基于PCA-G1-ET的露天矿采场滑坡预警

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中图分类号：TD824.7 文献标志码：A

Abstract：The occurrenceof open-pit mine landslides is influenced by multiple factors such as geological conditions，meteorological conditions，and human miningactivities.However，existing studies focus onlandslide early warning under a few dominant inducing factors，without considering complex dynamic factors such as blasting vibration，excavationunloading，androck masstructure.Inscenarios with high-dimensional monitoring data，existing early warning methods have evident limitations in termsof general applicability.Toadress the above problems，this study proposedanearly warning method for open-pit mine landslides，integrating Principal Component Analysis （PCA），，G1-order RelationAnalysisMethod（G1），andExtension Theory（ET）.Firstly， monthlydisplacement，internal frictionangle，cohesion，efectiverainfall，watercontent，miningslopeangle， structural plane dipdifference，and miningdisturbancerate were selectedas earlywarning indicators.The early warning levels for open-pit mine landslides were classified into four levels： blue（lowrisk），yellw（general risk）， orange（highrisk），andred （extremelyhighrisk）.Secondly，PCAwasused toreduce thedimensionalityofthe monitoring datacorrsponding to the indicators，extract principal component information，and determine the comprehensive importance ranking of the indicators. Then， the Gl method was applied to determine the importance ratio between adjacent indicators and calculate the weights of the early warning indicators.Finally，an element model was constructed based on ET，and the single-indicator correlation degrees were calculated through clasical domain，segment domain element，and the elementrepresenting the objectunder evaluation，followed by weighted calculation of the comprehensive correlation degree.The early warning level was determined according to the maximum correlation degree principle. The application results showed that the early warning level of openpit mine landslide obtained by this method was blue， which was consistent with the actual slope condition.

Key words： open-pit mine landslide; landslide early warning；principal component analysis；Gl-orde1 relation analysis method; extension theory

0引言

露天矿采场作为矿产资源开采的核心区域，其边坡稳定性直接影响露天矿山生产接续性与安全性。（剩余11906字）