非线性成矿预测理论: 多重分形奇异性-广义自相似性-分形谱系模型与方法

成秋明

Volume 31 Issue 3

May 2006

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CHENG Qiu-ming, 2006. Singularity-Generalized Self-Similarity-Fractal Spectrum (3S) Models. Earth Science, 31(3): 337-348.

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CHENG Qiu-ming, 2006. Singularity-Generalized Self-Similarity-Fractal Spectrum (3S) Models. Earth Science, 31(3): 337-348.

CHENG Qiu-ming, 2006. Singularity-Generalized Self-Similarity-Fractal Spectrum (3S) Models. Earth Science, 31(3): 337-348.

Citation:

CHENG Qiu-ming, 2006. Singularity-Generalized Self-Similarity-Fractal Spectrum (3S) Models. Earth Science, 31(3): 337-348.

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Singularity-Generalized Self-Similarity-Fractal Spectrum (3S) Models

CHENG Qiu-ming^{1, 2
,}

1.
State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan 430074, China
2.
Department of Earth and Space Science and Engineering, Department of Geography, York University, Toronto M3J1P3, Canada

Received Date: 2006-03-08
Publish Date: 2006-05-25

Abstract

Abstract

This paper introduces a new framework of mineral resource assessment according to the principle of multifractal modeling, particularly, Singularity, Generalized Self-Similarity and Fractal Spectrum (3S). It has been demonstrated that the concepts and models relevant to multifractal theory are useful not only for characterizing the fundamental properties of non-linearity of the mineralization processes, the singular distribution of mineral deposits and ore element concentrations in mineral districts, but also for singularity analysis and anomaly delineation. The theory can explain many properties of mineralization and spatial-temporal distribution spectra of mineral deposits such as mineral aggregation, singular distribution of element concentration, multifractal tonnage-grade model, fractal growth of minerals, and self-organized processes. Integrating multifractal principals, mineralization processes, distribution of mineral deposits, and resource assessment have resulted in an effective new approach for mapping mineral resources and modeling mineral targets. Together with the advanced GeoDAS GIS technology it serves as a novel principal methodology and technology for mineral resource assessment.
- non-linear mineral deposit model,
- multifractal mineralization prediction,
- generalized self-similarity,
- singularity,
- fractal spectrum,
- metal mineral resources,
- GeoDAS GIS technology,
- mineral resource assessment

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References(61)

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