Distribution and risk assessment of microplastics in a source water reservoir, Central China
Abstract The current researches on microplastics in different water layers of reservoirs remains limited. This study aims to investigate the microplastics in different water layers within a source water reservoir. Results revealed that the abundance of microplastics ranged from 2.07 n/L to 14.28 n/L...
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| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-84894-z |
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| author | Minghui Shen Yang Li Liwen Qin Xudong Chen Tianyu Ao Xishu Liang Kaibo Jin Yanyan Dou Juexiu Li Xuejun Duan |
| author_facet | Minghui Shen Yang Li Liwen Qin Xudong Chen Tianyu Ao Xishu Liang Kaibo Jin Yanyan Dou Juexiu Li Xuejun Duan |
| author_sort | Minghui Shen |
| collection | DOAJ |
| description | Abstract The current researches on microplastics in different water layers of reservoirs remains limited. This study aims to investigate the microplastics in different water layers within a source water reservoir. Results revealed that the abundance of microplastics ranged from 2.07 n/L to 14.28 n/L (reservoir, water) and 3 to 7.02 n/L (river, water), while varied from 350 to 714 n/kg(dw) (reservoir, sediment) and 299 to 1360 n/kg(dw) (river, sediment). The average abundance in surface, middle, and bottom water were 6.83 n/L, 6.30 n/L, and 6.91 n/L respectively. Transparent fibrous smaller than < 0.5 mm were identified as the predominant fraction with Polypropylene and Polyethylene being the prevalent polymer types. Additionally, the pollution load index, hazard index, and pollution risk index were calculated for different layers and sediments. Results showed that surface water exhibited a moderate level of risk while the sediments posed a low level of risk. Both the middle and bottom water showed elevated levels of risk due to higher concentrations of polymers with significant toxicity indices. This study presents novel findings on the distribution of microplastics in different water layers, providing crucial data support for understanding the migration patterns of microplastics in source water reservoirs and facilitating pollution prevention efforts. |
| format | Article |
| id | doaj-art-73d816ef98624c0c84e679bd6ad07831 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-73d816ef98624c0c84e679bd6ad078312025-01-05T12:23:18ZengNature PortfolioScientific Reports2045-23222025-01-0115111510.1038/s41598-024-84894-zDistribution and risk assessment of microplastics in a source water reservoir, Central ChinaMinghui Shen0Yang Li1Liwen Qin2Xudong Chen3Tianyu Ao4Xishu Liang5Kaibo Jin6Yanyan Dou7Juexiu Li8Xuejun Duan9School of Smarts Energy and Environment, Zhongyuan University of TechnologySchool of Smarts Energy and Environment, Zhongyuan University of TechnologySchool of Smarts Energy and Environment, Zhongyuan University of TechnologySchool of Smarts Energy and Environment, Zhongyuan University of TechnologySchool of Smarts Energy and Environment, Zhongyuan University of TechnologySchool of Smarts Energy and Environment, Zhongyuan University of TechnologySchool of Smarts Energy and Environment, Zhongyuan University of TechnologySchool of Smarts Energy and Environment, Zhongyuan University of TechnologySchool of Smarts Energy and Environment, Zhongyuan University of TechnologySchool of Smarts Energy and Environment, Zhongyuan University of TechnologyAbstract The current researches on microplastics in different water layers of reservoirs remains limited. This study aims to investigate the microplastics in different water layers within a source water reservoir. Results revealed that the abundance of microplastics ranged from 2.07 n/L to 14.28 n/L (reservoir, water) and 3 to 7.02 n/L (river, water), while varied from 350 to 714 n/kg(dw) (reservoir, sediment) and 299 to 1360 n/kg(dw) (river, sediment). The average abundance in surface, middle, and bottom water were 6.83 n/L, 6.30 n/L, and 6.91 n/L respectively. Transparent fibrous smaller than < 0.5 mm were identified as the predominant fraction with Polypropylene and Polyethylene being the prevalent polymer types. Additionally, the pollution load index, hazard index, and pollution risk index were calculated for different layers and sediments. Results showed that surface water exhibited a moderate level of risk while the sediments posed a low level of risk. Both the middle and bottom water showed elevated levels of risk due to higher concentrations of polymers with significant toxicity indices. This study presents novel findings on the distribution of microplastics in different water layers, providing crucial data support for understanding the migration patterns of microplastics in source water reservoirs and facilitating pollution prevention efforts.https://doi.org/10.1038/s41598-024-84894-zMicroplasticsSource water reservoirRisk assessmentCorrelation analysis |
| spellingShingle | Minghui Shen Yang Li Liwen Qin Xudong Chen Tianyu Ao Xishu Liang Kaibo Jin Yanyan Dou Juexiu Li Xuejun Duan Distribution and risk assessment of microplastics in a source water reservoir, Central China Scientific Reports Microplastics Source water reservoir Risk assessment Correlation analysis |
| title | Distribution and risk assessment of microplastics in a source water reservoir, Central China |
| title_full | Distribution and risk assessment of microplastics in a source water reservoir, Central China |
| title_fullStr | Distribution and risk assessment of microplastics in a source water reservoir, Central China |
| title_full_unstemmed | Distribution and risk assessment of microplastics in a source water reservoir, Central China |
| title_short | Distribution and risk assessment of microplastics in a source water reservoir, Central China |
| title_sort | distribution and risk assessment of microplastics in a source water reservoir central china |
| topic | Microplastics Source water reservoir Risk assessment Correlation analysis |
| url | https://doi.org/10.1038/s41598-024-84894-z |
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