LAUSR

Abstract In the exploration of polymetallic mineralization, the anomalies should be identified and differentiated from background values, simultaneously for polymetallic elements. Therefore, multivariate analysis and LINEST function modeling have been applied to vein identification in Glojeh polymetallic deposit in NW of Iran. It would be accompanied by the determination of multiple-effect ratio of element concentration which will intensify the vein and veinlet detectability and provide a quantitative measure of mineralization. In this study, 31 insignificant elements and threshold value were eliminated during 18 steps of backward stepwise algorithm. Accordingly, an optimized model was established to predict Au concentration by the contribution of pathfinder elements which presented as t P b > t A g > t P > t H g > t M n > t N b > t U > t S r > t S n > t A s > t C u . The (Pb × Sn)/(La × Te), (Ag × Sn)/(Rb × Te), and (Pb × Hg)/(Ce × Ba) multiple-effect ratios were determined for (intensify) tracking Au mineralization and polymetallic vein, veinlet and brecciated mineralization zone at Glojeh deposit. They were determined by dividing the concentrated elements (with highest t-values) at an insignificant ones that eliminated in the early steps of staged LINEST modeling.