The aim of this study is to separate and subsequently determine geochemical anomalies for exploration of Cu mineralization in Noubaran 1:100,000 sheet, situated in the Urumieh-Dokhtar magmatic belt, Center of Iran. To do this, stepwise factor analysis and also a Concentration-Number (C-N) fractal modeling were used. Stepwise factor analysis can be effective in exact recognition of reciprocal genetic correlation between elements and data classification based on distinct elements associated with the studied deposit. Accordingly, after applying four steps of factorization, all the noise elements which had no role in the formation of geochemical processes were eliminated, and finally, factor score of Bi, Ag, and Cu were calculated. A C-N log-log plot for factor scores were plotted, and five threshold values were determined in order to delineate mineral potential maps of the target elements. The designated regions on the mineral potential map are in the NE, S, more limited in the SE, and the central parts of the area which show clear correlation with alteration zones. Field observation, mineralographical and petrographical studies of the polished and thin sections, and also AAS, ICP-MS, XRD analyses indicate pyrite, chalcopyrite, chalcocite, covellite, and bornite mineralizations are associated with sub-volcanic and intrusive rocks. Considering the evidence, it can be deduced that the effect of the postmagmatic fluids on Eocene pyroclastic units has led to the creation of the alterations and sulfide mineralized siliceous vein-veinlet.

This study aims at prospecting copper and gold promising areas in Saveh 1:100,000 sheet, situated in Urumieh-Dokhtar magmatic belt (Central Iran). Geographic information system (GIS) is effective in recognition of probable mineral resources by collecting, processing, exploration layer weighting and integrating thematic maps. As there is no certainty in different geological phenomena, modeling and integrating information layers are used to obtain suitable results for determining potential areas. In this study, index overlay method, which is a combination of software processing and expertise knowledge, was used. The survey layers consist of the lithologic units, geophysical data, mineralization, faults and structures and alteration. For more exact survey, concentration-area (C-A) fractal modeling was applied to the map of results obtained from integration. Applying fractal model to this map, the results of the original map were prioritized and became more limited. In the end for assessing the validity of determined promising areas, the results were compared with geochemical anomaly maps of stream sediments and also field observation was performed. Areas with high exploration priority with limited extend exist in center, west and some parts of NW, conformed to granodiorite intrusives and also next priority exists in center, west, NE and NW conformed to granite, diorite, and also subvolcanic rocks respectively. These prioroties are related to fault systems. In order to perform X-ray Diffraction (XRD), Inductively Coupled Plasma – Mass Sepctrometry (ICP-MS) analyses and microscopic studies, lithogeochemical samplings were done. All investigations indicate the possibility of pyrite, chalcopyrite and galena epithermal mineralizations resulted from post magmatic fluids, and also secondary products like hematite, goethite, and malachite as a result of oxidation processes in these areas.