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An AHP–TOPSIS Predictive Model for District-Scale Mapping of Porphyry Cu–Au Potential: A Case Study from Salafchegan Area (Central Iran)

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Abstract

The Salafchegan area in central Iran is a greenfield region of high porphyry Cu–Au potential, for which a sound prospectivity model is required to guide mineral exploration. Satellite imagery, geological geochemical, geophysical, and mineral occurrence datasets of the area were used to run an innovative integration model for porphyry Cu–Au exploration. Five favorable multi-class evidence maps, representing diagnostic porphyry Cu–Au recognition criteria (intermediate igneous intrusive and sub-volcanic host rocks, structural controls, hydrothermal alterations, stream sediment Cu anomalies, magnetic signatures), were combined using analytic hierarchy process and technique for order preference by similarity to ideal solution to calculate a final map of porphyry Cu–Au potential in the Salafchegan area.

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Authors and Affiliations

  1. Department of Mining Engineering, Isfahan University of Technology, 8415683111, Isfahan, Iran

    Hooshang H. Asadi & Moslem Fatehi

  2. Centre for Exploration Targeting, Australian Research Council Centre of Excellence for Core to Crust Fluid Systems, School of Earth and Environment, The University of Western Australia, Crawley, WA, 6009, Australia

    Hooshang H. Asadi

  3. School of Earth Sciences, The University of Queensland, Brisbane, QLD, 4072, Australia

    Atefeh Sansoleimani

  4. Economic Geology Research Centre, College of Science, Technology and Engineering, James Cook University, Townsville, QLD, Australia

    Emmanuel John M. Carranza

  5. Institute of Geosciences, State University of Campinas, Campinas, São Paulo, Brazil

    Emmanuel John M. Carranza

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  1. Hooshang H. Asadi
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  2. Atefeh Sansoleimani
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  4. Emmanuel John M. Carranza
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Asadi, H.H., Sansoleimani, A., Fatehi, M. et al. An AHP–TOPSIS Predictive Model for District-Scale Mapping of Porphyry Cu–Au Potential: A Case Study from Salafchegan Area (Central Iran). Nat Resour Res 25, 417–429 (2016). https://doi.org/10.1007/s11053-016-9290-7

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