Enhancement and mapping of weak multivariate stream sediment geochemical anomalies in Ahar area, NW Iran

Parsa, Mohammad, Maghsoudi, Abbas, Carranza, Emmanuel John M., and Yousefi, Mahyar (2017) Enhancement and mapping of weak multivariate stream sediment geochemical anomalies in Ahar area, NW Iran. Natural Resources Research, 26 (4). pp. 443-455.

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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.

Item ID: 50567
Item Type: Article (Refereed Research - C1)
Keywords: robust principal components analysis, singularity mapping, stream sediment geochemical data, Iran
ISSN: 1573-8981
Date Deposited: 20 Sep 2017 10:04
FoR Codes: 04 EARTH SCIENCES > 0403 Geology > 040310 Sedimentology @ 100%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970104 Expanding Knowledge in the Earth Sciences @ 100%
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