Assessment of heavy metals in the surface sediments of the Emerald Lake using of spatial distribution and multivariate techniques

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作者
P. Karthikeyan
G. Vennila
R. Venkatachalapathy
T. Subramani
R. Prakash
M. K. Aswini
机构
[1] K. S. Rangasamy College of Technology,Department of Civil Engineering
[2] Periyar University,Department of Geology
[3] Anna University,Department of Mining Engineering, College of Engineering Guindy
[4] Pondicherry University,Department of Earth Sciences
[5] Manonmaniam Sundaranar University,Centre for Geotechnology
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关键词
Geochemistry; Heavy metals; Principal component analysis; Emerald Lake;
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摘要
The study aims to assess the heavy metals such as cobalt (Co), nickel (Ni), lead (Pb), chromium (Cr), cupper (Cu), zinc (Zn), manganese (Mn), and iron (Fe) from 25 surface sediment samples at different sites of the Emerald Lake, Tamilnadu, India using spatial distribution and multivariate techniques like Pearson correlation matrix and principal component analysis. From the result, the ranges of Fe, Cu, Cr, Mn, Zn, Ni, Co, and Pb are noticed to be 78,128 to 132,876; 314 to 462; 336 to 523; 520 to 701; 20.1 to 53.21; 128 to 215; 91 to 129.9; and 151 to 158 μg g−1, respectively. The order of the average heavy metals concentration is Fe > Mn > Cr > Cu > Pb > Zn > Co > Ni. From the result, Ni, Cu, Cr, Pb, and Cd are found to be considerably correlated as they are usually related to anthropogenic activities, wastewater, and sewage. From the principal corresponding analysis (PCA) results retrieved from PC3 suggest that Fe, Mn, Cr, Cu, Pb, and Ni have common origin and are mainly due to anthropogenic input, inorganic fertilizers in agriculture, human activities, sewage effluents, traffic, and boat activities. The study relatively provides a significant approach for heavy metal pollution origin in the surface sediment in the Emerald Lake.
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