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Geochemical classification of oxidized Mn-ores from Úrkút (W Hungary) and its consequences for ore genesis

机译:Úrkút(匈牙利W)氧化锰矿的地球化学分类及其对成因的影响

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摘要

Abstract Analytical data of primary oxidized manganese ores were processed by statistical methods. Six hundred and twenty-one samples were measured (Mn, Fe, Si, and P); thus 2,426 assay data were available. The statistical pointer numbers, the distribution of the elements and the results of the correlational analysis showed the heterogeneity of the ore samples where the measured elements correlated weakly. The samples were grouped by the 4 elements to decrease the heterogeneity and the concentration of elements, and these relationships in the groups were examined. Very few and weak relationships were proved in the groups by the results of the correlational and regressional analysis. It is possible that not the heterogeneity of the samples but one or more syngenetic or postgenetic processes caused the absence of relationships. The multivariate statistical processes (principal component analysis, discriminance analysis) allow the determination of the background factors, namely which are the effects that produced the ore. Consequently — with high probability — the ore was formed by two processes. The most likely are hydrothermal and microbial ones (on the basis of geochemical results), but supergene enrichment processes can also be taken into consideration. Both hydrothermal and microbial processes played a significant role in the majority of the samples (81%), which are the ferruginous manganese ores. In the smaller group of samples (19%) the hydrothermal process predominates but the microbial one is also influential, namely for the low iron-bearing manganese ores of excellent quality.
机译:摘要采用统计方法处理了一次氧化锰矿石的分析数据。测量了612个样品(Mn,Fe,Si和P);因此有2,426个测定数据。统计指标数字,元素分布和相关分析结果表明,矿石样品的异质性与所测元素之间的相关性较弱。将样品按4种元素分组,以减少元素的异质性和浓度,并检查各组之间的这些关系。相关性和回归分析的结果证明了各组之间的关系很少且微弱。可能不是样品的异质性而是一个或多个同基因或后遗传过程导致了不存在相关性。多元统计过程(主要成分分析,判别分析)可以确定背景因素,即产生矿石的影响。因此,矿石很有可能是由两个过程形成的。最有可能是热液和微生物(根据地球化学结果),但也可以考虑超基因富集过程。在大多数样品(81%)中,水热过程和微生物过程均起着重要作用,这些样品是铁锰锰矿。在较小的一组样品中(19%),水热过程占主导地位,但微生物也有影响,即对于低铁含量的优质锰矿石而言。

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