Journal
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
Volume 168, Issue -, Pages 138-145Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ecoenv.2018.10.024
Keywords
Lithology; Soil pollution; Basic; Acidic; Sedimentary; K-means clustering
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This research was conducted to evaluate the utilization of magnetic susceptibility measurements in the assessment of metal concentrations in soils developed on a range of parent materials in northwestern Iran. Eighty surface soil samples were collected from eight parent rocks including ultrabasic rocks, basalt, andesite, granite, marl, limestone, Qom formation, and shale. The collected samples were assessed to determine magnetic susceptibility at low frequency (chi lf) and concentrations of some metals comprising chromium (Cr), iron (Fe), copper (Cu), nickel (Ni), zinc (Zn), cobalt (Co), and manganese (Mn). The results showed that the highest levels of metals and chi lf were observed in basic and ultrabasic soils. Strong positive correlations (P < 0.01) detected between chi lf and Fe (0.87), Mn (0.78), Zn (0.74), Ni (0.90), Co (0.78), and Cr (0.90) in all samples indicated a potential for using magnetic susceptibility in semi-quantitative estimation of metal concentrations in soils of natural ecosystems. Multiple linear regression between metal contents and chi(lf) showed that Ni, Zn, Mn, and Co could explain 77% of the total variance in chi(lf )in the study area. K-means cluster analysis categorized the studied soils into three groups based on metals and chi(lf) variability. Clustering of soils based on their parent rocks and use of further magnetic measures, i.e., saturation isothermal remanent magnetization (SIRM), isothermal remanent magnetization (IRM100mT) and natural remanent magnetization (NRM) are expected to improve the accuracy of metal concentration predictions in natural soils of the study area.
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