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

Hooshang Asadi Haroni, Atefeh Sansoleimani, Moslem Fatehi, Emmanuel John M Carranza

    Research output: Contribution to journalArticle

    28 Citations (Scopus)

    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.

    Original languageEnglish
    Pages (from-to)417-429
    Number of pages13
    JournalNatural Resources Research
    Volume25
    Issue number4
    DOIs
    Publication statusPublished - 1 Dec 2016

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