Abstract:

Peru, locating in Andes of South America metallogenic belt, has good metallogenic conditions. Southern Peru is selected to do prospecting area prognosis. Using GIS technology, the geological, mining, aeromagnetic, geochemical and remote sensing multi-source data experienced different processing methods such as relevance analysis, reduction to pole, continuation, principal component analysis, ratio analysis, and so on, then multisource prospecting information also was extracted. On the basis of the above, the prospecting information-content metallogenic prognosis model was built, and 23 important geological variables were selected, then information values and geological complexities were calculated, and eight metallogenic prospect areas were obtained in the end. The experiences of multi-source processing methods and information-content metallogenic prognosis model  are very useful in small scale metallogenic prognosis.

Key words: GIS, prospecting information, metallogenic prognosis, southern Peru