位于南美安第斯成矿带中部的秘鲁具有良好的成矿条件.选取秘鲁南部进行成矿远景区优选,为企业快速确定勘查靶区.以GIS技术为手段,对其地质、矿产、航磁、化探、遥感等多源数据运用相关分析、化极延拓、主成分分析、比值处理等不同数据处理方法,提取多源成矿信息.在此基础上,划分单元格,建立信息量概率成矿预测模型,选择23个有利找矿变量,统计综合信息量和地质复杂度,最终圈定8处成矿远景区.提出的多源数据处理方法和建立的信息量概率成矿预测模型为多源数据合理应用于小比例尺成矿预测提供了参考.%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, aero-magnetic, 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.
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