Integration of fractal modeling and correspondence analysis reconnaissance for geochemically high-potential promising areas, NE Iran

Most geochemical and geostatistical analysis in mining exploration requires removing regional trends order to obtain local anomalies. In this paper, stream sediment samples, which collected from Khusf area (NE Iran), was studied based on Concentration-Area (C-A) fractal model as well correspondence methods find high-potential areas elements. Correspondence with 170 samples through 20 elements concentration values each sample performed. According analysis, among one or several the study area, anomalies were separated highest relates variables Pb, As, Cd After best variogram for studied. Elemental maps then produced estimating using kriging method. Therefore, method, between three statistical sets of elements, it concluded that third set showed anomaly respectively determined 55, 7.2, 0.88 ppm. Although element is not genetically related same source Pb utilizing integrated approach, has also been detected a promising zone. Finally, suggested region possibility Basic Metals occurrence suggests further geophysical operations identification scale.