Journal of Jilin University(Earth Science Edition) ›› 2021, Vol. 51 ›› Issue (4): 1054-1063.doi: 10.13278/j.cnki.jjuese.20200181

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Multifractal Characteristics of Metallogenic Elements and Their Implications to the Mineralization Intensity in Pulang Porphyry Copper Deposit

Wan Li1,2, Liu Hui1, Zeng Xiangjian1   

  1. 1. School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006, China;
    2. Key Laboratory of Mathematics and Interdisciplinary Sciences of Guangdong Higher Education Institutes (Guangzhou University), Guangdong 510006, China
  • Received:2020-12-01 Online:2021-07-26 Published:2021-08-02
  • Supported by:
    Supported by the National Natural Science Foundation of China (41872246) and Innovation Research for the Postgraduate of Guangzhou University (2020GDJC-M33)

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Abstract: The variation of the ore-forming element grade, determined by the geological process, have strong random and nonlinearity features. Identifying the characteristics of ore-forming elements is of significance for better understanding the ore-forming process and mineral prospecting. In this paper, the multifractal detrending moving average (MFDMA) model is applied to describe the multifractal characteristics of Cu element distributions and their implications to mineralization intensity in the No.4 exploration line borehole from Pulang porphyry copper deposit in Yunnan, China. The results reveal that the sequence of Cu in all boreholes exhibits multifractal scaling and local singularity differences in different mineralization grades. The multifractal strength increases with the decrease of mineralization intensity. The high grade Cu of strongly mineralized boreholes is relatively enriched in the inner side of the potassium silicification-sericitization zone, while is relatively dispersed in the outer hornization-qingpanlithalization zone. Moreover, hrough analyzing the data that are arranged in random order in the shuffling procedure, we find that the multifractality structure of Cu grades series is due to both the fat-tail probability density function and long-range correlation, and the latter is more significant than the former.

Key words: multifractal detrended moving average (MFDMA) method, multifractal scaling, singularity, metallogenic element, mineralization intensity, Pulang porphyry copper deposit

CLC Number: 

  • P618.41
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