基于水化学和多元统计的煤矿采空积水识别

老空积水是煤矿4大水害水源之一,在四川对煤矿安全生产的威胁最大。为快速准确识别采空积水的突水点,为矿山降低生产风险,以四川省孔家沟煤矿14组地表水和矿井水水化学检测数据为基础,在分析矿井水成因和水化学特征上,利用相关性分析和Q型聚类等多元统计方法对采空积水涌出点进行了识别。结果表明：Piper图可以初判矿井水的补给水源；通过Pearson种相关性系数判别值设定和大小关系分析,对地表水和深部矿井水具有较好识别效果；综合运用采样位置、地下水流向、Piper图、相关性和聚类分析等方法,可区分差异较小的裂隙水和采空积水,提高水源判别精度。该研究成果可为其他类似煤矿防治水工作中的水害水源识别提供参考。

Identification Of Water-Bursting Points From Coalmine Goaf Based on Hydrogeochemistry and Multivariate Statistics

Coalmine Goaf Water is one of four major water hazards sources, which is the biggest threat to the safety of coalmines in Sichuan. In order to quickly and accurately identify the Water-Bursting Points of Goaf Water, and reduce the production risk for the coalmine. Based on 14 groups of Surface water and goundwater chemical date form Kongjiagou Coalmine in Sichuan Province, On the basis of groundwater cause and chemical charateristics, Multivariate statistical methods such as correlation analysis and Q-clustering were used to identify the outflow points. The results show that the Piper diagram can preliminary judge the source of mine water. Through setting discriminant value and size relation of Pearson, Spearman and Kendall correlation coefficient, the surface water and deep groundwater has a good recognition effect.Comprehensive use of sampling location, groundwater flow direction, Piper diagram, correlation and cluster analysis can distinguish small differences fissure water and Goaf Water, and improve the accuracy of water source Identification.The research results can provide a reference for water source identification in other similar coal mine water prevention works.