偏最小二乘回归分析法的突水水源判别模型

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中图分类号:TD745 文献标志码:A 文章编号:1672-9315(2025)04-0771-13

DOI:10. 13800/j. cnki. xakjdxxb. 2025.0413

Water inrush sourcediscriminationmodel based on PLS-DA algorithm

LI Ang', CHENG Xun',LV Luna1, DING Xuesong², JING Changsheng 3 , LIU Junliang³,GAO Zhesen1, FAN Liuyi1

(1.CollegeofArchitectureandCiilEngineeing,Xi’anUniversityofScienceandTechnologyXi’anOoChina; 2.WaterResourcesand Hydropower,Hohai University,Nanjing21oo24,China; 3.Pingdingshan Tian' an Coal Industry Co., Ltd., Pingdingshan 467Ooo, China)

Abstract:To address the issues such as the insufficient integration of current discrimination methods with actual mine water source databases,a constant ion database for mine water inrush sources was developed for Pingmei No.5 Mine using a combined Piper trilinear diagram,boxplot,and cluster analysis method,Additionally,based on Partial Least Squares Determinant Analysis (PLS-DA),a comprehensive prediction and discrimination technique for mine water inrush sources was proposed. Then,a MATLABbased software system was developed to quickly and accurately identify underground water sources.34 water samples from underground aquifers were selected as training samples ,among which 6 water samples were selected as testing samples,and the model was applied in working face of Pingmei No.5 coal mine.The results indicate that: The cumulative explanatory power of the model R2X(cum) reaches 99.96%,and the cross validation cumulative predictive power Q2(cum) is 73.7% The model accurately predicts the classification of sandstone water,Taihui water,and Cambrian water,The inrush water from the gob area is consistent with field observations.This study offers theoretical support for grout reinforcement and mining progress design in underground operations,providing a new quantitative approach for rapid and precise mine water inrush source identification.

Key words: water inrush source discrimination; water source database; PLS-DA algorithm; training samples

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随着煤矿深部工程的建设及资源开发,水害发生的频率和严重程度日益增加,不仅给井下作业人员生命安全带来巨大威胁,而且给矿山生产和对外供电带来严重影响[1]。(剩余16085字)

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