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
R-factor Analysis and Its Geological Significance of Trace Elements in Guanfang Copper Deposit,Western Yunnan Province
李育 1陈爱兵 1蔡家驭 1高建国 1常河 1贾福聚 1王泱泱 1王玉祥 1董雪健1
作者信息
- 1. 昆明理工大学国土资源工程学院,云南昆明 650093
- 折叠
摘要
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.
Abstract
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.
关键词
R型因子分析/聚类分析/微量元素/官房铜矿床/滇西Key words
R-factor analysis/Cluster analysis/Trace element/Guanfang copper deposit/Western Yunna引用本文复制引用
基金项目
国家自然科学基金(42162012)
昆明理工大学"一流本科专业"虚拟仿真实验教学培育项目(109620210118)
出版年
2024
NETL
NSTL
万方数据