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    师淑娟, 王学求, 宫进忠. 金的地球化学异常与金矿床规模之间关系的统计学特征——以河北省为例[J]. 中国地质, 2011, 38(6): 1562-1567.
    引用本文: 师淑娟, 王学求, 宫进忠. 金的地球化学异常与金矿床规模之间关系的统计学特征——以河北省为例[J]. 中国地质, 2011, 38(6): 1562-1567.
    SHI Shu-juan, WANG Xue-qiu, GONG Jin-zhong. Statistic relationship between geochemical anomalous areas and gold reserves: a case study of Hebei Province[J]. GEOLOGY IN CHINA, 2011, 38(6): 1562-1567.
    Citation: SHI Shu-juan, WANG Xue-qiu, GONG Jin-zhong. Statistic relationship between geochemical anomalous areas and gold reserves: a case study of Hebei Province[J]. GEOLOGY IN CHINA, 2011, 38(6): 1562-1567.

    金的地球化学异常与金矿床规模之间关系的统计学特征——以河北省为例

    Statistic relationship between geochemical anomalous areas and gold reserves: a case study of Hebei Province

    • 摘要: 提要:以水系沉积物地球化学调查成果为基础,从统计学角度探讨了河北省金地球化学异常与金矿规模的对应关系。以2.6 ng/g为异常下限,在全省范围内圈定金区域异常28处,局部异常35处。研究发现区域异常与金矿的关系非常密切,100%的大型金矿、81.8%的中型金矿及70.9%的小型金矿都位于区域异常内。局部异常仅与小型金矿的关系密切,小型金矿在局部异常中的产出概率是20%。通过23个金异常面积与金矿储量的相关分析表明,二者相关性非常好,相关系数达0.919,金异常面金属量与金矿储量的相关性也很显著,相关系数达0.924。回归分析表明,金异常面积及异常面金属量与金矿床储量之间符合一元线性相关特征,并分别建立了回归方程。该成果对矿产预测及资源潜力评价具有一定的指导意义。

       

      Abstract: Abstract:Gold geochemical anomalies and their relationship with gold reserves are discussed in this paper based on statistic analysis of the data obtained from regional stream sediment geochemical survey in Hebei Province. Twenty-eight gold regional anomalies over an area of 50 km2 and 35 local anomalies with the area from 10 km2 to 50 km2 were delineated by threshold of Au value of 2.6ng/g. The relationship between regional anomalies and gold ore deposits is proved to be intimate. 100% large-size, 81.8% medium-size and 67.8% small-size gold ore deposits occur within regional anomalies. Correlation analysis shows that the correlation coefficient of gold anomalous areal size and gold ore reserves is 0.919, and the correlation coefficient of gold anomalous areal productivity and gold ore reserves is 0.924. Regression analysis shows that the correlation between areal size or areal productivity of gold anomalies and gold ore reserves is in linear form. The result is useful for prediction and evaluation of mineral resource potential.

       

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