Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/327845
Type: Artigo
Title: An Ahp-topsis Predictive Model For District-scale Mapping Of Porphyry Cu-au Potential: A Case Study From Salafchegan Area (central Iran)
Author: Asadi
Hooshang H.; Sansoleimani
Atefeh; Fatehi
Moslem; Carranza
Emmanuel John M.
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.
Subject: Porphyry Cu-au
Ahp-topsis
Data Integration
Central Of Iran
Editor: Springer
Dordrecht
Citation: Natural Resources Research. Springer, v. 25, p. 417 - 429, 2016.
Rights: fechado
Identifier DOI: 10.1007/s11053-016-9290-7
Address: https://link.springer.com/article/10.1007/s11053-016-9290-7
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

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