Shahrood University of Technology Journal of Mining and Environment 2251-8592 11 2 2020 04 01 Detection of Zones Based on Ore and Gangue Using Fractal and Multivariate Analysis in Chah Gaz Iron Ore Deposit, Central Iran 453 466 1691 10.22044/jme.2020.9111.1801 EN M. Mirzaie Department of Petroleum and Mining Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran P. Afzal Department of Petroleum and Mining Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran A. Adib Department of Petroleum and Mining Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran E. Rahimi Department of Petroleum and Mining Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran Gh. Mohammadi Department of Petroleum and Mining Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran Journal Article 2019 11 14 Detection of mineralized zones based on ores and gangues is important for mine planning and excavation operation. The major goal of this research work was to determine the zones based on ores and gangues by a combination of fractal and factor analysis in the Chah Gaz iron ore (Central Iran). The Concentration-Volume (C-V) fractal method was carried out for Fe, P and S, which indicated that the main mineralized zones consisted of the Fe, S, and P values ≥ 57%, ≤ 0.4%, and ≤0.3%, respectively. Factor analysis categorized variables in two groups including factor 1 (F1) and factor 2 (F2) for ore and gangue, respectively. The C-V fractal modeling on the derived factors showed four zones for F1 and F2. Based on the correlation among the results of fractal modeling on the elements and factors, the first and second zones of F1 were proper for exploitation. Furthermore, the last and first zones of F1 and F2 could be assumed as the main waste for mining excavation. https://jme.shahroodut.ac.ir/article_1691_a6423ee3e704a37993c513687683a7b4.pdf