Statistical Characterization of Groundwater Geochemistry in Vein-Type Gold Mines in Korea

Jong-Un Lee
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Abstract

A dataset of chemical composition of groundwater in Korea including that in vein-type gold mines was compiled through literature review. Groundwaters were grouped, according to location, into ‘adit groundwater’ in the immediate vicinity of gold veins, ‘surrounding groundwater’ spatially separated from the veins in gold mines, ‘normal groundwater’ from non-mineralized granitic rocks, and ‘deep groundwater’ from a depth of 500 m or deeper. ANOVA indicated that adit groundwater showed statistically higher values of TDS, Ca, and SO 4 than the other groups. High SO 4 in the adit groundwater is likely due to sulfide minerals, and high Ca may be attributed to the occurrence of calcite as a fracture-filling mineral in the mines. Classification functions derived from discriminant analysis could distinguish between adit, surrounding, and normal groundwaters with a hit ratio > 92%. The classification functions may serve as an indicator for the exploration of unknown vein-type gold deposits through chemical analysis of the groundwater.
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韩国脉状金矿地下水地球化学统计特征
通过文献综述,编制了包括脉状金矿在内的韩国地下水化学成分数据集。地下水根据位置分为紧邻金矿脉的“坑道地下水”、与金矿矿脉分隔的“周围地下水”、来自未矿化花岗岩的“正常地下水”和深度为500米或更深的“深层地下水”。方差分析表明,坑道地下水的TDS、Ca和so4均高于其他组。坑道地下水中so4含量高可能与硫化物矿物有关,Ca含量高可能与方解石的赋存有关,方解石是充填裂隙的矿物。判别分析得到的分类函数可以区分地下、周围和正常地下水,准确率> 92%。该分类函数可作为通过地下水化学分析寻找未知脉状金矿的指标。
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