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

ZHAO Zhenhua,QIAN Handong,HUANG Sheng   

  1. Department of Earth Sciences, Nanjing University, Nanjing 210093, China
  • Received:2007-03-20 Revised:2007-03-20 Online:2007-03-20 Published:2007-03-20

Abstract: 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 middlelow 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.