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Volume 19 Issue 4
Aug 2008
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Article Contents
Shu-yun XIE, Qiu-ming CHENG, Xian-zhong KE, Zheng-yu BAO, Zhang-ming WANG, Hao-li QUAN. Identification of Geochemical Anomaly by Multifractal Analysis. Journal of Earth Science, 2008, 19(4): 334-342.
Citation: Shu-yun XIE, Qiu-ming CHENG, Xian-zhong KE, Zheng-yu BAO, Zhang-ming WANG, Hao-li QUAN. Identification of Geochemical Anomaly by Multifractal Analysis. Journal of Earth Science, 2008, 19(4): 334-342.

Identification of Geochemical Anomaly by Multifractal Analysis

Funds:

the National Natural Science Foundation of China 40525009

the National Natural Science Foundation of China 40638041

the National Natural Science Foundation of China 40502029

the National Natural Science Foundation of China 40373003

More Information
  • Corresponding author: Xie Shuyun, E-mail: tinaxie2006@hotmail.com
  • Received Date: 30 Mar 2008
  • Accepted Date: 09 May 2008
  • The separation of anomalies from geochemical background is an important part of data analysis because lack of such identifications might have profound influence on or even distort the final analysis results. In this article, 1 672 geochemical analytical data of 11 elements, including Cu, Mo, Ag, Sn, and others, from a region within Tibet, South China, are used as one example. Together with the traditional anomaly recognition method of using the iterative mean ±2σ, local multifractality theory has been utilized to delineate the ranges of geochemical anomalies of the elements. To different degrees, on the basis of original data mapping, C-A fractal analysis and singularity exponents, Sn differs from the other 10 elements. Moreover, geochemical mapping results based on values of the multifractal asymmetry index for all elements delineate the highly anomalous area. Similar to other 10 elements, the anomalous areas of Sn delineated by the asymmetry index distribute along the main structure orientations. According to the asymmetry indexes, the 11 elements could be classified into 3 groups: (1) Ag and Au, (2) As-Sb-Cu-Pb-Zn-Mo, and (3) Sn-Bi-W. This paragenetic association of elements can be used to interpret possible origins of mineralization, which is in agreement with petrological analysis and field survey results.

     

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