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Geochemical Anomaly and Mineral Prospectivity Mapping for Vein-Type Copper Mineralization, Kuhsiah-e-Urmak Area, Iran: Application of Sequential Gaussian Simulation and Multivariate Regression Analysis

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Abstract

In this paper, sequential Gaussian simulation (SGS) and number–size (N–S) fractal modeling were used for copper geochemical anomaly mapping in the western part (training area) of Kuhsiah-e-Urmak area, Iran. Then, according to the generated anomaly model in the training area, mineral potential mapping (MPM) was performed for the entire study area based on a well-fitted regression model as a data-driven method. In order to select the best model, six multivariate regression models including two linear, two quadratic, and two cubic functions were examined. For developing a mineral potential map of the study area, the geochemical anomaly raster map of the training area was utilized to create six models based on the values of geo-data sets. According to the results of \(R^{2}\),\(R_{\text{adj}}^{2}\), and \({\text{EF}}\), the fourth model, generated using a quadratic function, was found to be the superior model compared with the rest of regression models defined in this paper. Based on the mathematical formula derived for the superior model, the geo-exploration data sets were synthesized to generate a potential map showing favorable areas for prospecting copper. The potential map generated was verified by the results of lithogeochemical sampling conducted in the training area and field observations in the entire study area.

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Acknowledgments

The authors would like to thank Dr. Soheil Eyvazkhani for his helpful suggestions, the editor in chief (Prof. Emmanuel John M. Carranza), the associate editor for NRR (Prof. Renguang Zuo), and anonymous reviewers of this paper for their comments and valuable remarks.

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  1. Department of Geology, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Amirabbas Karbalaei Ramezanali & Alireza Jafarirad

  2. Mining Engineering Department, South Tehran Branch, Islamic Azad University, Tehran, Iran

    Faranak Feizi

  3. Department of Geology, North Tehran Branch, Islamic Azad University, Tehran, Iran

    Mohammad Lotfi

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  1. Amirabbas Karbalaei Ramezanali
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Karbalaei Ramezanali, A., Feizi, F., Jafarirad, A. et al. Geochemical Anomaly and Mineral Prospectivity Mapping for Vein-Type Copper Mineralization, Kuhsiah-e-Urmak Area, Iran: Application of Sequential Gaussian Simulation and Multivariate Regression Analysis. Nat Resour Res 29, 41–70 (2020). https://doi.org/10.1007/s11053-019-09565-7

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