煤炭工程 ›› 2020, Vol. 52 ›› Issue (7): 126-130.doi: 10.11799/ce202007028

• 研究探讨 • 上一篇    下一篇

常量离子联合微量元素煤矿突水水源判别研究

李涛1,高颖1,郭亮亮2   

  1. 1. 六盘水师范学院
    2. 陕西省一八五煤田地质有限公司
  • 收稿日期:2019-08-01 修回日期:2020-02-11 出版日期:2020-07-15 发布日期:2020-08-21
  • 通讯作者: 李涛 E-mail:qazwdx521@163.com

Study on water source discrimination based on trace elements and constant ions in coal mine

  • Received:2019-08-01 Revised:2020-02-11 Online:2020-07-15 Published:2020-08-21

摘要: 针对煤矿突水水源判别困难问题,采用倒锥形取水装置在4个矿区3个含水层获取无污染水样61组,并进行了常量离子和44种微量元素含量测试。对测试结果进行相关性分析,提出了主要的突水水源判别特征指标,并建立了3个突水水源判别模型。研究结果表明:倒锥形取水装置能够高效获取无污染水样。研究区突水水源判别特征指标包括6个常量离子指标和14个特征微量元素指标。常量离子联合微量元素Bayes多类线性突水水源判别模型较其他模型更为准确,验证准确率达92.9%。为煤矿突水水源精准判别提供了新方法。

关键词: 突水水源, 微量元素, 水源判别, 常量离子

Abstract: In order to discrimina water inrush source of coal mine, 61 groups of non-polluted water samples had been gained by inverted cone water intake device from 3 aquifers in 4 coal area. And the water samples had been mensurated about routine water quality and 44 trace elements. The measurement results had been analyzed by relevance and key indicators were proposed, as well as 3 discrimination models. The results show that inverted cone water intake device can get non polluted water samples efficiently. 6 routine water quality and 14 trace elements are key indicators of water inrush source discrimination in study area coal mine. And water source discrimination Bayes model about characteristic trace elements corrected by conventional ion is more accurate than the others. Its accuracy of verification is 92.9%. The study provides a new direction about water source accurate discrimination of coal mine.

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