the fuzzy logic frequency ratio analysis method; calculating the river blockage probability weights of the evaluation indicators based on a judgment matrix; fusing the landslide sensitivity weights and river blockage probability weights of the evaluation indicators to determine the combined weights of the evaluation indicators; and extracting landslide dammed lake-prone area information based on weighted superposition analysis. This invention employs a fuzzy logic-based frequency ratio analysis method, analytic hierarchy process (AHP), and weighted superposition analysis method to obtain indicator weights, fully integrating the statistical correlation between evaluation indicators, expert experience, and decision-makers' personal preferences, thereby improving the accuracy of the landslide dammed lake-prone area evaluation model.
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