基于GIS复合分析的煤矿顶板水害预测研究

在煤层项板水地质信息少且项板突水规律不明的情况下，结合实例分析了影响项板突水的主要因素．应用分维理论对影响顶板突水的褶曲、断层构造因素实施量化并用于复合分析．在ArcGIS软件中，首先将褶曲、断层的分维值和顶板冒裂带内砂质岩层的厚度栅格化；然后应用地理信息系统(GIS)的多元信息复合分析方法对实际突水点进行拟合；最后建立了顶板水害间接预测的数学模型来表达含水层在空间上的变化特点和规律，为项板水害预测提供了一种新的方法．结果表明，该方法比传统的定性分析方法更有效．

Investigation on Predicting Roof Water Gush in Coal Mines Based on Multi-Factor Analysis

In case that few information about hydrogeologic condition of coal roof is available and and the regularity of roof water gush is not obvious in coal mine, the key factors affecting roof water gush are analyzed. The influential factors involving faults and folds are quantified by using fractal theory and are used in multi-factor analysis as well. In the ArcGIS, the fractal dimension value of folds and faults, and the thickness of sandstone in the breaking zone of roof are firstly interpolated into raster respectively, and then the multi-factor analysis of GIS is used to imitate practical water gush area; lastly, a function used to express spatial variety of fissured water is proposed to indirectly predict roof water hazards of unknown area, which gives a new method of predicting roof water hazards. The result shows that this new method is more effective than traditional qualitative methods.