The influence of supervised and unsupervised methods in the analysis of low density stream sediments in the regional prospecting of pegmatites in the state of Espírito Santo, Araçuaí Orogen - Eastern Pegmatite Province of Brazil

Flávia Compassi da Costa, Brener Otávio Luiz Ribeiro, Lucas Pereira Leão, Paulo Augusto de Paiva-Silva, Ricardo Scholz
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Abstract

The state of Espírito Santo is located in Brazil southeastern and it is geologically inserted in the Eastern Brazilian Pegmatite Province in the Araçuaí Orogen. This province is one of the most important pegmatite provinces in the world, known mainly for the occurrence of gem-quality minerals and high grade lithium deposits. Although Espírito Santo has a geological framework with many granite intrusions similar to those hosting mineralized pegmatites in Minas Gerais, it hasn't been acknowledged as a potential pegmatitic area. There are reports of mineralization of beryl (aquamarine), topaz, amethyst, and chrysoberyl in the state's mineral history. I this research we use regional stream sediment geochemical data of the Espirito Santo State, to create prospective geochemical maps to map gemological pegmatites. To do so, primary descriptive statistical analyses as well as Pearson and Spearman correlations and Principal Component Analysis (PCA) were used to select elements associated with pegmatites. The geochemical prospectivity mapping was carried out by supervised and unsupervised approaches. The supervised method was based on integration of the elements by C-A fractal models, used to define the geochemical thresholds, and fuzzy logic methodology to integrate weighted geochemical maps. The unsupervised approach, however, was based on interpolation of the representative principal component scores. All models were validated using the Prediction Area plot (P-A plot). The results of our research showed that unsupervised methodology overperformed the other weighted supervised models, with a prediction rate of 78.14 % and prospectivity of 0.87. The final results also show a pegmatite prospectivity map for the Espirito Santo state, that indicates a great exploration potential for gemological minerals.)
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有监督和无监督方法对巴西东部伟晶岩省阿拉瓜伊造山带圣埃斯皮里图州低密度溪流沉积物区域勘探分析的影响
圣埃斯皮里图州位于巴西东南部,在地质学上属于阿拉瓜伊造山带的东巴西伟晶岩省。该省是世界上最重要的伟晶岩省之一,主要以出产宝石级矿物和高品位锂矿床而闻名。虽然圣埃斯皮里图省的地质结构与米纳斯吉拉斯州矿化伟晶岩的花岗岩侵入体相似,但该地区尚未被视为潜在的伟晶岩地区。在该州的矿产历史中,有绿柱石(海蓝宝石)、黄玉、紫水晶和金绿宝石成矿的报道。在这项研究中,我们利用圣埃斯皮里图州的区域溪流沉积物地球化学数据,绘制了远景地球化学地图,以绘制宝石伟晶岩地图。为此,我们使用了初级描述性统计分析、皮尔逊和斯皮尔曼相关性分析以及主成分分析(PCA)来选择与伟晶岩相关的元素。地球化学远景规划是通过监督和非监督方法进行的。监督方法基于 C-A 分形模型对元素进行整合,用于确定地球化学阈值,并采用模糊逻辑方法对加权地球化学图进行整合。而无监督方法则基于代表性主成分得分的插值。所有模型都通过预测区域图(P-A 图)进行了验证。我们的研究结果表明,无监督方法优于其他加权监督模型,预测率为 78.14 %,勘探率为 0.87。最终结果还显示了圣埃斯皮里图州的伟晶岩远景图,显示了宝石矿物的巨大勘探潜力)。
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