Affiliation:
1. Department of Petroleum, Materials and Mining Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran
2. Geoscience Faculty, Research Institute of Petroleum Industry (RIPI), Tehran, Iran
3. Department of Petroleum and Mining Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
Abstract
Abstract
Most geochemical and geostatistical analysis in mining exploration requires removing regional trends in 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 as correspondence analysis methods to find high-potential areas elements. Correspondence analysis with 170 samples through 20 elements concentration values in each sample was performed. According to correspondence analysis, among one or several elements in the study area, local anomalies were separated which the highest concentration relates to the variables Pb, As, and Cd elements. After the correspondence analysis, the best variogram for the Khusf area was studied. Elemental concentration maps was then produced through estimating the values using kriging method. Therefore, using the fractal method, between three statistical sets of elements, it was concluded that the third set showed the anomaly for Pb, As, and Cd elements with local anomaly values respectively determined as 55, 7.2, and 0.88 ppm. Although Cd element is not genetically related to same source of Pb and As, utilizing integrated approach, Cd anomalies has also been detected in the area as a promising element zone. Finally, it is suggested that this region has the possibility of Basic Metals occurrence and suggests further geophysical operations on a local identification scale.
Publisher
Research Square Platform LLC
Reference58 articles.
1. Abdi, H., & Williams, L. (2010). Correspondence analysis. In (pp. 267–278).
2. Mathematical modeling of fate and transport of cyanide pollutant in the gold mine tailings: with emphasis on physico-chemical process;Abedi-Orang B;Environmental Earth Sciences,2020
3. Delineation of mineralization zones in porphyry Cu deposits by fractal concentration–volume modeling;Afzal P;Journal of Geochemical Exploration,2011
4. Geochemical Anomaly Detection in the Irankuh District Using Hybrid Machine Learning Technique and Fractal Modeling;Afzal P;Geopersia,2022
5. Afzal, P., Gholami, H., Madani, N., Yasrebi, A. B., & Sadeghi, B. (2023). Mineral Resource Classification Using Geostatistical and Fractal Simulation in the Masjed Daghi Cu–Mo Porphyry Deposit, NW Iran. Minerals,13(3), 370. https://www.mdpi.com/2075-163X/13/3/370