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Weighted Photolineaments Factor (WPF): An Enhanced Method to Generate a Predictive Structural Evidential Map with Low Uncertainty, a Case Study in Chahargonbad Area, Iran

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Abstract

Decreasing the uncertainty and increasing the prediction rate of evidential maps are two important objectives in mineral prospectivity mapping (MPM). In this paper, we proposed weighted photolineaments factor (WPF) to generate a continuous weighted structural evidential map with high prediction rate and low uncertainty in Chahrgonbad area. The WPF which has four components was defined as weighted sum of the values related to four following characteristics of lineaments: (a) number, (b) length, (c) number of intersection and (d) number of directional sets. We used the extracted lineaments from geological map and processing of aeromagnetic data in our analysis to enhance the prediction rate of WPF map. The process was implemented using an effective multistage algorithm including: texture analysis, phase symmetry analysis, non-maximal suppression, thresholding, skeletonization and line fitting process. Afterward, values related to various characteristics of lineaments were extracted and transformed by a logistic function to improve their predictive ability. Then, using the concentration-area fractal model and prediction-area plot, the prediction rate of WPF components was derived and their importance weights were calculated using normalized density. Finally, the WPF map was generated and evaluated using location of 18 known mineral occurrences in the study area. The results demonstrated a good concordance with our previous geological knowledge and experience about Cu mineralization in Chahrgonbad area. The number of lineaments directional sets and the number of lineaments were recognized as structural criteria with the highest prediction rate for Cu prospectivity. The generated WPF map has a higher prediction rate (80%) in comparison with each individual component and delineated 20% of the study area as prospective target. Eventually, three zones with high structural permeability which are fertile environment for emplacement of intrusions, circulation of magmatic-hydrothermal fluids and Cu mineralization were delineated on the WPF map and proposed for further exploration.

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Acknowledgment

The authors gratefully acknowledge the support provided by the School of Mining Engineering, University of Tehran. We also express our sincere thanks to the National Iranian Copper Industries Company (NICICo) for providing required data. We express our deep gratitude to the all geologists and exploration experts that cooperated to enhance the results of this analysis. Finally, we thank Prof. Carranza and two reviewers for reading the paper precisely and patiently and for their constructive and valuable comments, which indeed helped us to improve the quality of our work.

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  1. School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran

    Gholam-Reza Elyasi, Abbas Bahroudi, Maysam Abedi & Hossain Rahimi

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  1. Gholam-Reza Elyasi
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  2. Abbas Bahroudi
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  3. Maysam Abedi
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  4. Hossain Rahimi
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Correspondence to Maysam Abedi.

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Elyasi, GR., Bahroudi, A., Abedi, M. et al. Weighted Photolineaments Factor (WPF): An Enhanced Method to Generate a Predictive Structural Evidential Map with Low Uncertainty, a Case Study in Chahargonbad Area, Iran. Nat Resour Res 29, 2881–2913 (2020). https://doi.org/10.1007/s11053-020-09658-8

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  • DOI: https://doi.org/10.1007/s11053-020-09658-8

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