利用因子分析在浩斯台铜银多金属矿地球化学元素组合异常圈定中的应用

Application of factor analysis in delineating geochemical element combination anomalies in the Haositai copper silver polymetallic deposit

本文通过因子分析法对浩斯台铜银多金属矿的地球化学元素组合进行异常圈定,并与传统的单元素异常叠加法进行了对比。传统方法中,由于忽略了元素之间的相关性,往往导致组合异常范围较大,异常点分布零散且相关性差。而因子分析则能够更加科学合理地反映元素之间的共生关系,从而缩小找矿范围,提高找矿效率。本文通过对12种地球化学元素进行R型因子分析,结合KMO和Bartlett球度检验确定数据适合作因子分析,划分出4个主要的元素组合因子。基于因子得分绘制了组合异常图,并通过箱体图计算异常下限,以F1因子为例,证明了因子分析在组合异常圈定中的有效性。

This article uses factor analysis to delineate the geochemical element combinations of the Haositai copper silver polymetallic deposit,and compares them with the traditional single element anomaly superposition method.In traditional methods,neglecting the correlation between elements often leads to a large range of combined anomalies,scattered distribution of outliers,and poor correlation.Factor analysis can more scientifically and reasonably reflect the symbiotic relationship between elements,thereby narrowing the scope of mineral exploration and improving exploration efficiency.This article conducts R-type factor analysis on 12 geochemical elements,combined with KMO and Bartlett sphericity test to determine the suitability of the data for factor analysis,and divides the data into four main element combination factors.A combination anomaly map was drawn based on factor scores,and the lower limit of anomalies was calculated through box plots.Taking F1 factor as an example,the effectiveness of factor analysis in combination anomaly delineation was demonstrated.