Predicetion Using Multi-source Information Of Gold Mine At Kalamaili Mineralization Belt In East Junggar

The Kalamaili gold belt is located in Siberia plate and Junggar plate suture zone, developed lots of deep faults, belongs to Kalamaili Moqinwula mineralization belt, excellent conditions for Au mineralization. Has great potential of forming large gold mine, which is the important gold and polymetallic belt of Xinjiang.This article takes Shuangquan and Kubusu as typical gold mine, duscuss Metallogenic Geological Characteristics, summed up ore control factors. Mineralization was contraled by faults obviously at study area. Mineralization usually formed in densely faults area and the place nearby. Strata has Metallogenetic Specialization, more than 90% gold points distribute on Devonian and Carboniferous, both of them have high Au background value. Mineralization also is contraled by hydrothermal activity range, usually developed in external contact zone of rock mass.Combine typical gold mine, collected 1:200000 geological map, 1:200000 geochemical date and Landsat ETM+ remote sensing image. In ArcGIS platform establish space database for unification and integration.On the remote sensing image geometric correction, image fusion, image Mosaic, image cropping and image enhancement processing, combination with geological map to build geological factors. Mainly includes the deposit(volcanic rock), intrusive rocks, altered rocks, faults, mines and other factors. The aeromagnetic data and geochemical data do normal distribution, spatial interpolation processing to establish physic-chemical factors.Determined by relationship between single factor and mineralization, that fault distance, Strata, Au element geochemical anomaly as the main impact factor; Fault density, hydrothermal activity range for the secondary impact factor; As geochemical anomaly and aeromagnetic data for the impact factor, which is not involved in comprehensive evaluation.In ArcGIS platform, based on the impact factor of mineralization favorable degrees size with different weights. Calculation results based on grid layer and grid computing. The high value is more conducive to mineralization.On the basis of comprehensive analysis of multi-source information, finally selects five metallogenic potential areas. Qinshui metallogenic potential area, Shuangquan metallogenic potential area, East Sujiquan metallogenic potential, Kubusu metallogenic potential area, Beitashan metallogenic potential area. Two of them has been setted as gold, copper exploration area.