A landslide geological disaster probability prediction method based on topological relations of geomorphic space

By constructing a spatial topology structure of landslide geological elements and a multi-scale nesting strategy, the static zoning problem of geological hazard probability prediction in existing technologies has been solved, realizing dynamic collaborative prediction of landslide geological hazard probability, improving the stability and accuracy of prediction results, and enhancing the timeliness of geological hazard risk early warning.

CN122241095APending Publication Date: 2026-06-19HUBEI DAOZE GEOTECHNICAL ENG CO LTD +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HUBEI DAOZE GEOTECHNICAL ENG CO LTD
Filing Date
2026-03-20
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing technologies lack in-depth analysis of the topological relationships and geological evolution processes between geological structures in landslide geological hazard probability prediction. This results in predictions that are mostly static and zonal, making it difficult to reflect the continuity and dynamic changes between geological units. Furthermore, in complex landforms and areas with variable lithology, predictions are prone to boundary ambiguity and structural misjudgment, affecting the timeliness and reliability of geological hazard risk warnings.

Method used

By constructing a spatial topological structure of landslide geological elements, identifying topological faults and attribute discontinuities in the division of geological units, introducing a multi-scale nesting strategy, generating collaborative prediction instructions for landslide geological hazards, dynamically correcting topological conflict areas, and realizing dynamic collaborative prediction of geological hazard probabilities.

Benefits of technology

It enhances the sensitivity of geological disaster risk evolution monitoring, improves the synergistic response of prediction results to changes in geological processes, increases the stability and accuracy of prediction results, and enhances the timeliness and reliability of geological disaster risk early warning.

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Abstract

This invention relates to the field of geological information management technology, specifically to a method for predicting the probability of landslide geological hazards based on geomorphic spatial topological relationships. The method includes the following steps: constructing a spatial topological structure based on regional landslide lithology and slope morphology; coupling tectonic units with topographic evolution to extract features; identifying topological faults and attribute discontinuities and optimizing partitioning; introducing multi-scale nesting; correcting dynamic probabilities; determining convergence stability; and outputting a collaborative geological evolution convergence robustness indicator. In this invention, by fusing lithological and slope morphological information to establish a spatial topological structure, the coupling expression between geological units is strengthened, spatial partitioning and attribute consistency are optimized, and the stability and accuracy of prediction results in complex geomorphic areas are enhanced. Combined with evolutionary path consistency analysis and a topological conflict area reconstruction mechanism, dynamic correction of probability prediction and identification of evolutionary stages are achieved, improving the sensitivity of landslide risk monitoring and enhancing the collaborative response capability of prediction results to changes in landslide geomorphological processes.
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