Enhancement and Mapping of Weak Multivariate Stream Sediment Geochemical Anomalies in Ahar Area,NW Iran |
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| Authors: | Mohammad Parsa Abbas Maghsoudi Emmanuel John M. Carranza Mahyar Yousefi |
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| Affiliation: | 1.Faculty of Mining and Metallurgical Engineering,Amirkabir University of Technology,Tehran,Iran;2.Economic Geology Research Centre (EGRU),James Cook University,Townsville,Australia;3.Institute of Geosciences,State University of Campinas (UNICAMP),Campinas,Brazil;4.Faculty of Engineering,Malayer University,Malayer,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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