地质异常的奇异性度量与隐伏源致矿异常识别

成秋明

doi:10.3799/dqkx.2011.032

Volume 36 Issue 2

Mar. 2011

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CHENG Qiu-ming, 2011. Singularity Modeling of Geo-Anomalies and Recognition of Anomalies Caused by Buried Sources. Earth Science, 36(2): 307-316. doi: 10.3799/dqkx.2011.032

Citation:

CHENG Qiu-ming, 2011. Singularity Modeling of Geo-Anomalies and Recognition of Anomalies Caused by Buried Sources. Earth Science, 36(2): 307-316. doi: 10.3799/dqkx.2011.032

CHENG Qiu-ming, 2011. Singularity Modeling of Geo-Anomalies and Recognition of Anomalies Caused by Buried Sources. Earth Science, 36(2): 307-316. doi: 10.3799/dqkx.2011.032

Citation:

CHENG Qiu-ming, 2011. Singularity Modeling of Geo-Anomalies and Recognition of Anomalies Caused by Buried Sources. Earth Science, 36(2): 307-316. doi: 10.3799/dqkx.2011.032

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Singularity Modeling of Geo-Anomalies and Recognition of Anomalies Caused by Buried Sources

doi: 10.3799/dqkx.2011.032

CHENG Qiu-ming^{1, 2, 3
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1.
State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan 430074, China
2.
State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Beijing 100083, China
3.
Department of Earth and Space Science and Engineering, Department of Geography, York University, Toronto M3J1P3, Canada

Received Date: 2010-12-20
Publish Date: 2011-03-01

Abstract

Abstract

This paper investigates the nonlinear properties of geo-anomalies related to mineralization. It was demonstrated that geochemical anomalies in stream sediments in Gejiu mineral district caused by Sn mineralization can be modeled by fractal and multifractal models and they depict singularity, discontinuity, chaoticality, and indifferentiality. It was also shown that the singularity calculated from 2D geochemical landscape can reflect the causes of buried sources. The concepts and methods were validated using the concentration values of trace elements Sn, Cu, As, Pb, Zn and Cd in stream sediments. The results obtained using windows-based local singularity analysis method not only provide anomalies in general agreement with the locations of known mineral deposits in the eastern Gejiu district but also new anomalies delineated in the other areas of Gejiu that provide potential target areas for further mineral exploration for undiscovered Sn mineral deposits. It is anticipated that the singularity analysis method introduced in the paper will become a new powerful tool applicable for quantitative prediction of buried mineral deposits in covered terrain.
- singularity,
- geological anomalies,
- buried sources,
- comprehensive predication of minerals,
- nonlinear analysis

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References(34)

References

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Singularity Modeling of Geo-Anomalies and Recognition of Anomalies Caused by Buried Sources

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