Application of GIS-based weights of evidence method for mineral quantitative prediction: A case study on Alukerqin area, Inner Mongolia, China.

Alukerqin area spans three mineralization belts—the main peak of Daxing′anling, the east-slope of Daxing′anling and the west-slope of Daxing′anling. Having the advantageous of mineral-formation conditions, Alukerqin area is rich in underground mineral resources in Chifeng City , Inner Mongolia Autonomous Region. Based on the geological anomaly theory and using the mathematical statistic methods, this work synthesize some basic information including geology data, geophysics data, geochemistry data, remote sensing data and mineral resources database. Then we find multivariate data related with mineralizing process such as strata , structural, magmatic rocks, aeromagnetic survey, gravimetric survey, geochemical exploration and remote sensing by GIS technology. Moreover, according to the geological anomaly theory, we select most important digital data from these layers as favorable mineralization factors of the evidence weights method which was initiated by Dr. Agterberg in this work, we select 15 important layers from all data as evidence factors to predict and evaluate the nonferrous metals deposit which were generated by hydrothermal activity including Cu, Pb and Zn. So we divided 3 metallogenetic prospective areas in Alukerqin area.