Citation: | Shi-hong Zhang, Ke-yan Xiao, Jian-ping Chen, Jie Xiang, Ning Cui, Xiao-nan Wang, 2019. Development and future prospects of quantitative mineral assessment in China, China Geology, 2, 198-210. doi: 10.31035/cg2018097 |
Mineral potential assessment at the Earth’s surface has been an important research for geoscientists around the world in the past five decades. The fundamental aspects of mineral assessment at different scales can be associated with the following tasks, e.g., mineral potential mapping and estimation of mineral resources. This paper summarized the history and development in terms of theories, methods technologies and software platforms for quantitative assessment of mineral resources in China, e.g. comprehensive information methodology, geological anomaly, three-component quantitative prediction method, 5P ore-finding area, integrated information assessment method, nonlinear process modeling and fractals, three dimensional mineral potential mapping, etc. At last, to discuss the future of quantitative mineral assessment in an era of big data including platform for 3D visualization, analysis and sharing, new methods and protocols for data cleaning, information enhancement, information integration, and uncertainties and multiple explanations of multi-information.
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[134] | Zhao PD, Hu WL. 1992. Geologic anomaly theory and mineral resource prognosis. Xinjiang Geology, 2, 93–100 (in Chinese with English abstract). |
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[136] | Zhao PD, Chen YQ, Jin YY. 2000. Quantitative delineation and assessment of "5P" ore-finding area on the basis of geoanomaly principles. Geological Review, S1, 6–16 (in Chinese with English abstract). |
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[141] | Zhao PD. 2015. Digital mineral exploration and quantitative evaluation in the big data age. Geological Bulletin of China, 34(7), 1255–1259 (in Chinese with English abstract). |
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Relationship between Model-based integrated information volumetric method and deposit modeling method of resource assessment(modified from Kingston GA et al., 1978; Xiao KY et al., 2010b).
The delineation of prospecting target at different scale and depth.
Characteristic of geoscience big data and circulation (modified from Markus R et al., 2019; Zhao PD, 2015).
Service platform for extraction, analysis and sharing based on geoscience big data.