基于矿井排水的水文地质参数识别

由于强烈的非均质性,如何识别岩溶裂隙含水层水文地质参数是一个由来已久的难题。本文利用焦作矿区、荥巩矿区及永夏矿区生产矿井大流量、长时间的排水资料进行识别岩溶裂隙水含水层的水文地质参数,计算结果发现：K值均在100m/d量级上,μ＊值均在10^-3量级上,与孔隙含水层的值相当;用识别的参数预算矿井涌水量与区域降雨补给量接近,回报水位及给定条件下排水量误差均不超过2%。结果表明,可以用渗流理论模型对管道流、裂隙流进行概化处理。研究成果提出矿区岩溶裂隙地下水参数计算的新方法,为防控矿坑突水、安全生产提供了新思路。     

Analysis of gob collapse characteristics in gypsum mine based on InSAR monitoring data—A case study of Pizhou Pingtai and Xizhou mine

Gypsum is an important mineral resource. Bulk mining of gypsum will cause serious gob collapse. At present, the research on gob collapse of gypsum mine mainly focuses on the stability of pillars and top layers in the gob area. The research on the surface deformation in gob collapse areas and the monitoring and forecasting methods is rare. What’s more, there is also a lack of effective methods. This article focuses on the study of surface deformation characteristics and collapse characteristics after gypsum mining. The surface deformation characteristics before gob collapse can be obtained from the InSAR monitoring data analysis on ground deformation in the mining area. According to the calculation and analysis of InSAR monitoring data of Pingtai and Xizhou mine from 2007 to 2018, it can be seen that the surface deformed gradually in the early stage before gob collapse. The deformation amount and scale can be used to analyze the gob type and scale. This research can provide data basis and scientific evidence for monitoring, forecasting and preventing ground collapse in gypsum mining area.     

煤矿采空区探测效果研究

通过对煤矿采空区“三带”的分析,解释了其物性变化特点及探测效果分析,并以实例证实了其复杂性和多变性,给出了几点有益的结论。