Spatiotemporal patterns, source apportionment, and ecological risk of major and trace elements in sediment cores from Anzali International Wetland

Wetlands, critical yet vulnerable ecosystems worldwide, are increasingly threatened by contamination from anthropogenic activities. This study investigates the spatial and vertical distribution of 17 major and trace elements in sediment cores from the Anzali International Wetland, a Ramsar site in Iran under pressure from urbanization, agriculture, and industry. Cores were sliced at 2-cm intervals and analyzed via ICP-MS to reconstruct historical trends and evaluate spatiotemporal distributions, sources, and ecological risks using geoaccumulation index (I<sub>geo</sub>), enrichment factor (EF), and pollution load index (PLI). Multivariate analyses (PCA, HCA) identified lithogenic (Al, Fe), carbonate-associated (Ca, Sr), and anthropogenic (Cd, Pb, Zn) elemental groupings. Severe Cd contamination (I<sub>geo</sub> > 5; EF > 40) was found at site 1, linked to industrial/agricultural discharges, while sites 2 and 3 showed moderate heavy metal enrichment. Cd, Cr, and Ni exceeded sediment quality guidelines, indicating significant ecological risk. Vertical profiles revealed contamination peaks at 24-26 cm (Site 1) and 50-62 cm (Site 2), correlating with historical pollutant influx. Sediment texture and organic matter influenced metal binding. PLI confirmed significant pollution (PLI > 3) across all sites, with Cd posing the highest risk. This study underscores the critical role of integrated sediment core analysis in reconstructing pollution history and informing targeted management strategies to protect and restore vulnerable aquatic ecosystems globally.

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Publication Details

Journal
Scientific Reports
Published
2025-11-25
DOI
https://doi.org/10.1038/s41598-025-25947-9
Primary Topic
Heavy metals in environment
Type
article
Field-Weighted Citation Impact
0.00

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Spatiotemporal patterns, source apportionment, and ecological risk of major and trace elements in sediment cores from Anzali International Wetland

Yaojin Chen, Guizhi Wang, Nima Pourang, L. Zhong et al.
Scientific Reports
Heavy metals in environment
article

Spatiotemporal patterns, source apportionment, and ecological risk of major and trace elements in sediment cores from Anzali International Wetland

Yaojin Chen, Guizhi Wang, Nima Pourang, L. Zhong, Alireza Mirzajani, Deli Wang
article en

Abstract

Wetlands, critical yet vulnerable ecosystems worldwide, are increasingly threatened by contamination from anthropogenic activities. This study investigates the spatial and vertical distribution of 17 major and trace elements in sediment cores from the Anzali International Wetland, a Ramsar site in Iran under pressure from urbanization, agriculture, and industry. Cores were sliced at 2-cm intervals and analyzed via ICP-MS to reconstruct historical trends and evaluate spatiotemporal distributions, sources, and ecological risks using geoaccumulation index (I<sub>geo</sub>), enrichment factor (EF), and pollution load index (PLI). Multivariate analyses (PCA, HCA) identified lithogenic (Al, Fe), carbonate-associated (Ca, Sr), and anthropogenic (Cd, Pb, Zn) elemental groupings. Severe Cd contamination (I<sub>geo</sub> > 5; EF > 40) was found at site 1, linked to industrial/agricultural discharges, while sites 2 and 3 showed moderate heavy metal enrichment. Cd, Cr, and Ni exceeded sediment quality guidelines, indicating significant ecological risk. Vertical profiles revealed contamination peaks at 24-26 cm (Site 1) and 50-62 cm (Site 2), correlating with historical pollutant influx. Sediment texture and organic matter influenced metal binding. PLI confirmed significant pollution (PLI > 3) across all sites, with Cd posing the highest risk. This study underscores the critical role of integrated sediment core analysis in reconstructing pollution history and informing targeted management strategies to protect and restore vulnerable aquatic ecosystems globally.

Scientific ReportsVol. 15(1)
Xiamen University (CN), Iranian Research Organization for Science and Technology (IR), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN), Agricultural Research & Education Organization (IR), Agricultural Biotechnology Research Institute of Iran (IR), Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (CN)
National Science Foundation, Iran National Science Foundation, Xiamen University, State Key Laboratory of Marine Environmental Science
Openalex Percentile: Top 70%
Heavy metals in environment
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