蒋庄煤矿太原组煤层开采底板突水危险性分区分级研究

华北地区越来越多的煤矿将要开采太原组下部煤层,基底奥灰突水危险性随之增加。为合理评价滕州矿区蒋庄煤矿162、163采区太原组16煤底板奥陶突水危险性,在分析采区地质及水文地质特征的基础上,利用基于GIS的AHP型"脆弱性指数法",选取奥灰(富水性与水压力)、断裂构造(密度、断层交点和端点的分布、断层规模指数)和有效隔水层厚度因素作为评价指标,建立预测模型。应用本模型对研究区奥灰突水危险性进行了分区分级,分为安全、较安全、较危险和危险四个等级,对每个等级的分布进行了分区。经验证,预测效果符合实际,并与"突水系数法"预测结果相比,更详细、具体。分区分级结果有助于指导矿井16煤开采防治水工作。

Water inrush risk zoning and classification during coal seam mining in the Jiangzhuang coal mine, Shangdong province

An increasing number of coal mines will focus their operations on the coal seams present in the early Carboniferous Taiyuan Group in North China. It is expected the risk of water inrush from the Ordovician confined limestone aquifer through the floor of overlying excavations to be significant during mining. The current study is using the No. 162,163 district in Jiangzhuang coal mine, which is located in the Tengzhou coal field in the Shandong province, as an example of how to calculate and zone this risk based on the analysis of local geological and hydrogeological features such as hydraulic pressure and water yield capacity of the limestone aquifer, fault density, fault crossing and endpoint density, scale index of faults, and effective aquiclude thickness. The vulnerability index was determined using Geographical Information Systems and Analytic Hierarchy Process techniques in order to build the risk prediction model. Four areas were identified with the prediction model based on the risk of water inflow to the floor of the coal seam: safe, transitional, less dangerous, and dangerous. The model validation was carried out by using actual data from the No. 16301 workface and showed that it predicted the water inflow risk better than the traditional water inrush coefficient method. The model was considered to be accurate and therefore reliable and helped with the policy to prevent and control groundwater hazards during the mining of coal seam No. 16.