Prediction Of Copper And Gold Polymetallic Deposits In Qinghe Area, Xinjiang

Qinghe is located in the east Margin of the Altai Mountains southwest slope and the northeast edge of junggar basin, Mayin Ebo fault diagonally across it, and the geological structure location is very important, it is one of the areas that geologists have been paying close attention to for a long time. This area is abundant in mineral resources, such as copper, gold, iron, coal, and rare metal related pegmatite veins, rare earth, mica, gem mineral.This article comprehensively collected the previous geological and mineral researches, and acquired a lot of information by comprehensive and systematic analysis of the geological background, geochemical conditions and remote sensing characteristics. Based on MAPGIS 6.7 and mineral resource prediction and evaluation expert system(MORPAS 3.0), the metallogenic information of copper and gold deposits in the research area was quantitatively extracted and evaluated. Finally, some prospecting target areas were delineated. The main achievements of this paper are listed as follows:1. The geological data of Qinghe area were systematically collected. Text data were classified and merged, also maps were vectorized and added attribute. The geoscience spatial information database of research area has been established.2. The distribution characteristics of 14 kinds of geochemical elements related to mineralization in the research area are analyzed. To study the relationship among the elements, the cluster analysis method and principal component analysis were used and the combination of ore-forming elements in the research area was determined as Ag, Au, Cu, Hg and Zn.3. According to the forming mechanism of remote sensing and the spectral characteristics of multi spectral data. The information of alteration in the research area was extracted by using the masking, the principal component analysis method and the threshold segmentation method of ETM+ data in the research area.4. Based on GIS platform, the research area geology, geochemistry and remote sensing data were quantitatively analyzed, the multiple metallogenic information were extracted, and comprehensive information ore prospecting model has been established.5. Applying weight of evidence method evaluated metallogenic predictors in the ore prospecting model, and outlined 6 ore favorable prospecting areas, including 2Ⅰtype, 2Ⅱtype and 2Ⅲ type.