Using stream sediment data to determine geochemical anomalies by statistical analysis and fractal modeling in Tafrash Region, Central Iran

Abstract

Iranian Cenozoic magmatic belt, known as Urumieh-Dokhtar, is recognized as an important polymetallic mineralization which hosts porphyry, epithermal, and polymetallic skarn deposits. In this regard, multivariate analyses are generally used to extract significant anomalous geochemical signature of the mineral deposits. In this study, stepwise factor analysis, cluster analysis, and concentration–area fractal model have been used to delineate geochemical anomalies associated with skarn mineralization, based on Au, Cu, Pb, Zn, Ag, Mo, W, Sn, and As stream sediment data. These results indicate that the Urumieh-Dokhtar belt potentially hosts Au skarn deposits. The hybrid method combining the statistical analysis and C-A fractal model is an effective tool to identify geochemical anomalies