2007
DOI: 10.1016/j.oregeorev.2006.10.002
|View full text |Cite
|
Sign up to set email alerts
|

Mapping singularities with stream sediment geochemical data for prediction of undiscovered mineral deposits in Gejiu, Yunnan Province, China

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

1
272
0
5

Year Published

2014
2014
2022
2022

Publication Types

Select...
5
3
1

Relationship

1
8

Authors

Journals

citations
Cited by 558 publications
(278 citation statements)
references
References 9 publications
1
272
0
5
Order By: Relevance
“…Log-log plots in fractal/multifractal modeling, being consistent with the widely accepted view that fractality always accompanies phase-changes [36], are accurate tools for delineating geological populations or geochemical zones, with breakpoints in those log-log plots representing threshold values [19,21]. The application of fractal models to the detection of mineralized zones is based on relationships between ore grades and occupied volumes or tonnages [19,27,[37][38][39][40][41][42][43].…”
Section: Introductionmentioning
confidence: 74%
See 1 more Smart Citation
“…Log-log plots in fractal/multifractal modeling, being consistent with the widely accepted view that fractality always accompanies phase-changes [36], are accurate tools for delineating geological populations or geochemical zones, with breakpoints in those log-log plots representing threshold values [19,21]. The application of fractal models to the detection of mineralized zones is based on relationships between ore grades and occupied volumes or tonnages [19,27,[37][38][39][40][41][42][43].…”
Section: Introductionmentioning
confidence: 74%
“…Examples of fractal models include the number-size (N-S) model proposed by Mandelbrot [14], the concentration-area (C-A) model of Cheng et al [16], the concentration-perimeter (C-P) model of Cheng et al [17], the concentration-distance (C-D) model proposed by Li et al [18], and the concentrationvolume (C-V) model of Afzal et al [19]. Fractal/multifractal modeling assists in identifying relationships between geological, geochemical, and mineralogical settings and linking them to spatial information obtained from mineral deposits [19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35]. Various geochemical and mineralization processes can be defined due to differences in fractal dimensions, based on analysis of relevant geochemical data.…”
Section: Introductionmentioning
confidence: 99%
“…Stream sediment and lithogeochemical studies are essential for prospecting of different ore deposits (Hawkes & Webb, 1979). Several methods are used for geochemical data interpretation and modelling such as classical statistics (e.g., Tukey, 1977;Hawkes & Webb, 1979;Reimann et al, 2005), fractal and multifractal modelling (Cheng et al, 1994;Agterberg et al, 1996;Cheng, 1999;Li et al, 2003;Zuo et al, 2009;Afzal et al, 2010a;Afzal et al, 2010b) and singularity modeling (Cheng, 2007). Fractal theory has been established by Mandelbrot (1983) as an important non-Euclidean branch in geometry.…”
Section: Introductionmentioning
confidence: 99%
“…Recent studies have shown that the mineralization processes often are complex system occurring in an anomalous environment [1,2]. Identification of the anomalous extent or the influenced domain of the complex mineralization system is essential for mineral exploration [3,4].…”
Section: Introductionmentioning
confidence: 99%