Assessment of heavy metal contamination in the surficial sediments from the lower Meghna River estuary,Noakhali coast,Bangladesh |
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| Authors: | Mohammad Abdul Momin Siddique Mahfuzur Rahman Shahriar Md Arifur Rahman Md Rubel Hassan Zeenath Fardous Muhammed Alamgir Zaman Chowdhury Mohammad Belal Hossain |
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| Institution: | Department of Oceanography,Noakhali Science and Technology University,Noakhali,3814,Bangladesh;University of South Bohemia in Ceske Budejovice,Faculty of Fisheries and Protection of Waters,South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses,Research Institute of Fish Culture and Hydrobiology,Zatisi 728/Ⅱ,Vodnany,389 25,Czech Republic;Department of Oceanography,Noakhali Science and Technology University,Noakhali,3814,Bangladesh;Department of Environmental Science and Disaster Management,Noakhali Science and Technology University,Nokhali,3814,Bangladesh;Agrochemical and Environmental Research Division,Institute of Food and Radiation Biology,Atomic Energy Research Establishment,Savar,Dhaka,1349,Bangladesh;Department of Fisheries and Marine Science,Noakhali Science and Technology University,Nokhali,3814,Bangladesh |
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| Abstract: | Sediment samples were collected from ten selected sites of the lower Meghna River estuary, and six heavy metals were analyzed with Atomic Absorption Spectrophotometry (AAS) to assess the contamination level and the metals’ association with sediment grain size. The current results revealed that the mean concentrations of the studied metals were ranked in descending order of iron (Fe) (1.29 × 103 mg/kg) > zinc (Zn) (42.41 mg/kg) > lead (Pb) (12.48 mg/kg) > chromium (Cr) (10.59 mg/kg) > copper (Cu) (6.22 mg/kg) > cadmium (Cd) (0.28 mg/kg). The geo-accumulation, contamination, and pollution load indexes suggested that the lower Meghna river estuary was not contaminated by Fe, Zn, Pb, Cr, and Cu. The mean size of the sediment ranged from 28.92 to 126.2 μm, and the Pearson correlation coefficient showed a significant association between Fe and Pb (coefficient of determination, r2 = 0.836; p < 0.05), and no significant correlation was found between individual metals and grain size, indicating no or low influence on the metals distribution. |
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| Keywords: | Metal pollution Pollution load index Grain size Trace metals |
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