印度本德尔坎德克拉通水系沉积物地球化学数据的r型因子分析:一种多元统计方法在关键矿产勘查中的应用

Geosystems and Geoenvironment Pub Date : 2026-05-01 Epub Date: 2026-01-21 DOI:10.1016/j.geogeo.2026.100496
Apratim Kumar Rai , Satyabrata Behera , Alok Kumar , Vivek P. Malviya
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引用次数: 0

摘要

与印度其他太古宙克拉通相比,本德尔坎德克拉通的勘探程度相对较低,但其地质和地球化学特征与全球矿化地形相似,表明其具有经济矿化的潜力。在21世纪的勘探中,有大量的地球化学数据集可用,稳健的统计方法对于解码隐藏在这些数据中的复杂模式至关重要。本研究采用r型因子分析方法,对本德尔坎德克拉通中部2808个样品、62个元素的中心对数比转换水系沉积物地球化学数据进行分析,识别成矿相关特征。三个关键因子(1)反映花岗岩-基性岩脉组合的岩性因子(26%),与钾质花岗岩相关的稀土元素(REE)-稀有金属因子(20%),以及与剪切带相关的金-铋-硒因子(6%),解释了总方差的52%。中心对数比转换有效地解决了成分数据的限制问题,而varimax旋转产生的可解释因子与已知地质条件一致。空间分析显示南方稀土元素异常与碱性花岗岩类相关,而沿Bundelkhand构造带和Raksha剪切带的金-铋-硒异常证实了构造控制的金矿化。钪异常与fe - mg - ca富带重合,表明镁铁质-超镁铁质侵入。这些发现不仅证实了历史上金的赋存状态,而且揭示了克拉通中新的关键矿物潜力(铟、铊和钪)。该研究表明,多元统计与地质知识相结合,可以将区域地球化学数据转化为可操作的勘探目标。该方法为评估未开发克拉通的矿产潜力提供了一个可复制的框架,支持印度的战略性矿产安全倡议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

R-mode factor analysis of stream sediment geochemical data: A multivariate statistical approach for critical mineral exploration in the Bundelkhand Craton, India

R-mode factor analysis of stream sediment geochemical data: A multivariate statistical approach for critical mineral exploration in the Bundelkhand Craton, India
The Bundelkhand Craton, though relatively underexplored compared to other Archean cratons of India, exhibits geological and geochemical similarities with mineralised terrains globally, suggesting its potential to host economic mineralisation. In 21st-century exploration, where large geochemical datasets are available, robust statistical methods are essential to decode intricate patterns hidden within these data. This study applies R-mode factor analysis to centered log-ratio transformed stream sediment geochemical data (2808 samples, 62 elements) from the central Bundelkhand Craton to identify mineralisation-related signatures. Three key factors were extracted, explaining 52% of the total variance: (1) a lithological factor (26%) reflecting granitoid-mafic dyke assemblages, (2) a rare earth element (REE)-rare metal factor (20%) linked to potassic granitoids, and (3) a gold-bismuth-selenium factor (6%) spatially associated with shear zones. The centered log-ratio transformation effectively addressed compositional data constraints, while varimax rotation produced interpretable factors aligned with known geology. Spatial analysis revealed high-priority exploration targets, viz. REE anomalies in the south correlate with alkaline granitoids, while gold-bismuth-selenium anomalies along the Bundelkhand Tectonic Zone and Raksha Shear Zone confirm structurally controlled gold mineralisation. Scandium anomalies, coinciding with Fe-Mg-Ca-rich zones, indicate mafic-ultramafic intrusions. These findings not only validate historical gold occurrences but also reveal new critical mineral potential (Indium, Thalium and Scandium) in the craton. The study demonstrates how multivariate statistics, when integrated with geological knowledge, can transform regional geochemical data into actionable exploration targets. The methodology provides a replicable framework for assessing mineral potential in under-explored cratons, supporting India’s strategic mineral security initiatives.
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