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2016 | OriginalPaper | Chapter

1. Singularity-Based Geo-Information Extraction for Characterizing Mineralization-Associated Geological Processes in Gejiu Mineral District, China

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Abstract

Singularity theory is an efficient way to quantify spatial variations of physical/chemical properties caused by geological processes. This study demonstrates several applications of singularity-based geo-information extraction. Choosing hydrothermal mineralization in Gejiu mineral district, China as an example, different singularity index estimation methods are employed to analyze controlling factors of the mineralization. At the end, this study introduces a fault-oriented singularity index estimation method. In comparison with the original singularity index, the new singularity index estimation method is able to describe anisotropy of geochemical/geophysical properties; meanwhile, controlling effects of fault activities on the hydrothermal mineralization can be quantified accordingly.

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Literature
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go back to reference Cheng, Q. and Agterberg, F.P.: Singularity analysis of ore-mineral and toxic trace elements in stream sediments. Comp Geosci, 35, 234–244 (2009) Cheng, Q. and Agterberg, F.P.: Singularity analysis of ore-mineral and toxic trace elements in stream sediments. Comp Geosci, 35, 234–244 (2009)
2.
go back to reference Zhuang, Y., Wang, R., Yang, S. and Yi, J.: Geology of Gejiu tin-copper polymetallic deposit. Earthquake Publishing House (1996) Zhuang, Y., Wang, R., Yang, S. and Yi, J.: Geology of Gejiu tin-copper polymetallic deposit. Earthquake Publishing House (1996)
3.
go back to reference Xiong, G. and Shi, S.: Physical-geological model of the Gejiu tin district and its application. Geo Rev, 40, 19–27 (1994) Xiong, G. and Shi, S.: Physical-geological model of the Gejiu tin district and its application. Geo Rev, 40, 19–27 (1994)
Metadata
Title
Singularity-Based Geo-Information Extraction for Characterizing Mineralization-Associated Geological Processes in Gejiu Mineral District, China
Authors
Wenlei Wang
Jie Zhao
Qiuming Cheng
Copyright Year
2016
DOI
https://doi.org/10.1007/978-3-319-18663-4_1