基于回归模型的断层构造复杂度分析
发布时间：2019-03-27 08:12
【摘要】：为了对矿区断层构造复杂度进行更加合理地评价,需要对断层多元信息进行综合分析。以徐州某煤矿为例,分析了断层的分形维数、落差及倾角等因素与矿井突水点涌水量的相关关系,建立断层信息与涌水量回归模型,通过Arc GIS强大的空间分析功能生成断层对突水影响函数等值线图。与单一依据分形维数的插值结果相比,利用辅助信息的回归插值模型能够克服断层分形维数不能表达垂向信息的缺点以及断层信息缺失情况下的断层构造复杂度难以评价,提高了断层构造复杂度评价精度。最后对断层构造复杂度等级进行划分,能有效预测矿井突水。
[Abstract]:In order to evaluate the complexity of fault structure more reasonably, it is necessary to analyze the multiple information of fault. Taking a coal mine in Xuzhou as an example, the correlation between the fractal dimension of fault, drop difference and dip angle and water inrush is analyzed, and a regression model between fault information and water inrush is established. Through the powerful spatial analysis function of Arc GIS, the contour diagram of the influence function of fault on water inrush is generated. Compared with the single interpolation result based on fractal dimension, the regression interpolation model based on auxiliary information can overcome the disadvantage that fault fractal dimension can not express vertical information and the complexity of fault structure in the absence of fault information is difficult to evaluate. The accuracy of fault structural complexity evaluation is improved. Finally, the classification of complexity of fault structure can be used to predict mine water inrush effectively.
【作者单位】： 中国矿业大学环境与测绘学院;安徽科技学院城建与环境学院;
【分类号】：TD163.1;TD745
本文编号：2448025
[Abstract]:In order to evaluate the complexity of fault structure more reasonably, it is necessary to analyze the multiple information of fault. Taking a coal mine in Xuzhou as an example, the correlation between the fractal dimension of fault, drop difference and dip angle and water inrush is analyzed, and a regression model between fault information and water inrush is established. Through the powerful spatial analysis function of Arc GIS, the contour diagram of the influence function of fault on water inrush is generated. Compared with the single interpolation result based on fractal dimension, the regression interpolation model based on auxiliary information can overcome the disadvantage that fault fractal dimension can not express vertical information and the complexity of fault structure in the absence of fault information is difficult to evaluate. The accuracy of fault structural complexity evaluation is improved. Finally, the classification of complexity of fault structure can be used to predict mine water inrush effectively.
【作者单位】： 中国矿业大学环境与测绘学院;安徽科技学院城建与环境学院;
【分类号】：TD163.1;TD745
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