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Enhancement and Mapping of Weak Multivariate Stream Sediment Geochemical Anomalies in Ahar Area, NW Iran

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Abstract

In this study, stream sediment geochemical data have been subjected to robust principal components analysis (RPCA) and singularity mapping (SM) to enhance and map significant multivariate geochemical anomalies (i.e., mineralization-related) in Ahar area, NW Iran. The RPCA was applied to (a) account for the compositional nature of stream sediment geochemical data using suitable log-ratio transformation, (b) modulate the effect of outliers in component estimation and (c) derive a multivariate geochemical footprint of mineralization. The SM was applied to extract anomalous patterns of the multivariate geochemical footprint of mineralization. The exploration targets were then delineated using Student’s t-statistics analysis. The correlations of mapped exploration targets with the known mineral occurrences and mineralization-related patterns were further evaluated using normalized density index and overall accuracy analyses.

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Acknowledgments

We are appreciative of the constructive comments of Prof. Renguang Zuo, the associate editor, and Prof. Antonella Buccianti and an anonymous reviewer, which significantly helped us improve the presentation of material in this paper.

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Authors and Affiliations

  1. Faculty of Mining and Metallurgical Engineering, Amirkabir University of Technology, Tehran, Iran

    Mohammad Parsa & Abbas Maghsoudi

  2. Economic Geology Research Centre (EGRU), James Cook University, Townsville, QLD, Australia

    Emmanuel John M. Carranza

  3. Institute of Geosciences, State University of Campinas (UNICAMP), Campinas, São Paulo, Brazil

    Emmanuel John M. Carranza

  4. Faculty of Engineering, Malayer University, Malayer, Iran

    Mahyar Yousefi

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  1. Mohammad Parsa
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Correspondence to Abbas Maghsoudi.

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Parsa, M., Maghsoudi, A., Carranza, E.J.M. et al. Enhancement and Mapping of Weak Multivariate Stream Sediment Geochemical Anomalies in Ahar Area, NW Iran. Nat Resour Res 26, 443–455 (2017). https://doi.org/10.1007/s11053-017-9346-3

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