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Multivariate analysis and geochemical approach for assessment of metal pollution state in sediment cores

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Abstract

Vertical distribution of metals (Cu, Zn, Cr, Fe, Mn, Pb, Ni, Cd, and Li) in four sediment core samples (C1, C2, C3, and C4) from Anzali international wetland located southwest of the Caspian Sea was examined. Background concentration of each metal was calculated according to different statistical approaches. The results of multivariate statistical analysis showed that Fe and Mn might have significant role in the fate of Ni and Zn in sediment core samples. Different sediment quality indexes were utilized to assess metal pollution in sediment cores. Moreover, a new sediment quality index named aggregative toxicity index (ATI) based on sediment quality guidelines (SQGs) was developed to assess the degree of metal toxicity in an aggregative manner. The increasing pattern of metal pollution and their toxicity degree in upper layers of core samples indicated increasing effects of anthropogenic sources in the study area.

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Authors and Affiliations

  1. Department of Mining, Faculty of Engineering, Tarbiat Modares University, Tehran, 14115-143, Iran

    Ahmad Jamshidi-Zanjani

  2. Environmental Research Laboratory, Department of Water and Environmental Engineering, School of Civil Engineering, Iran University of Science and Technology, P.O. Box 16765-163, Narmak, Tehran, Iran

    Mohsen Saeedi

Authors
  1. Ahmad Jamshidi-Zanjani
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  2. Mohsen Saeedi
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Correspondence to Mohsen Saeedi.

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Responsible editor: Philippe Garrigues

Highlights

• A new aggregative toxicity index is developed.

• Human activities and anthropogenic sources affected metal pollution state in Anzali wetland.

• Different background values for individual metal were obtained in different parts of the study area.

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Jamshidi-Zanjani, A., Saeedi, M. Multivariate analysis and geochemical approach for assessment of metal pollution state in sediment cores. Environ Sci Pollut Res 24, 16289–16304 (2017). https://doi.org/10.1007/s11356-017-9248-2

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  • DOI: https://doi.org/10.1007/s11356-017-9248-2

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