Exploratory Data Analysis Applied in Mapping Multi-element Soil Geochemical Anomalies for Drill Target Definition: A Case Study from the Unpha Layered Non-magmatic Hydrothermal Pb-Zn Deposit, DPR Korea,Acta Geologica Sinica-English Edition

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Exploratory Data Analysis Applied in Mapping Multi-element Soil Geochemical Anomalies for Drill Target Definition: A Case Study from the Unpha Layered Non-magmatic Hydrothermal Pb-Zn Deposit, DPR Korea
Acta Geologica Sinica-English Edition ( IF 3.5 ) Pub Date : 2020-02-06 , DOI: 10.1111/1755-6724.14404
Gwang‐Hyok Jang ₁ , Hyon‐Chol Won ₁ , Bo‐Hyon Hwang ₁ , Chol‐Man Choi ₁

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A factor analysis was applied to soil geochemical data to define anomalies related to buried Pb-Zn mineralization. A favorable main factor with a strong association of the elements Zn, Cu and Pb, related to mineralization, was selected for interpretation. The median + 2MAD (median absolute deviation) method of exploratory data analysis (EDA) and C-A (concentration-area) fractal modeling were then applied to the Mahalanobis distance, as defined by Zn, Cu and Pb from the factor analysis to set the thresholds for defining multi-element anomalies. As a result, the median + 2MAD method more successfully identified the Pb-Zn mineralization than the C-A fractal model. The soil anomaly identified by the median + 2MAD method on the Mahalanobis distances defined by three principal elements (Zn, Cu and Pb) rather than thirteen elements (Co, Zn, Cu, V, Mo, Ni, Cr, Mn, Pb, Ba, Sr, Zr and Ti) was the more favorable reflection of the ore body. The identified soil geochemical anomalies were compared with the in situ economic Pb-Zn ore bodies for validation. The results showed that the median + 2MAD approach is capable of mapping both strong and weak geochemical anomalies related to buried Pb-Zn mineralization, which is therefore useful at the reconnaissance drilling stage.

中文翻译：

探索性数据分析用于绘制多元素土壤地球化学异常以定义钻井目标：以韩国 Unpha 层状非岩浆热液铅锌矿床为例

对土壤地球化学数据应用因子分析来定义与埋藏铅锌矿化相关的异常。选择与矿化相关的元素 Zn、Cu 和 Pb 强关联的有利主要因素进行解释。然后将探索性数据分析 (EDA) 和 CA（浓度-面积）分形建模的中值 + 2MAD（中值绝对偏差）方法应用于马哈拉诺比斯距离，由因子分析中的 Zn、Cu 和 Pb 定义，以设置阈值用于定义多元素异常。因此，中值 + 2MAD 方法比 CA 分形模型更成功地识别了 Pb-Zn 矿化。在由三种主要元素（Zn、Cu 和 Pb）而不是 13 种元素（Co、Zn、Cu、V、Mo、Ni、Cr、Mn、Pb、Ba、Sr、Zr 和 Ti)是矿体更有利的反映。将识别出的土壤地球化学异常与原位经济铅锌矿体进行比较以进行验证。结果表明，中值+2MAD方法能够绘制与埋藏Pb-Zn矿化相关的强和弱地球化学异常，因此在勘察钻探阶段非常有用。

更新日期：2020-02-06

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