基于层次分析法的多元信息成矿预测研究-以西藏洛扎地区为例

Multiple Information Metallogenic Prediction Based on the Analytic Hierarchy Process: A Case Study of the Lhozhag Area in Tibet

本文以正在开展公益性基础地质矿产调查项目的西藏洛扎地区为例,选取SPOT-6、ETM+数据,开展遥感地质解译;选取ASTER数据开展遥感蚀变异常提取;通过1∶5万水系沉积物测量,开展地球化学异常提取;结合已有地质资料等信息,提取该地区成矿影响因子。采用层次分析法对各影响因子进行综合分析,计算出各因子的权重值。利用GIS平台,建立了层次分析评判的综合信息成矿预测模型,圈定了6个成矿远景区,通过野外调查发现了铜铅矿化,为该地区地质矿产调查工作提供了技术支持。

This paper presents multiple information metallogenic prediction for the Lhozhag area in Tibet where a project of basic geological and mineral surveys is underway. The SPOT-6 and ETM＋ data are selected for geologic interpretation of remote sensing imagery. From the ASTER data, the remote sensing alteration anomalies are extracted. A 1：50000 drainage sediment survey allows us to obtain geochemical anomalies. Combined with existing geological data and other information, this work determines the influence factors of the regional mineralization, which are then analyzed by the analytic hierarchy process （AHP）, and the weight values of each factor are calculated. Using the GIS platform, all weight factors are analyzed by stack, and six prospect areas of mineralization are delineated. In light of this prediction, copper and lead mineralization sites are found through field investigations, providing technical support to geological and mineral resource surveys in this region.