董东林, 李祥, 林刚, 卞建玲, 曹成龙, 吴恒. 突水水源的独立性权-模糊可变理论识别模型[J]. 煤田地质与勘探, 2019, 47(5): 48-53. DOI: 10.3969/j.issn.1001-1986.2019.05.007
引用本文: 董东林, 李祥, 林刚, 卞建玲, 曹成龙, 吴恒. 突水水源的独立性权-模糊可变理论识别模型[J]. 煤田地质与勘探, 2019, 47(5): 48-53. DOI: 10.3969/j.issn.1001-1986.2019.05.007
DONG Donglin, LI Xiang, LIN Gang, BIAN Jianling, CAO Chenglong, WU Heng. Identification model of the independence right-fuzzy variable theory of water inrush source[J]. COAL GEOLOGY & EXPLORATION, 2019, 47(5): 48-53. DOI: 10.3969/j.issn.1001-1986.2019.05.007
Citation: DONG Donglin, LI Xiang, LIN Gang, BIAN Jianling, CAO Chenglong, WU Heng. Identification model of the independence right-fuzzy variable theory of water inrush source[J]. COAL GEOLOGY & EXPLORATION, 2019, 47(5): 48-53. DOI: 10.3969/j.issn.1001-1986.2019.05.007

突水水源的独立性权-模糊可变理论识别模型

Identification model of the independence right-fuzzy variable theory of water inrush source

  • 摘要: 在煤矿开采过程中,矿井水害事故频繁发生。为快速准确地找出矿井突水水源,降低矿井突水给煤矿生产带来的危害,以赵各庄矿为例,运用独立性权系数与模糊可变理论相结合的方法,选取了Na+,Ca2+,Mg2+,Cl-,SO42-和HCO3-6种水化学指标,对赵各庄矿的20组水样数据进行分析计算。结果表明:独立性权系数-模糊可变理论模型排除了水样中各指标间冗余信息的影响,克服了水样各变量间权重难以确定以及变量对水质影响不均匀的问题,可在一定程度上保证突水水源识别模型的准确度;Cl-权重值远大于其他各项化学指标的权重值,即Cl-对突水水源的识别结果影响较大;采用本文所建模型判别赵各庄矿的8组测试水样,判别准确率达87.5%,表明该模型在矿井突水水源识别中具有重要参考价值。

     

    Abstract: In the process of coal mining, mine water hazard accidents occur frequently. In order to find out the water source of mine water inrush quickly and accurately, and reduce the harm caused by mine water inrush to coal mine production, taking Zhaogezhuang mine as an example, and the method of combining independent weight coefficient with fuzzy variable theory was used to select six kinds of hydrochemical indexes of Na+, Ca2+, Mg2+, Cl-, SO42- and HCO3-, 20 sets of water sample data of Zhaogezhuang mine were analyzed and calculated. The results showed that independence weight coefficient-fuzzy variable model eliminated the influence of redundant information among indexes in water samples, overcame the difficulty of determining the weight among variables in water samples and the uneven influence of variables on water quality, and ensured the accuracy of water inrush source identification model to a certain extent. The weight of Cl- was much larger than that of other chemical indexes, that means, Cl- had a great influence on the identification results of water inrush sources. This paper established a model to discriminate eight groups of water samples in Zhaogezhuang mine, the accuracy of the identification was 87.5%. It shows that the model has certain application value in identifying the source of mine water inrush.

     

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