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Prediction of Water Inrush from the Seam Roof in Coal Mine Based on Multi-Factor Analysis of GIS

机译:基于GIS多因素分析的煤矿煤层顶板突水预测。

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Water inrush is one of the serious disasters in coal mine, which are controlled by various conditions, geology, hydrogeology, rock mechanics, mining activity and so on. So it is quite difficult to predict accurately as yet where water inrush will happen and how much water there is, especially when we have little hydrogeological information to evaluate the probability of potential risk directly. Therefore, it is significant to find new methods to predict water bursting on the complex geological situation. Based on the analysis of geological conditions in research area, some key factors involved in water inrush from overlying aquifer of the seam were picked up, and then were quantified with some techniques. The failure height of coal roof caused by mining was numerically simulated with F-RFPA2D (Coupling System of Flow & Solid in Rock Failure Process Analysis), and the folds and faults were quantified with the fractal dimension theory. Finally, a mathematic model was constructed with multi-factor analysis of GIS, which gave a new approach to predict water disasters of coal mine.
机译:突水是煤矿的严重灾害之一,受各种条件,地质,水文地质,岩石力学,采矿活动等控制。因此,很难准确地预测到哪里会发生突水和有多少水,特别是当我们缺乏水文地质信息以直接评估潜在风险的可能性时。因此,寻找在复杂地质情况下预测注水量的新方法具有重要意义。在对研究区地质条件进行分析的基础上,从煤层上覆含水层中提取了一些与突水有关的关键因素,然后采用一些技术进行了定量分析。利用F-RFPA2D(岩石与岩石破坏过程分析中的流固耦合系统)对煤层顶板的失稳高度进行了数值模拟,并利用分形维数理论对褶皱和断层进行了定量分析。最后,利用GIS的多因素分析方法建立了数学模型,为预测煤矿水灾提供了一种新的思路。

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