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金属矿山 ›› 2013, Vol. 42 ›› Issue (09): 113-116.

• 地质与测量 • 上一篇    下一篇

多元统计方法在地气异常推断解释中的应用

刘国安,周四春,赵辉,孙森,刘俊   

  1. 成都理工大学核技术与自动化工程学院
  • 出版日期:2013-09-16 发布日期:2013-11-22
  • 基金资助:

    国家自然科学基金项目(编号:41074094),国家“深部探测技术与实验”专项(编号:SinoProbe-03-01-4C),四川省教育厅重点科技项目(编号:10ZA118)。

Application of Multivariate Statistical Methods in the Geogas Anomalies Inferred Interpretation

Liu Guo'an,Zhou Sichun,Zhao Hui,Sun Sen,Liu Jun   

  1. The College of Nuclear Technology and Automation Engineering,Chengdu University of Technology
  • Online:2013-09-16 Published:2013-11-22

摘要: 以湖南黄沙坪铅锌矿和云南施甸东山铅锌矿整装勘查区为对象,开展了地气测量探测隐伏多金属矿的实验研究。利用因子分析、聚类分析和判别分析方法对地气异常进行推断解释,获得了矿异常与矿体和下伏岩浆岩之间的联系,揭示了矿异常与非矿异常的差别,并说明综合运用多元统计方法可以更加准确地推断未知的地气异常。

关键词: 地气异常, 因子分析, 聚类分析, 判别分析

Abstract: With Huangshaping lead-zinc mine in Hunan province and Dongshan lead-zinc integrated exploration area in Shidian of Yuanna province as the object,experimental research of geogas measurement to detect concealed multi-metal mine is carried out.The factor analysis,cluster analysis and discriminant analysis methods are adopted to infer the geogas anomalies,obtaining the connection relationship among the ores anomalies,ore-bodies and underlying igneous rocks.The difference of ore anomalies and non-ore anomalies is revealed.It is concluded that the integrated use of the multivariate statistical method can more accurately infer the unknown abnormal geogas.

Key words: Abnormal geogas, Factor analysis, Cluster analysis, Discriminant analysis