R型因子分析在矿床成矿预测中的应用——以山东黄埠岭金矿为例

APPLICATION OF R TYPE FACTOR ANALYSES IN MINERALIZATION PROGNOSIS: BY AN EXAMPLE OF HUANGBULING GOLD DEPOSIT,SHANDONG PROVINCE

危机矿山的深边部矿体预测研究,是当前成矿预测研究的热点内容。因子分析是研究元素的共生组合的有效手段和方法,因子分析中每一个因子所包含的主要元素,不仅仅表示它们的一种组合关系,而且反映了一种内在的成因联系。因此可利用每一个因子的因子得分的空间分布来预测矿体的存在。作者利用黄埠岭金矿床两条主要成矿矿脉的11种成矿及伴生元素的分析数据,采用R型因子分析方法,研究元素间的共生组合关系,在此基础上分析每一因子对矿体的指示意义,利用因子得分定量地描述这种指示意义。最后通过研究因子得分的空间分布规律,对矿床深边部未知矿体进行预测,圈定了找矿靶区。

At present, the deep ore prognosis study in the crisis mines is a hot spot in mineralization prognosis research. The factor analysis is the best means and method to study element associations. Major elements in one factor are not only present a kind of association relationship, but also reflect a kind of intrinsic genetic relationship. Spatial distribution of factor score can be used to predict the existence of ores. The paper adopted R type factor analysis method to study dement association relationships by using 11 kinds of ore -forming elements and associated elements analysis data, which are collected from two main ore - forming veins in the Huangbuling gold deposit. Indicating meaning of each factor is analyzed and described by score of each factor. Based on spatial distribution of factor score, blind orebodies in the deep of the deposit are predicted, and ore-prospecting target area is delineated.