基于多元统计分析法的土壤地球化学找矿研究

Research on the Soil Geochemical Prospecting based on Multivariate Statistical Analysis Method

以新疆富蕴县喀依尔特河上游地区为例,采用多元统计分析方法进行土壤地球化学找矿预测研究。按相关元素组合分类、亲疏关系、成因联系将元素异常组合分为Au-Sb-Cu、Pb-ZnAs、W-Sn。在此基础上与区域成矿背景相结合,建立了区域地质-地球化学综合信息找矿模型。采用该模型对研究区进行找矿靶区预测,圈定出了Ⅰ、Ⅱ、Ⅲ类找矿靶区,为该区域及周边未知区域的找矿工作提供参考。

Taking the Kayier river upstream area of Fuyun county,Xinjing as the research object,the multivariate statistic analysis method is adopted to do research on the soil geochemical prospecting.According to the element combination classification,element affinity-disaffinity relationships,element genetic relationships,the element anomaly combination is divided into Au-Sb-Cu,Pb-Zn-As,W-Sn. Based on the element anomaly combination and regional metallogenic background,the regional geological-geochemical comprehensive information prospecting model is established. The prospecting model is used to conduct prospecting target prediction,the I,II,III prospecting target areas are marked out so as to provide some reference for the prospecting work in the research area and the around unknow area.