多元统计分析在金川铜镍矿床两类矿石中的应用  

Application of Multivariate Statistic Analysis to Two Kinds of Ores in Jinchuan Copper-Nickel Sulfide Deposit

作　　者：赵振华[1] 钱汉东[1] 黄晟[1] 

机构地区：[1]南京大学地球科学系,南京210093

出　　处：《高校地质学报》2007年第1期127-136,共10页Geological Journal of China Universities

基　　金：国家自然科学基金项目(No.40272025)资助成果

摘　　要：应用聚类分析和因子分析对金川铜镍硫化物矿床样品及其微量元素进行了分析和科学分类,并对分类的样品进行R型因子分析,找寻在成矿作用过程中对成矿贡献起关键性作用的因子。因子分析结果表明,富矿类型的网状矿石与贫矿类型的星点状矿石的Ni,Cu矿化期存在着明显的差异性;网状矿石在成矿作用过程中,经受了晚期晚阶段的中、低温热液作用,使矿石中的主要成矿元素Cu产生了进一步的叠加和富集,并伴有Bi,Se,Te及贵金属元素的富集。因子分析的研究为脉动式多期多阶段的成矿机制模式提供了新的依据,同时,也为矿床中有用伴生元素的赋存状态及找寻提供了有用的成因信息。The cluster analysis and factor analysis for the trace elements of different ore-bearing samples from Jinchuan copper-nickel ore-deposit were conducted. We classified the ore samples using the Q-cluster analysis, and studied the classified samples with R-factor analysis to discuss the key factors, which play important parts in the mineralization process. The results of factor analysis show distinct differences for different mineralization stages between the stockwork type ores and the spotted ores. Besides, it is also indicated that there exist late stage middlelow temperature hydrothermal alterations during the mineralization process of the stockwork type ores, which made the ores enrich Cu, Bi, Se, Te and some precious metal elements. The factor analysis not only provides new genetic evidence for pulsating mineralization mechanism, but also provides useful information about the valuable accompanying elements.

关 键 词：聚类分析 R型因子分析 成矿机制 热液活动 铜镍硫化物矿床 

分 类 号：P618.4[天文地球—矿床学]