A weighted fuzzy aggregation GIS model in the integration of geophysical data with geochemical and geological data for Pb–Zn exploration in Takab area, NW Iran

  • M. Farzamian
  • A. Kamkar Rouhani
  • A. Yarmohammadi
  • H. Shahi
  • H. A. Faraji Sabokbar
  • M. Ziaiie
Original Paper


Detailed geophysical and geochemical surveys were carried out to determine Pb–Zn mineralization zones in Chichakloo area, east of Takab, Iran. Resistivity and induced polarization (IP) surveys were conducted along 10 parallel profiles on the dolomite unit, and also 292 samples were collected for lithogeochemical studies to assess the extents of Pb–Zn ore deposits in the study area. All exploration data were processed and modeled, and then the results were taken to a geographic information system (GIS) environment to generate a mineral potential map of the area to suggest more accurate or less risky exploration drilling targets. A fuzzy logic approach was used in this study to integrate exploration predictor maps. A new approach was used for fuzzification of the geochemical maps based on the geochemical mineralization probability index (GMPI) calculation, and an approach was proposed to infer a geophysical predictor map from three-dimensional (3D) IP and resistivity maps. Furthermore, the weighted Yager t-norm fuzzy operator was applied for the integration of exploration predictor maps to consider the importance of each map in the mineral potential map generation. The mineral potential map indicates a remarkable overlapping of geophysical and geochemical anomalies in the south of the study area with a north–south trend. The results of drilling boreholes in the area confirm the obtained mineral exploration results.


Pb–Zn mineralization Resistivity IP Geochemical surveys GIS Fuzzy logic 



Financial assistance provided by Shahrood University of Technology, Iran, is greatly appreciated. The authors also need to thank Karim Karam-Soltani and Amir Emam-Jomeh for their suggestions and supply of information to this research work. The advice and assistance of Mahyar Yousefi and Ramin Hendi are gratefully acknowledged. We thank the reviewers for their constructive comments that helped us improve this paper.


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Copyright information

© Saudi Society for Geosciences 2016

Authors and Affiliations

  • M. Farzamian
    • 1
  • A. Kamkar Rouhani
    • 2
  • A. Yarmohammadi
    • 3
  • H. Shahi
    • 4
  • H. A. Faraji Sabokbar
    • 5
  • M. Ziaiie
    • 2
  1. 1.Centro de GeofísicaUniversidade de LisboaLisbonPortugal
  2. 2.Faculty of Mining and GeophysicsShahrood University of TechnologyShahroodIran
  3. 3.Tarbiat Modares UniversityTehranIran
  4. 4.Department of Mining EngineeringUniversity of GonabadGonabadIran
  5. 5.Faculty of GeographyTehran UniversityTehranIran

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