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Geochemical associations and their spatial patterns of variation in soildata from the Marrancos gold—tungsten deposit: a pilot analysis

机译:Marrancos金-钨矿床的地球化学联系及其土壤数据变化的空间格局:初步分析

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This paper discusses the results of a soil geochemical exploration surveyin the environs of the Marrancos gold—tungsten deposit, dealing with 144 samples oftopsoil, analysed for 53 chemical elements. At this initial stage of the project the mainobjectives were: (1) to identify associations between chemical elements; (2) toestimate spatial patterns of variation for such associations in the surficial materials.The associations were established using principal component analysis (PCA).Variography was used to obtain the theoretical model of spatial continuity of eachvariable. These models were used in the interpolation method (kriging) selected toestimate surficial dispersion patterns. The results of PCA and PCA mapping indicatedistinct distribution patterns for the metals related to the primary mineralogical orgeochemical association, as identified for this deposit. Based on the results, six of the53 chemical elements studied were selected to estimate spatial patterns of dispersionin the topsoil. This approach allows the recognition of the geochemical signature ofthe deposit, and the selection of several target areas for follow-up work. Several siteswere selected for water sampling (surficial and groundwater), and the soil samples tobe used in partial extractions are now defined.
机译:本文讨论了在Marrancos金-钨矿床周围进行的土壤地球化学勘探调查的结果,处理了144个表土样品,并分析了53种化学元素。在该项目的初始阶段,主要目标是:(1)识别化学元素之间的联系; (2)估算表层材料中此类关联的空间变化模式。使用主成分分析(PCA)建立关联,并使用变异学获得每个变量的空间连续性理论模型。这些模型用于选择的插值方法(克里金法)中以估计表面色散模式。 PCA和PCA映射的结果表明,与该矿床有关的与主要矿物地球化学缔合有关的金属存在明显的分布模式。根据结果​​,从研究的53种化学元素中选择了6种,以估算表层土壤中分散的空间格局。这种方法可以识别矿床的地球化学特征,并可以选择几个目标区域进行后续工作。选择了几个地点进行水采样(地表水和地下水),现在定义了用于部分提取的土壤样本。

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