To establish a more accurate roof water abundance evaluation model and mitigate the difficulties in roof water abundance prediction and evaluation in the coal mine production process, the 2101 working face of the Yingpanhao coal mine was studied. Combined with the hydrogeological characteristics and drilling data of the study area and based on the lithology and structure, four controlling factors, including the equivalent thickness of sandstone, the lithological coefficient of sandstone, the degree of fracture development, and the sand-mud interlayer coefficient, were selected as evaluation indexes for the prediction of roof water abundance zones of sandstone aquifers. In the case of limited borehole data, the distance function was used to couple the improved analytic hierarchy process with the entropy weight method. The errors caused by subjective and objective factors were effectively reduced, and on this basis, a water abundance prediction model of roof sandstone was built. With the use of geophysical exploration results, the model predictions were combined with geophysical survey data to generate a comprehensive water abundance zone map, which divided the study area into three zones according to the water abundance. The results show that the high water abundance areas were mainly concentrated in the west of the working face, and the water abundance throughout the study area was generally low. The prediction results were verified by the data from drainage holes exposed by drilling, which provided a scientific and practical method for the prediction of the water abundance of coal seam roofs.

为了建立更准确的顶水丰度评价模型，减轻煤矿生产过程中顶水丰度预测与评价的难度，研究了鹰盘好煤矿2101工作面。结合研究区的水文地质特征和钻井数据，根据岩性和构造，确定了四个控制因素，包括砂岩当量厚度，砂岩岩性系数，裂缝发育程度，选择砂泥夹层系数和砂泥夹层系数作为预测砂岩含水层顶水富集区的评价指标。在井眼数据有限的情况下，使用距离函数将改进的层次分析法与熵权法结合起来。有效减少了主，客观因素引起的误差，在此基础上建立了屋面砂岩含水率预测模型。利用地球物理勘探结果，将模型预测与地球物理调查数据相结合，以生成综合的水丰度区图，根据水丰度将研究区域划分为三个区域。结果表明，高含水率地区主要集中在工作面的西部，并且整个研究区域的水量普遍较低。钻探排水孔的数据对预测结果进行了验证，为煤层顶板含水量的预测提供了科学实用的方法。