基于GIS与灰色关联度理论在顶板突水评价中的应用

Water Inrush Risk Assessment of Roof Based on GIS and Grey Correlation Theory

针对潘三矿13_(-1)煤层顶板突水评价问题,对潘三矿地质及水文地质勘察数据进行充分挖掘确定了主控影响因素,运用Arc GIS强大的空间分析功能,对主控影响因素进行数据采集及量化处理,并建立煤层顶板突水影响主控因素子专题图层。然后应用灰色关联度理论确定主控因素的关联度和权重值,并将各个主控因素按照权重通过GIS空间信息复合技术进行复合叠加,提出13_(-1)煤层顶板突水脆弱性评价分区方案,将顶板已有涌(突)水数据与分区结果比较,结果显示拟合程度较好,准确性较高。

In order to solve the problem of evaluation of water inrush risk of seam 13 -1 in Pansan mine, the spital analysis of ArcGIS was used to setup the coal seam roof water inrush factors affecting the master special layers through the collection and normalization of the data of main control factors. Then apply grey correlation theory to determine the weighted proportion and degree of association of main control factors, and the main control factors were superimposed accord to the weight by GIS spatial information composite technology, the partitioning scheme of water inrush vulnerability evaluation in coal seam was put forward.The results of comparison between water inrush data of roof and the partition show that the fitting results are better and the accuracy is higher.