Spatial distribution characteristics, ecological risk assessment, and source analysis of heavy metals in surface sediment of a reservoir in northwest China
In order to explore the distribution pattern of heavy metal risks in surface sediments of Mengjin Reservoir in Xinjiang, China, different risk level evaluation methods were used for analysis. The pollution index analysis shows that the heavy metals in the surface sediment of the reservoir are at an...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Ecological Indicators |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X25000391 |
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| author | Yufeng Xie Ming Kong Fei He Rongrong Ying Tao Long |
| author_facet | Yufeng Xie Ming Kong Fei He Rongrong Ying Tao Long |
| author_sort | Yufeng Xie |
| collection | DOAJ |
| description | In order to explore the distribution pattern of heavy metal risks in surface sediments of Mengjin Reservoir in Xinjiang, China, different risk level evaluation methods were used for analysis. The pollution index analysis shows that the heavy metals in the surface sediment of the reservoir are at an uncontaminated level, but arsenic (As) is within the pollution alert range; The potential ecological hazard index method shows that mercury (Hg) and cadmium (Cd) are the main ecological hazard contributing factors; Correlation analysis and principal component analysis suggest that As and Pb are mainly affected by human activities, while heavy metals chromium (Cr) and copper (Cu) mainly come from natural sources, while other heavy metals are simultaneously affected by both human activities and natural sources. The research results can provide decision support for preventing pollution in reservoirs and ensuring water quality safety. |
| format | Article |
| id | doaj-art-96dee8cd513345a8a3047c2e2e3e32a6 |
| institution | Kabale University |
| issn | 1470-160X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj-art-96dee8cd513345a8a3047c2e2e3e32a62025-01-31T05:10:53ZengElsevierEcological Indicators1470-160X2025-01-01170113110Spatial distribution characteristics, ecological risk assessment, and source analysis of heavy metals in surface sediment of a reservoir in northwest ChinaYufeng Xie0Ming Kong1Fei He2Rongrong Ying3Tao Long4Corresponding authors.; Key Laboratory of Soil Environmental Management and Pollution Control, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, PR ChinaKey Laboratory of Soil Environmental Management and Pollution Control, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, PR ChinaKey Laboratory of Soil Environmental Management and Pollution Control, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, PR ChinaCorresponding authors.; Key Laboratory of Soil Environmental Management and Pollution Control, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, PR ChinaKey Laboratory of Soil Environmental Management and Pollution Control, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, PR ChinaIn order to explore the distribution pattern of heavy metal risks in surface sediments of Mengjin Reservoir in Xinjiang, China, different risk level evaluation methods were used for analysis. The pollution index analysis shows that the heavy metals in the surface sediment of the reservoir are at an uncontaminated level, but arsenic (As) is within the pollution alert range; The potential ecological hazard index method shows that mercury (Hg) and cadmium (Cd) are the main ecological hazard contributing factors; Correlation analysis and principal component analysis suggest that As and Pb are mainly affected by human activities, while heavy metals chromium (Cr) and copper (Cu) mainly come from natural sources, while other heavy metals are simultaneously affected by both human activities and natural sources. The research results can provide decision support for preventing pollution in reservoirs and ensuring water quality safety.http://www.sciencedirect.com/science/article/pii/S1470160X25000391Ecological risk assessmentHeavy metalsNorthwest ChinaReservoirSource analysisSurface sediment |
| spellingShingle | Yufeng Xie Ming Kong Fei He Rongrong Ying Tao Long Spatial distribution characteristics, ecological risk assessment, and source analysis of heavy metals in surface sediment of a reservoir in northwest China Ecological Indicators Ecological risk assessment Heavy metals Northwest China Reservoir Source analysis Surface sediment |
| title | Spatial distribution characteristics, ecological risk assessment, and source analysis of heavy metals in surface sediment of a reservoir in northwest China |
| title_full | Spatial distribution characteristics, ecological risk assessment, and source analysis of heavy metals in surface sediment of a reservoir in northwest China |
| title_fullStr | Spatial distribution characteristics, ecological risk assessment, and source analysis of heavy metals in surface sediment of a reservoir in northwest China |
| title_full_unstemmed | Spatial distribution characteristics, ecological risk assessment, and source analysis of heavy metals in surface sediment of a reservoir in northwest China |
| title_short | Spatial distribution characteristics, ecological risk assessment, and source analysis of heavy metals in surface sediment of a reservoir in northwest China |
| title_sort | spatial distribution characteristics ecological risk assessment and source analysis of heavy metals in surface sediment of a reservoir in northwest china |
| topic | Ecological risk assessment Heavy metals Northwest China Reservoir Source analysis Surface sediment |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X25000391 |
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