基于AHP-TFN模型的底板突水危险性预测

    Prediction of floor water inrush risk based on AHP-TFN model

    • 摘要: 针对下组煤开采的底板突水问题,以龙固井田为研究对象,在综合分析后,确定出断裂构造、奥灰水压、有效隔水层厚度3个主控因素,并利用Surfer软件得出3个主控因素的专题图。使用层次分析法(AHP)和梯形模糊数法(TFN)分别计算一级因子及其子类的权重,建立了基于AHP-TFN的预测模型。对煤层底板突水危险性进行了分区,为以后开采过程中的底板水防治提供了科学依据。

       

      Abstract: In view of the floor water inrush problem in the lower coal mining group, Longgu mine field is taken as the research object.After comprehensive analysis, three main control factors include fault, ordovician limestone water pressure and effective water-resisting layer thickness are determined, and the thematic maps of the three main control factors is obtained by Surfer software.Using analytic hierarchy process(AHP) and trapezoidal fuzzy number method(TFN) to calculate the weight of the first order factors and their subclasses respectively, a prediction model based on AHP-TFN model is established.The risk of water inrush from coal floor is divided into different zones, which provides scientific basis for prevention and control of water inrush from coal floor during mining.

       

    /

    返回文章
    返回