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《》 2003-04
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Non-Linear Mineralization Model and Information Processing Methods for Prediction of Unconventional Mineral Resources

CHENG Qiu-ming 1,2 (1.Laboratory of Earth Systems and Mineral Resources Engineering, China University of Geosciences, Wuhan430074, China; 2.Department of Earth and Atmospheric Science, York University, Toronto, CanadaM3J1P3)  
A non-linear mineralization model was proposed on the basis of a classical igneous differentiation mineralization model which can describe the generation of multi-fractal distribution of element concentration as well as grade-tonnage fractal/multi-fractal model. The work has also led to a model to explain the common properties of mineralization and mineralization-associated geochemical anomaly diversity and generalized self-similarity of the anomalies. Generalized self-similarity is related to the generalized scaling invariance which can characterize the external diversity and internal similarity of natural phenomena including mineralization and occurrence of mineral deposits. The models based on core principal of generalized self-similarity and singularity analysis have been applied to a case study of Co-Ni-Ag-As-Pb mineral resources assessment in the Gowganda area of Abitibi district, northern Ontario, Canada. The results have demonstrated that the non-linear models proposed in the current research are effective for delineating week lake sediment and water geochemical anomalies caused by deeply buried sources or week anomalies superimposed to low background values.
【Fund】: 科技部“863”项目“非线性信息提取基础研究”专题 ;; 加拿大自然科学基金“研究和开发矿产资源和环境评价GIS空间分析和多重分形方法和系统”项目 (No .NSERC -OGP0 183 993 ) .
【CateGory Index】: P612
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