基于SPSS的回归分析在云南冬瓜林金矿床微量元素分析中的应用

    Application of regression analysis on trace elements in Donggualin gold deposit based on SPSS

    • 摘要: 冬瓜林大型金矿床位于云南哀牢山金矿带北段,针对该矿床的研究并不多,数学地质方面更是有限。本文在野外地质调查的基础上,进行了系统采样和岩石地球化学分析。通过多元线性回归分析和逐步回归分析方法,借助SPSS分析Au元素与其他元素之间的相互关系,建立多元线性回归方程;结合矿床特征,认为成矿元素Au与Ni、Cu、Co、Mn、As元素关系密切,可以利用这些元素的异常,尤其是Ni、Cu和Co的异常作为找矿标志。

       

      Abstract: The Donggualin gold deposit is located in the north part of Ailaoshan gold belt,whose mathematical geology study is very limited.Based on geological field survey,systematic sampling and geochemical analyses of the rocks have been done for further research.The relationship between the Au variable and the rock-forming element variables is systematically studied by multivariate linear regression and stepwise regression analysis,with the help of SPSS statistical software.After that,the multivariate linear regression equation is built.Combined with the geological characteristics of the gold deposit,the elements Ni,Cu,Co,Mn,As are deemed to be close to Au,and the element anomalies of Ni,Cu,Co can be regarded as prospecting criteria for the gold deposit.

       

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