基于Fisher判别法和质心距理论的突水水源识别
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TD745

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安徽省高等学校省级自然科学研究重大项目(KJ2014ZD11);深部岩土力学与地下工程国家重点实验室开放基金(SKLGDUEK1313);安徽理工大学青年基金重点项目(QN2018112)


Identification of Water Inrush Source in Pan Three Mine Based on Fisher Discriminant Method
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    摘要:

    如何快速准确的判别矿井突水水源对煤矿安全开采来说是至关重要的。本文通过对张集矿水文地质资料的研究,并在此基础上根据不同含水层中水化学离子成分不同的特性,选用Ca2+,Mg2+,K++Na+,HCO3-,SO42-、CL-六大常规离子,且增加pH值和TDS共8个因素作为判别因子,基于Fisher判别法和质心距分析理论,利用SPSS软件,建立对张集矿突水水源判别的函数模型,并对随机抽取的8个水样进行判别分析。分析可得:因子分析对模型训练样本的建立具有一定的有效性;增加判别因子后,样本误判率降低,准确率从90.625%提高到96.875%;由于构造条件等因素的影响,待判水样存在一定的误差。因建立函数模型方法简单,且准确率较高,对突水水源类型的判别具有可行性。

    Abstract:

    water inrush is very important for the safe mining of coal mine. Based on the study of hydrogeological data of Zhangji Mine and according to the different characteristics of hydrochemical ions in different aquifers, six conventional ions, Ca2+, Mg2+, K+, Na+, HCO3- , SO42-, Cl-are selected. Eight factors including pH value and TDS are added as discriminant factors. Based on Fisher discriminant method and centroid distance analysis theory, water inrush from Zhangji Mine is established by SPSS software. The function model of water source discrimination was established, and the discriminant analysis of 8 water samples randomly sampled was carried out. It can be concluded that factor analysis is effective for the establishment of model training samples; with the increase of discriminant factors, the misjudgment rate of samples decreases, and the accuracy rate increases from 90.625% to 96.875%. Due to the influence of structural conditions and other factors, there are some errors in the water samples to be judged. Because the method of establishing function model is simple and accurate, it is feasible to distinguish the type of water inrush source.

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赵伟,刘启蒙,柴辉婵,等. 基于Fisher判别法和质心距理论的突水水源识别[J]. 科学技术与工程, 2020, 20(9): 3552-3556.
Zhao Wei, Liu Qimeng, Chai Huichan, et al. Identification of Water Inrush Source in Pan Three Mine Based on Fisher Discriminant Method[J]. Science Technology and Engineering,2020,20(9):3552-3556.

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  • 收稿日期:2019-06-25
  • 最后修改日期:2020-01-01
  • 录用日期:2019-09-26
  • 在线发布日期: 2020-05-14
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