Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-27T23:19:13.656Z Has data issue: false hasContentIssue false
  • English
  • Français

Mapping singularities — a technique to identify potential Cu mineral deposits using sediment geochemical data, an example for Tibet, west China

Published online by Cambridge University Press:  05 July 2018

R. Zuo  and
Q. Cheng
R. Zuo*
Affiliation:
State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan, Hubei, 430074, China The Faculty of Earth Resources, China University of Geosciences, Wuhan, Hubei 430074, China Department of Earth and Space Science and Engineering, Department of Geography, York University, Keel Street, Toronto 4700, Ontario, Canada M3J IP3
Q. Cheng
Affiliation:
State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan, Hubei, 430074, China The Faculty of Earth Resources, China University of Geosciences, Wuhan, Hubei 430074, China Department of Earth and Space Science and Engineering, Department of Geography, York University, Keel Street, Toronto 4700, Ontario, Canada M3J IP3
*
*E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Geochemical anomalies can be used in mineral resource exploration. We demonstrate a technique for mapping anomalies. The Gangdese mineral district in Tibet, west China was chosen as a study area for identifying geochemical anomalies and predicting Cu mineral resources using sediment geochemical data. The results show that the anomalies are associated both with known deposits in the middle of the study area, but also with E—W and N——E oriented faults in the north of area. These areas should be explored for undiscovered Cu mineral deposits.

Keywords

multifractalsingularitygeochemical anomalyexplorationTibet
Type
Research Article
Information
Mineralogical Magazine , Volume 72 , Issue 1 , February 2008 , pp. 531 - 534
Copyright
Copyright © The Mineralogical Society of Great Britain and Ireland 2008

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Cheng, Q. (2000) GeoData Analysis System (GeoDAS) for mineral Exploration: User's Guide and Exercise Manual. Material for the training workshop on GeoDAS held at York University, Toronto, Canada, 204, http://www.gisworld.org/geodas.Google Scholar
Cheng, Q. (2006) Singularity-generalized self-similarity-fractal spectrum (3S) model, earth Science. Journal of China University of Geosciences, 31, 337–348.Google Scholar
Cheng, Q. (2007) Mapping singularities with stream sediment geochemical data for prediction of undiscovered mineral deposits in Gejiu, Yunnan Province, China. Ore Geology Reviews, 32, 314–324.CrossRefGoogle Scholar
Cheng, Q., Agterberg, F.P. and Ballantyne, S.B. (1994) The separation of geochemical anomalies from background by fractal methods. Exploration Geochemistry, 51,109–130.Google Scholar
Cheng, Q., Xu, Y. and Grunsky, E. (2000) Multifractal power spectrum-area method for geochemical anomaly separation. Natural Resources Research, 9, 43–51.CrossRefGoogle Scholar
Li, Q. and Cheng, Q. (2004) Fractal singular-value (Egin-value) decomposition method for geophysical and geochemical anomaly reconstruction. Journal of China University of Geosciences, 29, 109–118.Google Scholar
Zuo, R., Xia, Q., Tan, N., et al. (2007) Synthetic information prediction of porphyry copper in Tibet. Central South University of Technology, 38, 368–373 (in Chinese with English abstract).Google Scholar