Recognition of Cu-Porphyry Mineralization Areas by Using One and multivariate integration methods on drainage geochemical data in Ghale Askar area, Kerman province

Ghale–Askar area is located in the east north of Baft city in which Cu-porphyry mineralization has occurred. 63 samples were analyzed for 24 elements such as U، Th، Ba، W،As، Mo، S، Bi، Re، Sn، Cr، Ni، V، Co، Sr، Zn، Mn، Cd، Pb، Sb، Au، Cu، Ag and Hg with ICP-Ms method. One and multivariate statistical techniques were applied on drainage geochemical data. To draw the map of elements’ anomaly، the threshold was calculated with gap statistics and methods; the results of the mentioned methods specified that the threshold value obtained from approach was greater than that of gap statistics and its map represented smaller region. The results of hierarchical cluster method showed six separated clusters that the fourth cluster including (Bi، Cu، S) and the fifth cluster including (Ni، U، Mo، S، Th، Cr) were identified as the center of mineralization. Moreover، the results of K-mean cluster method confirmed the results of hierarchical cluster method and represented the center of mineralization in red and green colors in that region. Besides، factor analysis was carried out and studying eigenvalues of the sixth factor described that it was the center of mineralization. Finally، the results were integrated and identified the best regions for the future studies.