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水系沉积物测量在矿产远景调查中的应用以海南王下—白沙地区为例

Application of stream sediment survey in mineral prospective survey—A case study of Wangxia−Baisha area, Hainan

  • 摘要: 为研究水系沉积物测量在矿产远景调查工作中的应用,选择开展过1∶5万矿产远景调查工作的王下—白沙地区进行研究。通过对15种元素的水系沉积物测量数据进行分析对比,制作了元素离散程度图,总结了各元素的分布和富集特征;通过因子分析,制作了R型聚类分析谱系图,确定了5类元素组合;通过对水系沉积物测量数据进行多次迭代剔除处理,确定了各元素异常下限,圈定了单元素异常,确定了主要成矿元素为Au,其次为Ag、Cu、Pb、Zn和Mo;根据因子分析和聚类分析结果,圈定了组合异常和综合异常。根据水系沉积物异常分布特征,在王下—白沙地区圈定了3处找矿远景区并进行了成矿预测和潜力分析。通过研究,认为王下—白沙地区具有寻找岩浆热液型多金属矿,特别是卡林型金矿的优势。通过对综合异常进行勘查工作,提交了1处小型金矿床,证明了1∶5万水系沉积物测量在区域矿产调查中是一种简便、高效的手段。

     

    Abstract: To study the application of stream sediment survey in mineral prospective survey, the Wangxia−Baisha area, where a 1∶50 000 mineral prospective survey has been carried out, was selected for research. Stream sediment survey data for 15 elements were analyzed and compared to compile element dispersion plots and summarize the distribution and enrichment characteristics of each element. Factor analysis was conducted, R-type cluster analysis dendrograms were generated, and 5 types of element associations were identified. After multiple rounds of iterative elimination of stream sediment survey data, the anomaly lower limits of each element were determined, single-element anomalies were delineated, and Au was identified as the primary ore-forming element, followed by Ag, Cu, Pb, Zn, and Mo. Based on the results of factor analysis and cluster analysis, combined anomalies and comprehensive anomalies were delineated. According to the distribution characteristics of stream sediment anomalies, 3 mineral prospective areas were delineated in the Wangxia−Baisha area, and metallogenic prediction and potential analysis were conducted. The results indicate that the Wangxia−Baisha area has favorable conditions for prospecting magmatic hydrothermal polymetallic deposits, especially Carlin-type gold deposits. After exploration of the comprehensive anomalies, one small gold deposit is discovered, demonstrating that the 1∶50 000 stream sediment survey is a simple and efficient method in regional mineral surveys.

     

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