ISSN 1009-6248CN 61-1149/P 双月刊

主管单位:中国地质调查局

主办单位:中国地质调查局西安地质调查中心
中国地质学会

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    刘永胜, 罗先熔, 曹佰迪, 刘秀娟, 刘攀峰, 梁鸣, 郭家欣, 杨青松, 石佳磊. 甘肃省礼县三峪地区土壤地球化学特征及找矿预测[J]. 西北地质,2023,56(6): 340-351.
    引用本文: 刘永胜, 罗先熔, 曹佰迪, 刘秀娟, 刘攀峰, 梁鸣, 郭家欣, 杨青松, 石佳磊. 甘肃省礼县三峪地区土壤地球化学特征及找矿预测[J]. 西北地质,2023,56(6): 340-351.
    LIU Yongsheng, LUO Xianrong, CAO Baidi, LIU Xiujuan, LIU Panfeng, LIANG Ming, GUO Jiaxin, YANG Qingsong, SHI Jialei. Soil Geochemical Characteristics and Prospecting Prediction in Sanyu Area, Li County, Gansu Province[J]. Northwestern Geology,2023,56(6): 340-351.
    Citation: LIU Yongsheng, LUO Xianrong, CAO Baidi, LIU Xiujuan, LIU Panfeng, LIANG Ming, GUO Jiaxin, YANG Qingsong, SHI Jialei. Soil Geochemical Characteristics and Prospecting Prediction in Sanyu Area, Li County, Gansu Province[J]. Northwestern Geology,2023,56(6): 340-351.

    甘肃省礼县三峪地区土壤地球化学特征及找矿预测

    Soil Geochemical Characteristics and Prospecting Prediction in Sanyu Area, Li County, Gansu Province

    • 摘要: 三峪地区位于甘肃崖湾–大桥金锑矿带,属于国家级整装勘查内,具有金、锑、铜等多金属成矿条件及找矿潜力。为进一步提高地质找矿工作,在研究区开展了1∶2.5万土壤地球化学测量,以Au、Ag、Cu、Pb、Zn、Ni、Sb、Bi、Hg等9种元素原始数据为基础,运用分形特征及元素的变异系数、浓度系数等方法,对9种元素基础数据进行了统计,并分析了元素空间富集状态及分布趋势。结果显示,Pb、Zn、Sb和Au具有一定的找矿指标,利用SPSS 25对9种元素进行聚类及因子分析,共划分出F1(Ag−Pb−Zn−Sb)、F2(Au−Cu−Ni−Bi)、F3(Hg)3种组合元素,通过衬度异常法得出元素组合异常下限,根据软件Sufer 13对组合元素做出因子得分异常图,共圈定出4个找矿远景区,为下一步开展地质找矿、缩小远景区提供依据。

       

      Abstract: Sanyu area is located in the Yawan−Daqiao gold−antimony ore belt of Gansu Province, which belongs to the national integrated exploration, and has the metallogenic conditions and prospecting potential of gold, antimony, copper and other polymetals. In order to further improve the geological prospecting work, 1∶25000 soil geochemical survey was carried out in the research area. Based on the original data of Au, Ag, Cu, Pb, Zn, Ni, Sb, Bi and Hg elements, fractal characteristics, coefficient of variation, coefficient of concentration and other methods, The basic data of 9 elements were statistically analyzed, and the spatial enrichment status and distribution trend of elements were analyzed. The results showed that Pb, Zn, Sb and Au had certain prospecting indexes, SPSS 25 was used for clustering and factor analysis of 9 elements, and three combination elements were divided into F1 (Ag−Pb−Zn−Sb), F2 (Au−Cu−Ni−Bi) and F3 (Hg). The lower limit of element combination anomaly was obtained by contrast anomaly method, and according to software Sufer. The factor score anomaly map of 13 combination elements was made, and a total of 4 prospecting prospects were delineated, which provided a basis for further geological prospecting and reduction of prospective areas.

       

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