Lithium, a strategic element, has gained increasing economic importance due to its growing applications in lithium-ion batteries, electronics industries, an‎d clean technologies. Stream sediments serve as a natural archive of the chemical composition of upstream areas, providing valuable information about elemental distribution an‎d the regionʹs mineral potential. These sediments represent a composite sample of rocks from upstream drainage basins an‎d can be a suitable indicator for identifying concealed mineralization. The study area is located within the 1:1,000,000 Hamedan sheet an‎d exhibits significant lithological diversity alongside folded structures an‎d multiple faults resulting from intense tectonic activity. This region forms part of the Sanan‎daj-Sirjan Zone, characterized by granitoid intrusive masses, metamorphic rocks, an‎d pegmatite outcrops that represent favorable hosts for lithium mineralization. In this research, data obtained through stream network sampling an‎d laboratory analyses were processed using drainage basin modeling. Application of the Weighted Average Method (WAS) enabled calculation of elemental background concentrations an‎d removal of the parent rock effect, enhancing the precise identification of geochemical anomalies. Advanced statistical analyses, including Stage Factor Analysis (SFA) an‎d Geochemical Mapping Prospectivity Index (GMPI), revealed a significant correlation among lithium, rubidium, an‎d cesium—consistent with granite-pegmatite-type mineralization patterns. Concurrently, analogous behavior of tin, aluminum, an‎d beryllium unveiled an additional lithium mineralization pattern. To further refine anomaly-background separation, dilution correction an‎d concentration-area fractal methods were employed. Comparative results demonstrated that the concentration-area fractal method outperformed dilution correction in delineating lithium-related anomalies an‎d exhibited higher efficacy in identifying prospective mineralized zones. These findings reinforced the validity of patterns detected by prior statistical analyses. Final results pinpointed promising mineral targets predominantly in the western an‎d southwestern sectors of the study area, showing complete consistency with existing geological an‎d mineral evidence. The integration of geochemical methods with advanced statistical data processing in this study effectively enabled the separation of lithium anomalies from background values.

حسن طباطبائي

مريم خسروي , حمايت جمالي