Application of the C-N fractal model, factor analysis and geochemical mineralization probability index (GMPI) for delineating geochemical anomalies related to a Mn-Fe deposit and associated Cu mineralization in west-central Sinai, Egypt

IF 1 4区地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS

Geochemistry-Exploration Environment Analysis Pub Date : 2021-06-17 DOI:10.1144/geochem2021-031

H. Helba, A. M. El-Makky, K. Khalil

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引用次数: 3

Abstract

The west-central Sinai area includes one of the most productive manganese deposits in Egypt (Um Bogma Mn-Fe ore). The explored area is covered by a Carboniferous and Cambro-Ordovician sedimentary succession overlying Precambrian basement rocks. The purpose of this study is to delineate geochemical anomalies of ore and related elements and track their dispersion trains, which may lead to the discovery of unknown ore deposits. For this purpose, 143 stream sediment samples were analysed and the data were interpreted using the concentration–number (C-N) fractal model, factor analysis and the geochemical mineralization probability index (GMPI). Geochemical thresholds obtained from the C-N fractal model, factor scores and GMPI were used for constructing geochemical anomaly maps and delineating probable anomalous sites. The spatial distribution of Mn, Cu, Co, Pb and Zn anomalies was correlated to Mn and Cu mineralization sites whereas those of Fe and Cr were consistent with mafic rock distributions. Factor analysis revealed significant element associations for mineralization (Cu, Co, Mn, Zn, Pb), country rock composition (Fe, Cr) and element mobility (Cd, Zn). The spatial distribution of ore elements (Mn, Cu) delineated by the factor score and GMPI distribution maps was confirmed and more accurately interpreted using geochemical anomaly maps constructed based on the fractal-derived thresholds. Based on the current study, recent Cu and Mn mineralization sites may be suggested. Cobalt, Zn, Pb and Cd are suggested as efficient pathfinder elements for marine Mn deposits. A dispersion sequence of Cd>Mn>Co>Pb>Zn>Cu>Cr>Fe was proposed based on the threshold distribution patterns of these elements. Supplementary material: Tables S1–S3 and Figures S1 and S2 are available at https://doi.org/10.6084/m9.figshare.c.5463511

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应用C-N分形模型、因子分析和地球化学成矿概率指数(GMPI)圈定了埃及西奈中西部某锰铁矿床及其伴生铜矿化地球化学异常

西奈半岛中西部地区拥有埃及最多产的锰矿之一(Um Bogma锰铁矿)。勘探区被石炭系和寒武系-奥陶系沉积序列覆盖在前寒武纪基底岩上。研究的目的是圈定矿石及相关元素的地球化学异常，并追踪其弥散序列，从而发现未知矿床。利用浓度-数(C-N)分形模型、因子分析和地球化学矿化概率指数(GMPI)对143个水系沉积物样品进行了分析。利用C-N分形模型得到的地球化学阈值、因子得分和GMPI构建地球化学异常图，圈定可能异常点。Mn、Cu、Co、Pb和Zn异常的空间分布与Mn和Cu矿化部位相关，Fe和Cr异常的空间分布与基性岩石分布一致。因子分析显示，矿化(Cu, Co, Mn, Zn, Pb)、岩石成分(Fe, Cr)和元素迁移率(Cd, Zn)具有显著的元素相关性。因子得分和GMPI分布图所圈定的矿石元素(Mn、Cu)的空间分布得到了确认，并利用分形衍生阈值构建的地球化学异常图进行了更准确的解释。根据目前的研究，可以推测出近期铜、锰的成矿位置。钴、锌、铅和镉被认为是海相锰矿床的有效探路元素。根据这些元素的阈值分布模式，提出了Cd>Mn>Co>Pb>Zn>Cu>Cr>Fe的色散序列。补充资料:表S1 - s3和图S1和S2可在https://doi.org/10.6084/m9.figshare.c.5463511上获得

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来源期刊

Geochemistry-Exploration Environment Analysis 地学-地球化学与地球物理

CiteScore

3.60

自引率

16.70%

发文量

审稿时长

1 months

期刊介绍： Geochemistry: Exploration, Environment, Analysis (GEEA) is a co-owned journal of the Geological Society of London and the Association of Applied Geochemists (AAG). GEEA focuses on mineral exploration using geochemistry; related fields also covered include geoanalysis, the development of methods and techniques used to analyse geochemical materials such as rocks, soils, sediments, waters and vegetation, and environmental issues associated with mining and source apportionment. GEEA is well-known for its thematic sets on hot topics and regularly publishes papers from the biennial International Applied Geochemistry Symposium (IAGS). Papers that seek to integrate geological, geochemical and geophysical methods of exploration are particularly welcome, as are those that concern geochemical mapping and those that comprise case histories. Given the many links between exploration and environmental geochemistry, the journal encourages the exchange of concepts and data; in particular, to differentiate various sources of elements. GEEA publishes research articles; discussion papers; book reviews; editorial content and thematic sets.