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Predicting the height of the water-conducting fractured zone using multiple regression analysis and GIS

机译：使用多元回归分析和GIS预测导水裂缝带的高度

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摘要

The water-conducting fractured zone induced by mining under aquifers is channels for water and sand inrushes. A method based on multiple regression analysis and a geographic information system (GIS) is proposed to predict the height of the water-conducting fractured zone in this paper. Five main indicators are found to control the height of the water-conducting fractured zone during fully mechanized caving mining under aquifers in which the thickness of the coal seam is more than 3 m: thickness of the coal seam, proportion of hard rock, length of the panel, mined depth and dip angle. The height of water-conducting fractured zone and the predictive variables from eighteen coal mines in China are investigated. Based on information entropy theory, a nonlinear multiple regression model and the weight of the indicators are considered, and the nonlinear multiple regression model is used in the GIS. Then, the approach is validated with a case study of the Xiegou Coalmine in the Shanxi province of China, in which the thickness of the coal seam which is under aquifers is more than 3 m. Error analysis of the approach is calculated with different hydrogeology classification. The results indicate that this model is a useful tool for predicting and analyzing the height of the water-conducting fractured zone, since the height of the water-conducting fractured zone can be quantitatively calculated and visualized.
机译：在含水层下开采引起的导水裂隙带是涌水和喷沙的通道。提出了一种基于多元回归分析和地理信息系统（GIS）的方法来预测导水裂隙带的高度。煤层厚度大于3 m的含水层下综放开采控制水导裂缝带的高度有五个主要指标：煤层厚度，硬岩比例，煤层长度。面板，开采深度和倾角。研究了中国18个煤矿导水裂隙带的高度及预测变量。基于信息熵理论，考虑了非线性多元回归模型和指标权重，并在GIS中采用了非线性多元回归模型。然后，以中国山西省谢沟煤矿为例，对该方法进行了验证，在该煤矿中，含水层下的煤层厚度超过3 m。该方法的误差分析是根据不同的水文地质分类来计算的。结果表明该模型是预测和分析导水裂缝带高度的有用工具，因为导水裂缝带的高度可以定量计算和可视化。

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  • 来源
    《Environmental Geology》 |2019年第14期|422.1-422.15|共15页
  • 作者

    Liu Yong; Yuan Shichong; Yang Binbin; Liu Jiawei; Ye Zhaoyong;

  • 作者单位

    China Univ Min & Technol, Sch Resources & Geosci, 1 Univ Rd, Xuzhou 221116, Jiangsu, Peoples R China;

    China Univ Min & Technol, Sch Resources & Geosci, 1 Univ Rd, Xuzhou 221116, Jiangsu, Peoples R China|North China Engn Invest Inst Co Ltd, 39 Huitong Rd, Shijiazhuang 050021, Hebei, Peoples R China;

    Xuchang Univ, Sch Civil Engn, 88 Bayi Rd, Xuchang 461000, Henan, Peoples R China|China Univ Min & Technol, Inst Mine Water Hazards Prevent & Controlling Tec, 1 Univ Rd, Xuzhou 221116, Jiangsu, Peoples R China;

    China Univ Min & Technol, Sch Resources & Geosci, 1 Univ Rd, Xuzhou 221116, Jiangsu, Peoples R China;

    China Univ Min & Technol, Sch Resources & Geosci, 1 Univ Rd, Xuzhou 221116, Jiangsu, Peoples R China|Shanxi Xishan Jinxing Energy Corp Ltd, Xiegou Coal Mine, Lvliang 033600, Shanxi, Peoples R China;

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

    Information entropy theory; Water-conducting fractured zone; Water and sand inrushes; Nonlinear multiple regression; Fully mechanized cave mining;

    机译：信息熵理论;水导裂区域;水和沙子涌出;非线性多元回归;齐全机械化洞穴挖掘;

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