عنوان مقاله English
نویسندگان English
Modeling mineral potential and identifying promising areas is one of the most important stages of preliminary exploration. Examining and understanding different and new modeling methods are important because of increasing the probability of discovery and reducing risk. The studied area in terms of structural divisions of the geological zones of Iran, includes parts of the volcanic belt and the metallogenic state of Sanandaj-Sirjan. According to the subduction and closure of the Neotethys ocean of the Sanandaj-Sirjan metamorphic belt due to the intrusion of mostly acidic calc-alkaline intrusive masses with the composition of mostly granite to granodiorite and quartz monzonite in older sedimentary and sometimes volcanic units, scattered mineralizations in this has created a zone. By using the data received from the Aster sensor, PCA method was used as an efficient and optimal method to detect the changes in the area. In the geochemistry, by analyzing the geochemical data, it was determined that Au, Cu, AS and Ag elements with a skewness above eight and a maximum value equal to several tens to several hundred times the global background value of these elements have a relative mineralization potential in this range. Among them, gold has an anomalous community. In the geochemical factor analysis, it was observed that in the first component, the highest factor load is for the elements Nb, La, Ce, Li, P, W, Fe, and then the Au element has a high factor load. This factor alone justifies about 25% of the total variability due to the multiplicity of the mentioned elements. After the preparation of remote sensing and geochemistry information layers, information integration was done using the new cellular weighting method and due to the presence of mines in areas with an overlap of 51%, the anomalies obtained with the mines of the region were identified.
کلیدواژهها English
