Prediction Of Mineral Resources In Central And Southern Peru Based On GIS

Peru, located in central South America, the Pacific East Bank, occupied the critical section of the Andean tectonic metallogenic belt in South America. Enrichment of mineral resources, especially Au,Ag,Cu,Pb,Zn and other precious metals or non-ferrous metals, rare in the world, also very rich in iron ore resources. Mining activity is a major industry in Peru, there have sound mining policy and a stable investment environment. Prediction and evaluation of mineral resources in Peru is one of the best strategic choice to implement China's "going out"strategy. Prediction and evaluation of mineral resources in Peru on the one hand to solve the problem of scarcity of mineral resources and achieve sustainable development of mining; the other hand,for Peru, as soon as possible the resource advantages into economic advantages, mutual benefit and win-win situation, of great significance.This paper gives an example of central southern region of Peru, about which using the weight method of evidence to predict the mineralization. First, collection of data which associated with the mineralization including geology,minin,remote sensing,geochemistry and aeromagnetic, then extract information from these multi-source data; Comprehensive analysis for the information which was extracted from multi-source geographic data through GIS spatial analysis, the thematic databases was preliminary established for forming favorable factors; Optimization of forming favorable factors, and ultimately determine the evidence layer of forming favorable factors; Under the conditions of structure, stratigraphy, intrusive rocks, combination with aeromagnetic, geochemical, remote sensing and other multi-source information to establish the weight of evidence prospecting model for the study area, calculation the weight of evidence factors and posterior probabilities, and generation the class diagram of posterior probabilities; Finally, combination of geology and mineralization conditions, delineated mineralization prospect area for the study area, then evaluation and analysis for the forecast results. Finally, there are A and B two types A and B of mineralization propective areas which a total of eleven delineated. On the predicted results show that the prospective areas had a better fit with the geology, mineral resources and a variety of multi-source information of the study area, consistent with geological facts, and have a very good indication significance for further exploration of the study area.This method improves the efficiency of exploration, moreover, makes the prediction more intuitive.Overall, Prediction of mineral resources in the central and southern Peru using this method has achieved relatively good results, reaching the purpose of forming projections.