Researchers are leveraging advanced fractal models to illuminate the relationship between rare earth elements (REEs) and fault systems within the North Kochakali coal deposit, located in Central Iran. This innovative study employs the Concentration-Distance (C-D) fractal model to analyze the concentration of total REEs and its correlation with different fault types, enhancing our comprehension of mineralization processes.
Rare earth elements, which comprise 17 distinct metals, are pivotal for modern technologies, energy solutions, and defense applications. Their economic extraction from ores remains complex, and coal deposits are increasingly recognized as alternative sources. The identification of REE concentrations within coal could assist mineral recovery efforts and advance economic applications, contributing to green technology advancements.
This research leads with the recognition of the geochemical population distribution related to REEs within North Kochakali. It established three unique fractal models—ƩREEC–DDF for dextral faults, ƩREEC-DSF for sinistral faults, and ƩREEC-DTF for thrust faults—allowing scientists to visualize these elements' geospatial relationships effectively.
Notably, the results highlight a compelling association: areas close to dextral faults show the highest concentrations of REEs, particularly between 36-76 meters from these geological structures. This insight emphasizes how tectonic activities can significantly influence mineralization. The findings point to dextral faults with normal components as pivotal to REE enrichment, marking these regions as areas of economic potential for future mineral recovery endeavors.
notably, the study observed significant concentration variations among the fault types. For example, the study found very high REE concentrations located 2-360 meters from sinistral faults and up to 800 meters from thrust faults. This range suggests faulting dynamics play varying roles across geological structures, complically influencing mineral recovery strategies.
By enhancing the existing mineral resource knowledge, this research adds to the discourse on sustainable mining practices. It outlines how integrating geological analysis through fractal models can refine exploration techniques and bolster confidence among stakeholders when considering the economic viability of coal deposits as sources of rare earth elements.
Insights from this study align with the global shift toward utilizing unconventional resources for REE extraction. Considering the environmental ramifications of REE recovery, the authors encourage layered approaches where geological mapping and mineral assessments dovetail with ecological safeguards. This approach seeks to harmonize resource extraction methodologies with environmental stewardship objectives.
With Central Iran housing significant coal deposits, the identified concentration patterns of REEs showcase not only the area's geological uniqueness but also its potential role as a strategic REE source amid rising global demand. Moving forward, continued exploration focusing on fault-relationship dynamics could lead to optimizing extraction techniques, contributing to both economic and sustainable resource management strategies.
These findings support prior research emphasizing the salient role of geological structures and evidenced enhanced mineralization processes credited to faulting within coal seams. Harnessing mathematical modeling, the study establishes the foundation for prospective investigations targeting REE-rich deposits, hoping to spur effective mining and eco-friendly reclamation practices. The collaboration of geologists, mining engineers, and environmental scientists is deemed necessary for future studies to fully realize the potential of rare earth element extraction from coal deposits.