针对浅埋煤层开采顶板涌(突)水危险性预测问题,在详细分析钻孔和水文地质等资料的基础上,对矿井顶板涌(突)水的预测涉及到的各类数据进行了组织与管理,设计了由预测数据管理和顶板水害预测两大模块构成的预测系统,建立了矿井顶板涌(突)水多因素叠加分区预测模型,并通过陕北张家峁煤矿的实际数据进行预测,进一步验证了该系统的实用性。
Aiming at the problem of risk prediction for roof water inrush in shallow coal seam mining, and based on a thorough data analysis of borehole and hydrogeology, the paper organized and managed various data related to prediction of mine roof water inrush, designed a prediction system comprised of prediction data management module and roof water damage prediction module, and established a district prediction model of multi - factors overlay for mine roof water inrush. The 13racticabilitv was proved, comparin~ with the practical data of a coal mine in northern Shaanxi.