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| Titel |
Multi-scale interactions of geological processes during mineralization: cascade dynamics model and multifractal simulation |
| VerfasserIn |
L. Yao, Q. Cheng |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 18, no. 2 ; Nr. 18, no. 2 (2011-03-08), S.161-170 |
| Datensatznummer |
250013891
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| Publikation (Nr.) |
 copernicus.org/npg-18-161-2011.pdf |
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| Zusammenfassung |
| Relations between mineralization and certain geological processes are
established mostly by geologist's knowledge of field observations. However,
these relations are descriptive and a quantitative model of how certain
geological processes strengthen or hinder mineralization is not clear, that
is to say, the mechanism of the interactions between mineralization and the
geological framework has not been thoroughly studied. The dynamics behind
these interactions are key in the understanding of fractal or multifractal formations
caused by mineralization, among which singularities arise due to anomalous
concentration of metals in narrow space. From a statistical point of view, we
think that cascade dynamics play an important role in mineralization and
studying them can reveal the nature of the various interactions throughout
the process. We have constructed a multiplicative cascade model to simulate
these dynamics. The probabilities of mineral deposit occurrences are used to
represent direct results of mineralization. Multifractal simulation of
probabilities of mineral potential based on our model is exemplified by a
case study dealing with hydrothermal gold deposits in southern Nova Scotia,
Canada. The extent of the impacts of certain geological processes on gold
mineralization is related to the scale of the cascade process, especially to
the maximum cascade division number nmax. Our research helps to
understand how the singularity occurs during mineralization, which remains unanswered up to now, and the simulation may provide a more accurate
distribution of mineral deposit occurrences that can be used to improve
the results of the weights of evidence model in mapping mineral potential. |
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