地球化学数据含量—面积多重分形方法中台阶效应的处理方法

doi:10.11720/wtyht.2020.1478

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Abstract

In the geochemical stream sediment survey, obvious differences in geochemical backgrounds of different geological bodies will affect the anomaly delineation and even lead to enhancement of anomalies irrelevant to mineralization, which weakens the mineralization-related weak anomalies. In this paper,the influence of step effect data on the fractal distribution form is discussed from the mathematical view based on the superposition law of fractal distribution, and an improved method for eliminating step effects in concentration-area fractal theory is proposed.In this method, the authors divide the study area based on geochemical background and then discuss fractal distribution forms respectively.The result shows that this method can accurately filter irrelevant lithology information and identify weak anomalies caused by mineralization in low-background sub-zone. It is applicable to the extraction of geochemical mineralization-related anomaly in the areas seriously affected by lithology.

Key words： multifractal stream sediment survey concentration-area method step effect

Received: 10 October 2019 Published: 29 December 2020

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Corresponding Authors: GAO Shun-Bao E-mail: 252094146@qq.com;gaoshunbao2002@163.com

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	Deng-Hui HAN
	Shun-Bao GAO
	You-Ye ZHENG
	Xin CHEN
	Xiao-Jia JIANG
	Yan-Rong GU
	Chen-Chen YAN

Cite this article:

Deng-Hui HAN,Shun-Bao GAO,You-Ye ZHENG, et al. A processing technique of step effect in concentration-area multifractal method[J]. Geophysical and Geochemical Exploration, 2020, 44(6): 1420-1428.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2020.1478 OR https://www.wutanyuhuatan.com/EN/Y2020/V44/I6/1420

Double logarithmic plots before(a) and after(b) superposition of two sets of ideal geochemical data in accordance with fractal laws

27], sketch map of regional mineral resources(b) and geological map(c) in Pujie area
1—upper Carboniferous-lower Permian Laga formation(C₂P₁l); 2—lower Permian Angjie formation(P₁a); 3—Paleocene Dianzhong formation(E₁d); 4—Eocene Nianbo formation(E₂n); 5—upper Cretaceous Jiangba formation(K₂jb); 6—intrusions; 7—Quaternary sediments(Q); 8—Duijiala reverse fault
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Tectonics and position regional map of Gangdise(a)^[27], sketch map of regional mineral resources(b) and geological map(c) in Pujie area
1—upper Carboniferous-lower Permian Laga formation(C₂P₁l); 2—lower Permian Angjie formation(P₁a); 3—Paleocene Dianzhong formation(E₁d); 4—Eocene Nianbo formation(E₂n); 5—upper Cretaceous Jiangba formation(K₂jb); 6—intrusions; 7—Quaternary sediments(Q); 8—Duijiala reverse fault

Statistic characteristic geochemistry exploration data from Pujie area

Geochemistry contour map and background division from Pujie area
a—geochemical contour map of Cu; b—geochemical contour map of Zn; c—geochemical contour map of Au; d—geochemical background division from Pujie area; 1—subzone of Carboniferous-Permian sedimentary strata;2—subzone of Paleogene volcanic strata

Concentration-area double logarithmic plot and section lines fitting patterns of Ag(a),Pb(b),Zn(c),Au(d),Sn(e),W(f) in whole-area from Pujie area

Concentration-area double logarithmic plot and section lines fitting patterns of Ag(a),Pb(b),Zn(c),Au(d),Sn(e),W(f) in subzone-1 from Pujie area

Concentration-area double logarithmic plot and section lines fitting patterns of Ag(a),Pb(b),Zn(c),Au(d),Sn(e),W(f) in subzone-2 from Pujie area

Inflect points of fitting straight line in concentration-area double logarithmic plot from two subzones and whole-area of Pujie area

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