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Vol. 58, n.1, March 2017
pp. 55-73

Integration of aeromagnetic geophysical data with other exploration data layers based on fuzzy AHP and C-A fractal model for Cu-porphyry potential mapping: a case study in the Fordo area, central Iran

A.A. Karbalaei Ramezanali, E. Mansouri and F. Feizi

Received: January 21, 2017; accepted: April 22, 2017

Abstract
Today, using only one geophysical layer creates a large percentage of errors in the mineral exploration field. For this reason, the integration of different exploration layers with the geophysical layer for mineral exploration is suggested. The fuzzy analytical hierarchy processes (AHP) method is a manner of mineral prospectivity mapping (MPM) that is generally used for mineral exploration. This method has been applied for multi-criteria decision-making problems. In this paper, fuzzy AHP and geospatial information system (GIS) were used to generate a prospectivity model for Cu- porphyry mineralization on the basis of a conceptual model and geo-evidence layers derived via geological, geochemical, and geophysical data in the Fordo area, central Iran. Fuzzy AHP was utilized to determine the weights belonging to each criterion. Three geoscientists' knowledge of exploration of Cu-porphyry mineralization has been applied to assign weights to evidence layers in fuzzy the AHP MPM method. After assigning normalized weights to all evidential layers, a fuzzy operator was applied to integrate weighted evidence layers. The results demonstrate the acceptable outcomes for Cu-porphyry exploration. For further evaluation of the prospectivity model, C-A fractal model was used for the MPM. Finally, the C-A prospectivity map was confirmed by checking three target areas in the field.

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