A case study on metal contamination in water and sediment near a coal thermal power plant on the eastern coast of Bangladesh
This study has evaluated the potential ecological risk and human health risk for the contamination of nine elements (Cu, Cr, Mn, Zn, As, Pb, Co, Fe, and Sr) in water and sediment samples in two seasons, i.e., before and after rainy season, by calculating several pollution indices such as pollution l...
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Format: | Article |
Language: | English |
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MDPI
2021
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Online Access: | View Fulltext in Publisher |
LEADER | 02284nam a2200277Ia 4500 | ||
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001 | 10.3390-environments8100108 | ||
008 | 220427s2021 CNT 000 0 und d | ||
020 | |a 20763298 (ISSN) | ||
245 | 1 | 0 | |a A case study on metal contamination in water and sediment near a coal thermal power plant on the eastern coast of Bangladesh |
260 | 0 | |b MDPI |c 2021 | |
856 | |z View Fulltext in Publisher |u https://doi.org/10.3390/environments8100108 | ||
520 | 3 | |a This study has evaluated the potential ecological risk and human health risk for the contamination of nine elements (Cu, Cr, Mn, Zn, As, Pb, Co, Fe, and Sr) in water and sediment samples in two seasons, i.e., before and after rainy season, by calculating several pollution indices such as pollution load index (PLI), potential ecological risk (PER), and target hazard quotient (THQ). Samples were analyzed for elemental concentration using energy dispersive X-ray fluorescence (EDXRF) spectrometry. This study found that waters in the Kutubdia channel are safe and standard for aquatic organisms. In addition, the study area’s elemental concentration in water and sediments is still safe but moderately enriched with Zn and Cu. The elemental concentration in water was observed to be high in the pre-monsoon season and vice versa in the sediment study. The result also reveals no potential ecological risk (PER < 4) in the study site. However, the health risk index showed a noncarcinogenic risk (THQ > 1) for children and adults regarding the inhalation process where manganese was dominant. Apart from this, the pollution source was also identified by multivariate statistical analysis, including cluster analysis (CA) and principal component analysis (PCA)—and a natural pollution source prevalent was found. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. | |
650 | 0 | 4 | |a Contamination factor |
650 | 0 | 4 | |a Ecosystem health |
650 | 0 | 4 | |a Hazard Index |
650 | 0 | 4 | |a Subtropical |
650 | 0 | 4 | |a Water parameters |
700 | 1 | |a Ahmed, M.K. |e author | |
700 | 1 | |a Akter, S. |e author | |
700 | 1 | |a Hossain, M.S. |e author | |
700 | 1 | |a Hossain, M.S. |e author | |
700 | 1 | |a Jolly, Y.N. |e author | |
700 | 1 | |a Kabir, M.J. |e author | |
700 | 1 | |a Liyana, E. |e author | |
700 | 1 | |a Rahman, M.S. |e author | |
773 | |t Environments - MDPI |