淮南煤田老矿区地下水微量元素多元统计研究  

Multivariate statistical analysis of trace elements in groundwater of old mining areas of Huainan coalfield

作　　者：刘天骄[1] 张春雷[2] 钱家忠[2] 赵卫东[2] 

机构地区：[1]淮南师范学院生命科学系,安徽淮南232002 [2]合肥工业大学资源与环境工程学院,安徽合肥230009

出　　处：《合肥工业大学学报（自然科学版）》2011年第1期119-122,共4页Journal of Hefei University of Technology：Natural Science

基　　金：国家自然科学基金资助项目(40672154;40872166);新世纪优秀人才计划资助项目(NCET-06-0541)

摘　　要：文章采用现代统计学中聚类分析和分类主成分分析方法,利用SPSS15.0软件对淮南煤田老矿区收集的地下水水样中11种微量元素进行多元统计分析。分析研究表明,聚类分析阐明了淮南老矿区地下水各微量元素的迁移规律,选取Co、Rb、Sc、V、Ba、As、Mo为地下水中互异的微量元素,并以Sc、Co、Rb为例分析各含水层的特征微量元素;主成分分析建立了矿区主要突水含水层的4个主成分的判别表达式,可推断4个主成分分别与溶滤作用、河流补给作用及大气降水直接补给作用关系密切。所得结果可为后续水源研究提供依据。In this paper, by using cluster analysis and principal component analysis（PCA） in modern statistics, eleven types of trace elements in the groundwater of old mining areas of Huainan coalfield were determined by SPSS15.0 for multivariate statistical analysis. Based on the cluster analysis, the migration rule of trace elements in Huainan aquifers is presented, and the characteristic elements of each aquifer are studied through selecting Co, Rb, Sc, V, Ba, As, Mo as the types of trace elements in groundwater and taking Sc, Co, Rb for example. While based on the principal component analysis, four discriminating expressions for the main water-inrush aquifers are established, and the close relationship between four principle components and the lixiviation, river supplies, recharge of meteoric water is inferred. The above results can provide a basis for future study of water resource.

关 键 词：微量元素 统计分析 淮南煤田 

分 类 号：P641[天文地球—地质矿产勘探]