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A multivariate matrix model of analysing mine water bursting and its application

机译:矿井突水分析的多元矩阵模型及其应用。

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摘要

Identifying mine water bursting sources accurately and quickly is the important condition of controlling mine water disasters. In the paper, seven hydrochemistry indexes: Mg2+, Ca2+, Na+ + K+, HCO3-, SO42-, Cl- and TDS were regarded as the evaluation indexes for identifying mine water bursting sources, combined with the importance of hydrochemistry index to water source's identification. Then, ternary mixture model was established based on 28 groups of water sample data collected in the Xinzhuangzi Coal Mine. Furthermore, to test the model's reliability, the model was used to identify the water bursting sources of six groups of water samples in Xuchang Coal Mine under the similar hydrogeological conditions in Xinzhuangzi Coal Mine. The results show that multivariate matrix model for identifying mine water-gushing sources is reliable and practical. Moreover, it can be applied to the actual engineering as well.
机译:准确,快速地识别矿井突水源头是控制矿井水害的重要条件。本文将Mg2 +,Ca2 +,Na ++ K +,HCO3-,SO42-,Cl-和TDS七个水化学指标作为识别矿井突水水源的评价指标,并结合水化学指标对水源识别的重要性。 。然后,根据辛庄子煤矿28组水样数据建立了三元混合模型。此外,为了验证模型的可靠性,该模型被用来识别在新庄子煤矿相似水文地质条件下许昌煤矿六组水样的突水源。结果表明,用于识别矿井涌水源的多元矩阵模型是可靠和实用的。而且,它也可以应用于实际工程。

著录项

  • 来源
    《Desalination and water treatment》 |2018年第8期|20-26|共7页
  • 作者单位

    China Univ Min & Technol, Sch Mines, Key Lab Deep Coal Resource Min, Minist Educ China, Xuzhou 221116, Jiangsu, Peoples R China;

    Shandong Energy Zibo Min Grp Co Ltd, Zibo 272175, Peoples R China;

    China Univ Min & Technol, Sch Mines, State Key Lab Coal Resources & Safe Min, Xuzhou 221116, Jiangsu, Peoples R China;

    Shandong Energy Zibo Min Grp Co Ltd, Zibo 272175, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    BP; Water chemistry; DDA; GA-SVM; Coal mine;

    机译:BP;水化学;DDA;GA-SVM;煤矿;

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