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Assessment of heavy metals in sediments of Shitalakhya River, Bangladesh
Analytical Science and Technology / Analytical Science and Technology, (P)1225-0163; (E)2288-8985
2019, v.32 no.5, pp.210-216
https://doi.org/10.5806/AST.2019.32.5.210
(Dept. of Anal. Chem. & Environ. Sci., Training Inst. for Chem. Industries)
(Department of Chemistry, Jahangirnagar University)
(Institute of Leather Engineering and Technology, University of Dhaka)
(Department of Chemistry, Comilla University)
(Sch. of Energy Materials & Chemical Eng., Korea Univ. of Tech. & Edu)
(Department of Chemistry, Jahangirnagar University)
(Institute of Leather Engineering and Technology, University of Dhaka)
(Department of Chemistry, Comilla University)
(Sch. of Energy Materials & Chemical Eng., Korea Univ. of Tech. & Edu)
A.,
N.
M.
A.
, Md.,
N.
A.
, Md.,
A.
M.
, Md.,
S.
R.
, &
Namjun,
C.
(2019). Assessment of heavy metals in sediments of Shitalakhya River, Bangladesh. Analytical Science and Technology, 32(5), 210-216, https://doi.org/10.5806/AST.2019.32.5.210
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Abstract
Concentrations of Cu, Zn, Fe, Mn, Ni and Cr have been estimated in sediments of the Shitalakhya River at Polash-Ghorashal area, Narsingdi, Bangladesh. 36 samples of sediments from nine sampling point at different locations of Shitalakhya River were collected to determine the concentration of Cu, Zn, Fe, Mn, Ni, Cr and the samples were analyzed by atomic absorption spectrophotometer (AAS). The obtained results were compared with national and international guidelines. The levels of heavy metal concentrations in sediments were found to decrease in the order of Fe > Mn > Zn > Ni > Cu > Cr, respectively. The heavy metal concentration in sediment of Shitalakhya was below the recommended safe limits of heavy metals by WHO, FAO and other international standards. Contamination factor (CF) of Zn and Cu at sampling point Fsd2 show higher (> 1) values due to the influence of external discrete sources like wastage catalysts of ZnO and CuO. Geo-accumulation index values of the study indicate as non-contaminated to moderately contaminate.
- keywords
- sediment, heavy metals, CRM, trace elements, point source
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