首页|滇西官房铜矿床微量元素R型因子分析及其地质意义研究

滇西官房铜矿床微量元素R型因子分析及其地质意义研究

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官房铜矿床位于我国著名的三江成矿带南澜沧江火山岩段北段,属云县-景谷(火山弧)铜多金属成矿带,是该区最具代表性的玄武岩铜矿床,储量达中型规模.对矿区内矿石的33种微量元素进行聚类分析与R型因子分析,结果显示:经过聚类分析,33种微量元素可分为基性岩元素组合、中低温矿化元素组合、中酸性岩相关元素及中高温矿化元素组合;R型因子分析得到F1、F2、F3、F4四类元素组合因子.其中,聚类分析与R型因子分析的元素分类结果基本一致,能够代表矿床的成矿过程,即成矿分为热液成矿期和中低温地下水热液改造期两个阶段,成矿流体主要来源于深部,成矿物质具有壳幔混合来源的特征,该矿床属于隐伏岩体及岩浆作用有明显成因联系的浅成中-低温热液矿床.
R-factor Analysis and Its Geological Significance of Trace Elements in Guanfang Copper Deposit,Western Yunnan Province
Guanfang copper deposit,located in the north of the South Lancangjiang volcanic section of the famous Sanjiang metallogenic belt in China,belonging to Yunxian-Jinggu(volcanic arc)copper polymetallic metallogenic belt.It is the most representative basalt copper deposit in this area with medium-sized reserves.In this paper,33 kinds of trace elements in different middle ores in the mining area are analyzed by cluster analysis and R-factor analysis.The results show that 33 kinds of trace elements can be divided into basic rock element assemblage,medium-low temperature mineralization element assemblage,intermediate-acid rock related element assemblage and medium-high temperature mineralization element assemblage.Four element combination factors of F1,F2,F3 and F4 are obtained by R-factor analysis.Among them,the element classification results of cluster analysis and R-factor analysis are basically the same,which can represent the metallogenic process of the deposit,that is,the mineralization can be divided into two stages:hydrothermal mineralization and hydrothermal reconstruction of medium-low temperature groundwater.The ore-forming fluid mainly comes from the depth.The ore-forming materials have the characteristics of crust-mantle mixed sources.The deposit is a shallow meso-cryogenic hydrothermal deposit which is obviously related to concealed rock bodies and magmatism.

R-factor analysisCluster analysisTrace elementGuanfang copper depositWestern Yunna

李育、陈爱兵、蔡家驭、高建国、常河、贾福聚、王泱泱、王玉祥、董雪健

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昆明理工大学国土资源工程学院,云南昆明 650093

R型因子分析 聚类分析 微量元素 官房铜矿床 滇西

国家自然科学基金昆明理工大学"一流本科专业"虚拟仿真实验教学培育项目

42162012109620210118

2024

中国锰业
全国锰业技术委员会 湖南特种金属材料厂

中国锰业

CSTPCD
影响因子:0.432
ISSN:1002-4336
年,卷(期):2024.42(1)
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