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首页> 外文期刊>Journal of Geochemical Exploration: Journal of the Association of Exploration Geochemists >Multifractal analysis of stream sediment geochemical data: Implications for hydrothermal nickel prospection in an arid terrain, eastern Iran
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Multifractal analysis of stream sediment geochemical data: Implications for hydrothermal nickel prospection in an arid terrain, eastern Iran

机译:流沉积地球化学数据的多重分析分析:干旱地形中水热镍假设的影响,东伊朗

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In this study, fractal/multifractal modeling methods have been applied for preliminary hydrothermal Ni prospection using a set of stream sediment geochemical data of Ahangaran district, which is an arid terrain in eastern Iran. The study area has a complex geological and morphological setting, which is dominated by the presence of aeolian sands. Cretaceous ophiolitic rocks hosting nickel endowment are influenced by extensive listwanitic alteration. Hydrothermal nickel mineralization occurs as veinlets and disseminated forms within the listwanite units. Among the analyzed elements, Ni, Cr and, Co have been recognized as being associated with listwanitic alteration and Ni mineralization, through robust factor analysis of compositional data. The regional background patterns of these mineralization-related elements were delineated via the concentration area (C-A) fractal modeling method. Different multifractal characteristics of the selected elements were recognized using the multifractal spectrum f(alpha) curves and different multifractal indices. The enrichment and depletion patterns of the related elements in different parts of the study area were also identified using the local singularity mapping technique. The application of local singularity mapping manifested different geochemical patterns that were not recognized via the C-A fractal modeling method. The superiority of the local singularity mapping technique in delineating geochemical populations over the C-A fractal modeling method, was revealed by quantification of the correlation between geochemical anomalies and geological evidence of the mineralization. (C) 2016 Elsevier B.V. All rights reserved.
机译:在本研究中,分形/多重分形建模方法已应用于利用伊朗东部干旱地区阿汉加兰地区的一组河流沉积物地球化学数据进行的初步热液镍勘探。研究区域具有复杂的地质和地貌背景,主要由风积砂构成。含镍的白垩纪蛇绿岩受到广泛的硅质蚀变的影响。热液镍矿化以细脉和浸染形式出现在listwanite单元内。通过对成分数据进行稳健的因子分析,在分析的元素中,镍、铬和钴被认为与板岩蚀变和镍矿化有关。通过浓度-面积(C-A)分形建模方法描绘了这些矿化相关元素的区域背景模式。利用多重分形谱f(α)曲线和不同的多重分形指数识别所选元素的不同多重分形特征。利用局部奇异性映射技术,还确定了研究区域不同区域相关元素的富集和亏损模式。局部奇异性映射的应用显示了不同的地球化学模式,这些模式没有通过C-A分形建模方法识别。通过量化地球化学异常与成矿地质证据之间的相关性,揭示了局部奇异映射技术在描述地球化学总体方面优于C-A分形建模方法。(C) 2016爱思唯尔B.V.版权所有。

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