吉林大学学报(地球科学版)

• “全国重要矿产资源潜力评价”专辑 • 上一篇    下一篇

彩霞山铅锌矿原生晕地球化学特征及深部矿产评价

孙莉1, 肖克炎1,高阳2   

  1. 1.中国地质科学院矿产资源研究所,北京100037;
    2.核工业北京地质研究院,北京100029
  • 收稿日期:2012-11-25 出版日期:2013-07-26 发布日期:2013-07-26
  • 通讯作者: 高阳(1983-),男,高级工程师,博士,主要从事矿产资源评价工作 E-mail:gaoyangcugb@gmail.com
  • 作者简介:孙莉(1981-),女,博士研究生,助理研究员,主要从事矿产资源评价工作,E-mail:sunli0727@163.com
  • 基金资助:

    中国地质调查局国土资源大调查项目(1212010733806,1212011220872);科学技术部科技支撑项目(2006BAB01A01)

Primary Halos Characteristics of Caixiashan Pb-Zn Deposit and Prediction for Deep Mineralization

Sun Li1,Xiao Keyan1,Gao Yang2   

  1. 1.Institute of Mineral Resources,CAGS,Beijing100037,China;
    2.Beijing Research Institute of Uranium Geology,Beijing100029,China
  • Received:2012-11-25 Online:2013-07-26 Published:2013-07-26

摘要:

彩霞山铅锌矿是位于哈萨克斯坦-准噶尔板块南缘的热液型铅锌矿床。对其Ⅱ号矿体36号勘探线剖面的原生晕特征研究表明:1)矿体前缘晕元素为Cd、Hg、Zn、As、Cu,近矿元素为Ag、Pb、Sb,尾晕元素为Sn、Mo、W; 2)根据格里戈良分带指数法计算,其原生晕轴向分带序列(由矿体头部至尾部)为Zn-Mo-Hg-Cd-Cu-As-Ag-Sb-Sn-W-Pb。采用相关分析、聚类分析和因子分析方法研究了成矿元素与相关金属元素、主量元素之间的亲缘性,并建立了(Cd+Hg)/(W+Mo)、F1因子以及主量元素Fe2O3、Na2O 和Na2O/K2O等评价指标。根据各评价指标的分布特征,认为在矿体深部仍有良好的找矿前景。

关键词: 彩霞山矿床, 原生晕分带, 分带指数, 深部矿产预测

Abstract:

Caixiashan hydrothermal Pb-Zn deposit is located at the south margin of Hazakstan-Jungar plate. The study of the primary geochemical halos of No.36 section in No.Ⅱ ore body shows that: 1)Cd, Hg, Zn, As, Cu are front elements. Ag, Pb, Sb are proximal elements while Sn, Mo W are tail elements of the ore body. 2)The axial zonation of the elements delineated by zonation indexes is as follows:  Zn-Mo-Hg-Cd-Cu-As-Ag-Sb-Sn-W-Pb. Multivariable statistical methods such as correlation analysis, cluster analysis and factor analysis were used to study the relationship among the ore0forming elements, associated elements and major elements and the corresponding evaluation criteria such as (Cd+Hg)/(W+Mo), F1 factor,Fe2O3,Na2O, and Na2O/K2O were built. The distribution of the criteria shows that the mineralization is prospective in the deep portion of  the ore body under study.

Key words: Caixiashan deposit, zonation of primary halso, zonation index, prediction for deep-seated mineralization

中图分类号: 

  • P624.6
[1] 王建新,臧兴运, 郭秀峰, 谢海东,赵利刚,孙永杰. 格里戈良分带指数法的改良[J]. J4, 2007, 37(5): 884-0888.
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