基于水化学特征的聚类法判别矿井突水水源  

Prediction of mine water inrush sources based on cluster analysis of hydrogeo chemical features

作　　者：王炳强[1] 白喜庆[1] 吴振岭[1] 

机构地区：[1]中国煤炭地质总局水文地质局,河北邯郸056004

出　　处：《河北工程大学学报（自然科学版）》2015年第3期101-104,共4页Journal of Hebei University of Engineering:Natural Science Edition

基　　金：中国地质调查局地质矿产评价专项资金资助(1212010913023)

摘　　要：以新阳煤矿为例,通过对不同含水层水样进行取样化验,研究各含水层特征离子组成,应用聚类分析方法,采用SPSS统计软件中的聚类分析进行计算,判断井下涌(突)水层位及补给水源。分析得知,未知层位出水点水源为奥陶系峰峰组岩溶裂隙水;该地下水化学聚类分析模型简单易学,投资少,效果好。Taking XinYang coal mine for an example, water samples was obtained from different aqui- fer, the component of characteristics ion of each aquifer were studied by using clustering analysis method. The underground gushing bursting water layer and water supply were analyzed by using SPSS statistical software. The results showed that the source of water in uncertain aquifer was Karst fissure water in the Ordovician. This method is simple and easy to learn, and the investment is little, the effect is good.

关 键 词：新阳矿 水化学特征 聚类法 矿井突水 SPSS 

分 类 号：TD745[矿业工程—矿井通风与安全]