通过研究水系沉积物预测矿区,对矿产勘探人员具有重要意义。在本文中,为研究金牙乡地区的成矿分布,将金牙乡地区的元素地球化学特征进行统计分析,使用Excel、SPSS26软件对数据进行分析,在此分析基础上确定出研究区的单元素异常以及元素...通过研究水系沉积物预测矿区,对矿产勘探人员具有重要意义。在本文中,为研究金牙乡地区的成矿分布,将金牙乡地区的元素地球化学特征进行统计分析,使用Excel、SPSS26软件对数据进行分析,在此分析基础上确定出研究区的单元素异常以及元素异常组合,采用因子得分异常图表达元素组合异常特征。用上述方法对金牙乡地区地球化学异常进行研究,圈定了金牙乡地区的地球化学元素异常区有四处,并认为金牙乡地区存在Au矿床的可能性较大,为下一步开采稀有矿石开拓了新道路。此方法适用于对地球化学元素数据分析来圈定所需矿所在位置,从而有效地为找矿工作提供指导。Predicting mining areas through the study of fluvial sediments holds great significance for mineral exploration. In this paper, we investigate the distribution of mineralization in the Jinya Township by conducting a statistical analysis of the geochemical characteristics of elements in the region. Using Excel and SPSS26 software for data analysis, we identified single element anomalies and combinations of element anomaly in the study area. An anomaly map based on factor scores was used to illustrate the characteristics of these element combinations. By applying these methods to the geochemical anomaly study of the Jinya area, we delineated four geochemical element anomaly zones. Our findings suggest a high potential for Au deposits in the Jinya area, opening new avenues for the exploration of rare minerals. This method is effective for analyzing geochemical element data to pinpoint the locations of desired minerals, thereby providing valuable guidance for mineral prospecting.展开更多
文摘通过研究水系沉积物预测矿区,对矿产勘探人员具有重要意义。在本文中,为研究金牙乡地区的成矿分布,将金牙乡地区的元素地球化学特征进行统计分析,使用Excel、SPSS26软件对数据进行分析,在此分析基础上确定出研究区的单元素异常以及元素异常组合,采用因子得分异常图表达元素组合异常特征。用上述方法对金牙乡地区地球化学异常进行研究,圈定了金牙乡地区的地球化学元素异常区有四处,并认为金牙乡地区存在Au矿床的可能性较大,为下一步开采稀有矿石开拓了新道路。此方法适用于对地球化学元素数据分析来圈定所需矿所在位置,从而有效地为找矿工作提供指导。Predicting mining areas through the study of fluvial sediments holds great significance for mineral exploration. In this paper, we investigate the distribution of mineralization in the Jinya Township by conducting a statistical analysis of the geochemical characteristics of elements in the region. Using Excel and SPSS26 software for data analysis, we identified single element anomalies and combinations of element anomaly in the study area. An anomaly map based on factor scores was used to illustrate the characteristics of these element combinations. By applying these methods to the geochemical anomaly study of the Jinya area, we delineated four geochemical element anomaly zones. Our findings suggest a high potential for Au deposits in the Jinya area, opening new avenues for the exploration of rare minerals. This method is effective for analyzing geochemical element data to pinpoint the locations of desired minerals, thereby providing valuable guidance for mineral prospecting.
