龙祖根, 韩真理, 李晓华, 周炳秋. 基于GIS的煤层瓦斯含量影响因素分析[J]. 煤矿安全, 2014, 45(11): 151-153.
    引用本文: 龙祖根, 韩真理, 李晓华, 周炳秋. 基于GIS的煤层瓦斯含量影响因素分析[J]. 煤矿安全, 2014, 45(11): 151-153.
    LONG Zugen, HAN Zhenli, LI Xiaohua, ZHOU Bingqiu. Influencing Factors Analysis of Coal Seam Gas Content Based on GIS[J]. Safety in Coal Mines, 2014, 45(11): 151-153.
    Citation: LONG Zugen, HAN Zhenli, LI Xiaohua, ZHOU Bingqiu. Influencing Factors Analysis of Coal Seam Gas Content Based on GIS[J]. Safety in Coal Mines, 2014, 45(11): 151-153.

    基于GIS的煤层瓦斯含量影响因素分析

    Influencing Factors Analysis of Coal Seam Gas Content Based on GIS

    • 摘要: 为了弥补常用的关联分析方法在分析具有空间分布特征的系统因素时,不直观,小样本容易产生偶然性等不足,通过利用地理信息系统(GIS)平台对系统关联分析方法进行优化,将关联分析从二维的点、线分析扩展到三维空间,从而弥补了线性回归和灰色关联等常用关联分析方法的不足。以煤层瓦斯含量为系统特征因素,以煤层埋深、煤层厚度及煤层顶底板20 m内泥岩厚度为关联因素进行了应用研究,分析结果表明:关联因素与煤层瓦斯含量关联度大小关系为煤层顶底板20 m内泥岩厚度>煤层埋深>煤层厚度,关联度分别为0.881、0.868、0.697,分析结果具有直观性和稳定性。

       

      Abstract: In order to make up for the deficiencies of commonly used association analysis methods used in the analysis of spatially distributed system factors, not intuitive and small sample easy to produce contingence, we optimize system correlation analysis method through the use of geographic information system (GIS) platform, and extend the correlation analysis from the two-dimensional point, line to three dimensional space, which make up for the deficiency of linear regression and correlation analysis of gray correlation and other commonly used methods. We carry on applied research by taking coal seam gas content as the system characteristic factors and the seam depth, seam thickness and mudstone thickness within 20 meters of coal seam roof and floor as the associated factors, the results showed that correlation relationship among factors associated with coal seam gas content is thickness of mudstone within 20 meters of coal seam roof and floor, the depth of coal seam, the thickness of coal seam; correlation degree is 0.881, 0.868, 0.697, respectively, and the results are intuitive and stability.

       

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