用浓度面积、浓度周长和浓度数分形模型分离伊朗东部Qaen地区地球化学异常

IF 1 Q4 GEOSCIENCES, MULTIDISCIPLINARY
A. Daya, M. Safari, Amir Hajibabaey, Mahia Manouchehri
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引用次数: 1

摘要

地球化学异常与背景的分离在地球化学勘探中起着至关重要的作用。地球化学数据的分形和多重分形建模最近被许多地球科学家所使用。在伊朗东部呼罗珊省南部Qhaen地区东部的一个案例研究中,使用了三种分形方法来识别元素地球化学异常。这些方法包括浓度-面积(C–A)、浓度-周长(C–P)和浓度-数量(C-N)方法。铜矿化以脉状和细脉状出现。根据重矿物样品的分析,在Qhaen矿区的东南部、北部和东部也观察到了Cu含量,这与C–A分形模型的结果一致,并且与安山岩单元具有遗传相关性。事实上,经过实地调查和比较计算的分形模型的类型,可以得出结论,在该地区使用集中区方法获得的结果比其他方法更有效,更接近现实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Separating geochemical anomalies by concentration- area, concentration-perimeter and concentration-number fractal models in Qaen region, East of Iran
The separation of geochemical anomalies from the background plays a pivotal role in geochemical exploration. Fractal and multifractal modeling of geochemical data has been recently used by numerous geoscientists. Three fractal methods were used to identify elemental geochemical anomalies in a case study from the east of the Qhaen region, southern Khorasan Province, East of Iran. These methods include concentration–area (C–A), concentration–perimeter (C–P), and concentration -number(C-N) methods. Copper mineralization occurs as vein and veinlet. Based on the analysis of heavy mineral samples, Cu contents are also observed in the southeastern, northern, and eastern parts of the Qhaen ore district, which are consistent with the results of the C–A fractal model and are genetically correlated with the andesitic unit. Indeed, after fieldwork and comparing the types of fractal models calculated, it can be concluded that the results obtained from the concentration-area method in this area were more efficient than other methods and are closer to reality.
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来源期刊
Iranian Journal of Earth Sciences
Iranian Journal of Earth Sciences GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
1.40
自引率
12.50%
发文量
0
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