Soil Geochemical Characterization Associated with Fe–Cu Mineralization (Northeastern Aksaray, Türkiye) Using Geochemical Anomaly Classification and Multivariate Statistical Analyses

This study investigated the soil geochemistry associated with magnetite-bearing Fe–Cu mineralization in northeastern Aksaray (Türkiye). Reservoir normalization, threshold-based geochemical anomaly classification, and multivariate statistical analyses were combined to evaluate the effects of parent lithology, weathering, and mineralization. Reservoir normalization analysis showed pronounced Cu enrichment, together with high geochemical variability, suggesting an influence beyond lithological inheritance alone. The depletion of relatively mobile components and the variable behavior of S further suggested modification of primary geochemical signatures during weathering. Threshold-based anomaly classification showed that positive Cu and Zn anomalies are closely associated with the known Fe–Cu mineralization zones, whereas Fe2O3, Co, and V anomalies primarily reflect basaltic parent rocks and the positive Zr anomaly reflects felsic lithological influence. The multivariate statistical analyses, including correlation analysis (CA), hierarchical cluster analysis (HCA), and principal component analysis (PCA), revealed coherent geochemical associations corresponding to basaltic parent rocks, felsic lithologies, and mineralization-related element assemblages. PCA resolved three principal components reflecting a mafic–felsic lithological contrast (PC1), the survey-scale compositional variability in the As–Pb–Rb–Zr association (PC2), and a Cu–Zn–S mineralization-related signature (PC3). Overall, the results indicate that soil geochemical patterns reflect the overlapping influences of parent lithology, weathering, and Fe–Cu mineralization, emphasizing the importance of local geological background and lithological variability in geochemical anomaly interpretation.

Authors

Institutions

Publication Details

Journal
Minerals
Published
2026-09-10
DOI
https://doi.org/10.3390/min16090929
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Soil Geochemical Characterization Associated with Fe–Cu Mineralization (Northeastern Aksaray, Türkiye) Using Geochemical Anomaly Classification and Multivariate Statistical Analyses

Mustafa Haydar Terzi, Emre Turfan
Minerals
Geochemistry and Geologic Mapping
article

Soil Geochemical Characterization Associated with Fe–Cu Mineralization (Northeastern Aksaray, Türkiye) Using Geochemical Anomaly Classification and Multivariate Statistical Analyses

Mustafa Haydar Terzi, Emre Turfan
article en

Abstract

This study investigated the soil geochemistry associated with magnetite-bearing Fe–Cu mineralization in northeastern Aksaray (Türkiye). Reservoir normalization, threshold-based geochemical anomaly classification, and multivariate statistical analyses were combined to evaluate the effects of parent lithology, weathering, and mineralization. Reservoir normalization analysis showed pronounced Cu enrichment, together with high geochemical variability, suggesting an influence beyond lithological inheritance alone. The depletion of relatively mobile components and the variable behavior of S further suggested modification of primary geochemical signatures during weathering. Threshold-based anomaly classification showed that positive Cu and Zn anomalies are closely associated with the known Fe–Cu mineralization zones, whereas Fe2O3, Co, and V anomalies primarily reflect basaltic parent rocks and the positive Zr anomaly reflects felsic lithological influence. The multivariate statistical analyses, including correlation analysis (CA), hierarchical cluster analysis (HCA), and principal component analysis (PCA), revealed coherent geochemical associations corresponding to basaltic parent rocks, felsic lithologies, and mineralization-related element assemblages. PCA resolved three principal components reflecting a mafic–felsic lithological contrast (PC1), the survey-scale compositional variability in the As–Pb–Rb–Zr association (PC2), and a Cu–Zn–S mineralization-related signature (PC3). Overall, the results indicate that soil geochemical patterns reflect the overlapping influences of parent lithology, weathering, and Fe–Cu mineralization, emphasizing the importance of local geological background and lithological variability in geochemical anomaly interpretation.

MineralsVol. 16(9)
Aksaray University (TR)
Life in Land
Openalex Percentile: Top 8%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.