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主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
基于多元统计和混合模型的矿井涌水构成比例判别
  • Title

    Determination on compositions and proportions of inrushed mine water based on multivariate statistics and mixed model

  • 作者

    曹思文刘源武亚遵王雪奇

  • Author

    CAO Siwen;LIU Yuan;WU Yazun;WANG Xueqi

  • 单位

    兖矿能源集团股份有限公司杨村煤矿河南理工大学资源环境学院

  • Organization
    Yangcun Coal Mine, Yankuang Energy Group Company Limited
    School of Resources and Environment, Henan Polytechnic University
  • 摘要
    为了快速有效地判别涌(突)水水源,以杨村煤矿为研究实例,在分析矿井充水水源的基础上,在四个主要充水含水层中选定56个学习样本,采用Piper三线图剔除异常样本后保留52个典型样本,并选取HCO-3、SO2-4、Cl-、Na++K+、Mg2+和Ca2+六大常规离子作为判别指标,应用多元统计学中的Bayes逐步判别分析法建立矿井突水水源判别模型,Bayes判别模型对样本总体分类的准确率达到了91.06%,为有效地识别混合水水源构成比例奠定了基础,而后结合“M3”质量平衡理论建立了混合模型并确定了矿井涌水的构成比例。结果显示:受充水含水层特性及影响程度制约,前期矿井涌水构成中砂岩水含量较高,具体为奥灰水占15.2%,十下灰水占20.68%,3煤顶板砂岩水占48.28%,十三-十四灰水占15.85%。随时间的推移十三-十四灰水、奥灰水比例逐渐增大,其中奥灰水占23.65%,十下灰水占10.8%,3煤顶板砂岩水占26.73%,十三-十四灰水占38.83%。这与矿井前期主要回采五采区3号煤,后期逐步开采下组煤的情况相一致,表明该方法较符合生产实际。从整体上来看杨村煤矿矿井涌水中奥灰水占17.5%,十下灰水占19.86%,3煤顶板砂岩水占36.43%,十三-十四灰水占26.21%,表明当前矿井涌水以3号煤回采区的顶板砂岩水和下组煤回采区的十三-十四灰水为主,这为今后矿井防治水工作的开展提供了依据。
  • Abstract
    To rapidly and effectively determine of mine inrush water sources, taking Yangcun Coal Mine as a research example, and based on the analysis of mine water filling source, study samples are selected in four major recharge aquifers, and typical samples are retained after removing abnormal samples according to Piper’ s trilinear chart. Selection of six conventional ions as discriminators which are HCO 、SO 、Cl 、Na +K 、Mg and Ca , and Bayes stepwise discriminant analysis method in multivariate statistics is used to establish the discriminant model of mine water inrush source. The accuracy of Bayes discriminant model for the overall classification of samples reaches 91. 06%. It lays a foundation for effective determination of the proportion of mixed water source composition. Afterwards, a mixing model is developed with the “M3” mass balance theory and the composition of the mine water influx is determined. The results indicate that: restricted by the characteristics and influence degree of the water-filled aquifer, the sandstone water content in the early mine water inrush composition is higher, specifically, the Ordovician limestone water accounts for 15. 2%, the No. 10lower limestone water accounts for 20. 68%, No. 3 coal roof sandstone water accounts for 48. 28%, and No. 13 - 14 limestone water accounts for 15. 85%. With the passage of time, the proportion of No. 13- 14 limestone water and Ordovician limestone water gradually increase, among which Ordovician limestone water accounts for 23. 65%, No. 10lower limestone water accounts for 10. 8%, No. 3 coal roof sandstone water accounts for 26. 73%, No. 13 - 14 limestone water is 38. 83%. This is consistent with the situation of No. 3 coal in fifth recovery area in early mining stage, and lower formation coal group gradually mined in later stage, and indicates that the method is more in line with the actual production. On the whole, the Ordovician limestone water accounts for 17. 5%, the No. 10lower limestone water accounts for 19. 86%, No. 3 coal roof sandstone water accounts for 36. 43%, and No. 13- 14 limestone water accounts for 26. 21%. It shows that the current mine inrush water is mainly roof sandstone water in No. 3 recovery area and No. 13-14 limestone water in lower formation recovery area, which provides a basis for the future development of water control in the mine.
  • 关键词

    涌水来源Bayes模型混合模型比例判别质量平衡理论

  • KeyWords

    water inrush sources;Bayes model;mixed model;proportion determination;mass balance theory

  • 基金项目(Foundation)
    国家自然科学基金项目(42271041)
  • DOI
  • 引用格式
    曹思文,刘源,武亚遵,等.基于多元统计和混合模型的矿井涌水构成比例判别[J].煤炭工程,2024,56(12):133-139.
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