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    1:50 000山东毕郭幅地球化学数据集

    Geochemical Dataset of the 1:50 000 Shandong Biguo Map Sheet Area

    • 摘要: 该数据集依托中国地质调查局“山东莱州-招远地区金矿整装勘查区矿产调查与找矿预测”项目,在充分收集地质、物探、化探、遥感及矿产等资料基础上,开展毕郭幅矿产地质调查。项目共采集1 875件水系沉积物样品,采样粒级为-10~+80目,平均采样密度4.5个/km2。采用电感耦合等离子质谱法(ICP-MS)、原子荧光光谱法(AFS)、粉末发射光谱法(ES)和石墨炉原子吸收光谱法(GF-AAS)分析了16种元素,最终形成1:50 000山东毕郭幅地球化学数据集,数据集包含有1 875件样品×16种元素的原始分析数据表格一个,图集一套(含有1张矿产地质图、一张采样点位图和16张元素地球化学图)。区内共新发现单元素地球化学异常149处,综合异常10处,结合地质、矿产、物探、化探、遥感等信息并圈出金矿找矿靶区5处。

       

      Abstract: The geochemical dataset of the 1:50 000 Shandong Biguo map sheet area (also referred to as "the Area") was achieved by carrying out a mineralogical survey of the Area based on the project entitled Mineral Survey and Prospecting Prediction of Integrated Exploration Areas of the Gold Deposits in the Shandong Zhaoyuan-Laizhou Area initiated by the China Geological Survey, as well as through extensive data collection of geological information, geophysical prospecting, geochemical prospecting, remote sensing, and mineralogy. A total of 1 875 stream sediment samples were collected, with sampling size fractions of -10~+80 mesh and an average sampling density of 4.5 sampling points per km2. Furthermore, 16 elements were analyzed by the methods of inductively coupled plasma mass spectrometry (ICP-MS), atomic fluorescence spectrometry (AFS), powder emission spectrometry (ES), and graphite furnace atomic absorption spectrometry (GF-ASS). The final geochemical dataset contains an Excel file and an atlas. The Excel file consists of the original analysis data of 16 elements from the 1 875 samples. The atlas comprises one mineralogical map, one sampling point bitmap and 16 element-specific geochemical maps. A total of 149 geochemical anomalies of single elements and 10 integrated anomalies were discovered in the Biguo map sheet area, as a result of this work. In addition, five prospecting target areas of gold deposits were determined through examining the information obtained from the geological investigation, mineralogical survey, geophysical prospecting, geochemical prospecting and remote sensing.

       

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