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Multielement analysis in sediments of the River Buriganga (Bangladesh): potential ecological risk assessment

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Abstract

Sediments collected from the River Buriganga were analyzed by using ICP-MS for spatial (site-to-site) and seasonal variations of a large number of elements, as many as 48. Out of these elements, 15 elements were given more attention because of their detrimental effects on human health and aquatic lives. These 15 elements are V, Cr, Mn, Ni, Cu, Zn, As, Se, Mo, Cd, Ba, Hg, Pb, Bi and U, and their mean concentrations were 7.51 ± 2.25, 39.70 ± 18.84, 37.58 ± 3.13, 6.39 ± 0.96, 14.07 ± 15.93, 36.73 ± 34.38, 0.18 ± 0.12, 1.07 ± 0.05, 0.40 ± 0.09, 0.21 ± 0.02, 20.80 ± 2.21, 0.016 ± 0.001, 10.41 ± 13.61, 0.33 ± 0.02 and 0.45 ± 0.09 mg/kg in monsoon, respectively; the mean concentrations in winter were 8.66 ± 2.77, 41.45 ± 15.88, 39.06 ± 2.72, 7.14 ± 1.11, 15.93 ± 18.38, 40.71 ± 37.33, 0.21 ± 0.13, 1.19 ± 0.05, 0.44 ± 0.11, 0.23 ± 0.03, 23.09 ± 2.63, 0.018 ± 0.001, 11.40 ± 15.09, 0.36 ± 0.02 and 0.50 ± 0.11 mg/kg, respectively. These results indicate that concentrations of the studied elements were almost the same in both the seasons. However, the concentrations were slightly higher in winter than those in monsoon with respect to spatial variation. The higher concentrations of Cr in both the seasons were due to direct discharge of tanning effluents for a long time. Values of contamination factor (Cf), degree of contamination (Cd), pollution load index and ecological risk potential (RI) factors for the selected toxic elements, i.e., Cr, Mn, Zn, Cu, Pb, Ni, Cd, As, Hg in the surface sediments, indicated that the contamination status in the studied area was low. The low contamination level may be due to steps taken by the authorities to prevent direct discharge of industrial effluents in the River Buriganga in the recent years.

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Acknowledgements

Authors would like to thank Professor M. S. Ullah of the Department of Geography and Environment, University of Dhaka, for his help in the preparation of a map of the sampling area using ArcGIS software. Authors also would like to thank Dr. A. N. M. Al-Razee, Training Institute of Chemical Industries (TICI), Ghorashal, Narsingdi (Bangladesh), for calculating correlation matrix using statistical software (SPSS version 18.0, USA).

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Authors and Affiliations

  1. Department of Chemistry, University of Dhaka, Dhaka, 1000, Bangladesh

    A. Nargis, S. Sultana, M. J. Raihan, M. E. Haque, A. B. M. R. Sadique, M. M. Un-Nabie & A. Habib

  2. Coastal and Ocean Management Institute, Xiamen University, Xiamen, 361102, People’s Republic of China

    A. Nargis, A. B. M. R. Sadique, W. Zhai & M. Cai

  3. Fujian Provincial Key laboratory for Coastal Ecology and Environmental Studies, Xiamen University, Xiamen, 361102, People’s Republic of China

    A. Nargis, A. B. M. R. Sadique, W. Zhai & M. Cai

  4. College of Ocean and Earth Science, Xiamen University, Xiamen, 361102, People’s Republic of China

    A. Nargis, A. B. M. R. Sadique, W. Zhai & M. Cai

  5. Forensic Science Laboratory, Rapid Action Battalion, Uttara, Dhaka, 1230, Bangladesh

    M. S. I. Sarkar & M. M. Un-Nabie

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  1. A. Nargis
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  2. S. Sultana
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  3. M. J. Raihan
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  4. M. E. Haque
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  7. M. M. Un-Nabie
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  8. W. Zhai
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Correspondence to A. Habib.

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Editorial responsibility: Agnieszka Galuszka.

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Nargis, A., Sultana, S., Raihan, M.J. et al. Multielement analysis in sediments of the River Buriganga (Bangladesh): potential ecological risk assessment. Int. J. Environ. Sci. Technol. 16, 1663–1676 (2019). https://doi.org/10.1007/s13762-018-1822-8

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  • DOI: https://doi.org/10.1007/s13762-018-1822-8

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