Abstract:

On the basis of metallogenic regularities of copper polymetallic deposits in Narenbaolige area and adjacent region, multivariate geological prospecting information is extracted by GIS software, including geological, geophysiccal，geochemical and remote sensing data. These data were divided into 18 mineralized variations. Weight of evidence modeling is applied to map copper polymetallic potential areas based on MRAS software in this study area. Four grades metallogenic condition and nine mineralization vision zones were delineated based on the posterior probability map. The result indicated that the model is efficient，and up to 95% deposits are located in the area which was equal or better than Grade-D favorable prospecting area. Among the ore-forming and ore-controlling factors, strata of Zenglongchang Group and Agulugou Formation, liner structure, combination RS alteration and combination geochemical anomalies of iron group elements have greater weight than other factors. Narenbalige mineralization vision zones and South Huogeqi mineralization vision zone have good prospects for finding undiscovered Cu, Pb, Zn and Fe mineral resources.

Key words: multivariate geological information, geographic information system (GIS), weight of evidence modeling, metallogenic prognosis, Narenbaolige area, ore deposits