利用因子分析和浓度数(C-N)分形模型识别Varcheh 1:100000片南部花岗岩中稀土元素的地球化学分布

IF 1 Q4 GEOSCIENCES, MULTIDISCIPLINARY
M. Arian, A. A. Ardalan, Davoud Pirdadeh Beyranvand, T. Farhadinejad
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引用次数: 0

摘要

本研究采用C-N分形模型和经典统计方法,刻画了瓦尔切1∶1万片以南花岗岩类中稀土元素的地球化学异常。在伊朗选矿研究中心(IMPRC)的实验室中,我们采用ICP-MS方法收集并研究了59个岩石样品中的稀土元素。浓度-数量(C-N)分形模型用于描绘元素阈值。根据结果,将Pr和Sm的元素浓度分布分为三类,Ce、La、Nd和Y在该地区有五个地球化学种群。经典的统计学方法能够分离出三个地球化学种群。研究结果表明,采用C-N分形模型和经典统计方法对稀土元素地球化学异常进行分离得到了相同的结果。同时,岩石样品中LREE与HREE的高比例以及高磷含量,使独居石、磷灰石和sphene成为研究区域稀土元素的可能来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of Geochemical Distribution of REEs Using Factor Analysis and Concentration-Number (C-N) Fractal Modeling in Granitoids, South of Varcheh 1:100000 Sheet
The purpose of the present research is delineating geochemical anomaly of REEs in granitoids in south of Varcheh 1:100,000 sheet by the use of C-N fractal model and classical statistical methods. We gathered and studied 59 rock samples for REEs by ICP-MS method in the laboratory of Iran Mineral Processing Research Center (IMPRC). The Concentration–Number (C-N) fractal model was used to delineate elemental thresholds. According to the results, the distribution of elemental concentration for Pr and Sm were divided to three classifications and Ce, La, Nd and Y had five geochemical populations in the area. The classical statistics methods were able to separate three geochemical populations. The results obtained by this study showed that the separation of geochemical anomalies for REEs using C-N fractal model and classical statistics methods yielded to the same results. Meanwhile, the high ratio of LREE to HREE in rock samples as well as high P content, assigns monazite, apatite, and sphene as a possible source of REEs in the study area.
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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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