协克里格法和分形模型在识别伊朗东南部Janja地区地球化学异常中的应用与比较

Q3 Engineering
A. Daya, M. H. Nasab
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引用次数: 3

摘要

在本研究中,共克里格模型用于确定伊朗东南部詹贾的地球化学浓度。协同克里格是空间统计学中的一种多变量预测方法,它既考虑了空间相关性,又预测了变量之间的相关性。此外,还利用分形集中区(C-A)模型确定了Janja地区的地球化学异常。利用300个水系沉积物样品中的Au、Cu、Mn、Zn、Fe、As、Mo和Pb等8种元素对地球化学异常进行了识别。通过协同克里格和分形建模获得的地球化学图表明,铜和金的地球化学异常位于研究区的北部、西北部和中部。元素异常图的比较表明,该地区的金、铜、钼和铁元素之间存在相关性。此外,砷与金和铜元素之间呈负相关,该区域的金和铜与锰、铅和锌之间没有任何相关性。为了更仔细地检验研究结果,使用浓度-面积(C-A)分形模型对一些数据进行了分析和评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application and comparison of the cokriging and the fractal model for identifying geochemical anomalies in Janja area, SE Iran
In this study, the cokriging model was used for determining the geochemical concentrations in Janja, SE Iran. Cokriging is a multivariate prediction method in spatial statistics which considers the spatial dependence as well as predicting the dependence between variables. In addition, fractal concentration-area (C-A) model was used for determining the geochemical anomalies in Janja region. Eight elements (Au, Cu, Mn, Zn, Fe, As, Mo and Pb) from 300 stream sediment samples were used to identify geochemical anomalies. The geochemical maps obtained from cokriging and fractal modelling showed that geochemical anomalies for copper and gold are located in the north, NW, and centre of the study area. Comparing the anomalies maps of the elements showed a correlation between elements of gold, copper, molybdenum, and iron in the region. Also, a negative correlation was determined between arsenic with gold and copper elements and there was not any correlation between the gold and copper elements of the region with manganese, lead, and zinc. For examining the results of the studies more closely, some of the data were analysed and evaluated using concentration-area (C-A) fractal model.
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来源期刊
International Journal of Mining and Mineral Engineering
International Journal of Mining and Mineral Engineering Engineering-Industrial and Manufacturing Engineering
CiteScore
1.90
自引率
0.00%
发文量
1
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