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| Natura: | Artículo científico |
| Lingua: | en |
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Marine pollution bulletin
2026
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| Soggetti: | |
| Accesso online: | https://pubmed.ncbi.nlm.nih.gov/41232312/ |
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| _version_ | 1868266127723855872 |
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| author | Wu, Qiumei Liu, Peng Zhang, Shiyi Yan, Guojing Tian, Kang Hu, Wenyou Wang, Tieyu Khim, Jong Seong Hong, Seongjin Kwon, Bong-Oh Fan, Ya''nan Huang, Biao |
| author_facet | Wu, Qiumei Liu, Peng Zhang, Shiyi Yan, Guojing Tian, Kang Hu, Wenyou Wang, Tieyu Khim, Jong Seong Hong, Seongjin Kwon, Bong-Oh Fan, Ya''nan Huang, Biao Wu, Qiumei Liu, Peng Zhang, Shiyi Yan, Guojing Tian, Kang Hu, Wenyou Wang, Tieyu Khim, Jong Seong Hong, Seongjin Kwon, Bong-Oh Fan, Ya''nan Huang, Biao |
| collection | PubMed - marine biology |
| contents | Tracing threats across the land-marine transition areas: Decoding heavy metal sources and risks in soil-water-sediment systems of northern and eastern coastal China. Wu, Qiumei Liu, Peng Zhang, Shiyi Yan, Guojing Tian, Kang Hu, Wenyou Wang, Tieyu Khim, Jong Seong Hong, Seongjin Kwon, Bong-Oh Fan, Ya''nan Huang, Biao China Environmental Monitoring Metals, Heavy Geologic Sediments Soil Pollutants Water Pollutants, Chemical Soil Risk Assessment Heavy metal(loid)s (HMs) in coastal environments exhibit complex cross-media transport and ecological risks under the combined influence of natural and anthropogenic processes. This study conducted a comprehensive tri-media (soil, water, and sediment) assessment in a typical coastal area of northern and eastern China. The study integrated geochemical baselines (GeoBs), source apportionment, partitioning behavior, and ecological risk prediction. GeoBs of cadmium (Cd) and lead (Pb) in both soil and sediment exceeded regional background levels. 22.55 % of the sampling sites for Cd and 28.43 % for Pb were located within the dual-media pollution zone. PMF analysis indicated two main source categories: lithogenic inputs (Cr, Ni) contributed 46.2 % in sediment and 50.9 % in soil, while anthropogenic activities (agriculture, industry, atmospheric deposition) accounted for 37-41 %. Pb isotope ratios (Pb/Pb = 1.17 ± 0.013) in surface soils overlapped with signatures from factory and vehicular emissions. Cd isotope analysis showed that about 56 % of Cd in surface soils originated from anthropogenic inputs, with 44 % derived from parent material. Partition coefficient (K) values indicated high Cd mobility and strong Pb particle affinity. Structural Equation Modeling (SEM) identified organic matter (OM) and pH as key cross-media regulators. XGBoost-based ecological risk modeling showed robust performance (R = 0.714-0.747), with Cd contamination factor, OM, pH, and K as dominant predictors. Zones of high ecological risk were concentrated near the Yalu River estuary. This integrative strategy provides novel tools for tracing pollutant sources, assessing ecosystem health, and guiding transboundary pollution management in the Bohai-Yellow Sea region. |
| format | Artículo científico |
| id | pubmed_41232312 |
| institution | PubMed |
| language | en |
| publishDate | 2026 |
| publisher | Marine pollution bulletin |
| record_format | pubmed |
| spellingShingle | Tracing threats across the land-marine transition areas: Decoding heavy metal sources and risks in soil-water-sediment systems of northern and eastern coastal China. Wu, Qiumei Liu, Peng Zhang, Shiyi Yan, Guojing Tian, Kang Hu, Wenyou Wang, Tieyu Khim, Jong Seong Hong, Seongjin Kwon, Bong-Oh Fan, Ya''nan Huang, Biao China Environmental Monitoring Metals, Heavy Geologic Sediments Soil Pollutants Water Pollutants, Chemical Soil Risk Assessment Tracing threats across the land-marine transition areas: Decoding heavy metal sources and risks in soil-water-sediment systems of northern and eastern coastal China. Wu, Qiumei Liu, Peng Zhang, Shiyi Yan, Guojing Tian, Kang Hu, Wenyou Wang, Tieyu Khim, Jong Seong Hong, Seongjin Kwon, Bong-Oh Fan, Ya''nan Huang, Biao China Environmental Monitoring Metals, Heavy Geologic Sediments Soil Pollutants Water Pollutants, Chemical Soil Risk Assessment Heavy metal(loid)s (HMs) in coastal environments exhibit complex cross-media transport and ecological risks under the combined influence of natural and anthropogenic processes. This study conducted a comprehensive tri-media (soil, water, and sediment) assessment in a typical coastal area of northern and eastern China. The study integrated geochemical baselines (GeoBs), source apportionment, partitioning behavior, and ecological risk prediction. GeoBs of cadmium (Cd) and lead (Pb) in both soil and sediment exceeded regional background levels. 22.55 % of the sampling sites for Cd and 28.43 % for Pb were located within the dual-media pollution zone. PMF analysis indicated two main source categories: lithogenic inputs (Cr, Ni) contributed 46.2 % in sediment and 50.9 % in soil, while anthropogenic activities (agriculture, industry, atmospheric deposition) accounted for 37-41 %. Pb isotope ratios (Pb/Pb = 1.17 ± 0.013) in surface soils overlapped with signatures from factory and vehicular emissions. Cd isotope analysis showed that about 56 % of Cd in surface soils originated from anthropogenic inputs, with 44 % derived from parent material. Partition coefficient (K) values indicated high Cd mobility and strong Pb particle affinity. Structural Equation Modeling (SEM) identified organic matter (OM) and pH as key cross-media regulators. XGBoost-based ecological risk modeling showed robust performance (R = 0.714-0.747), with Cd contamination factor, OM, pH, and K as dominant predictors. Zones of high ecological risk were concentrated near the Yalu River estuary. This integrative strategy provides novel tools for tracing pollutant sources, assessing ecosystem health, and guiding transboundary pollution management in the Bohai-Yellow Sea region. |
| title | Tracing threats across the land-marine transition areas: Decoding heavy metal sources and risks in soil-water-sediment systems of northern and eastern coastal China. |
| topic | China Environmental Monitoring Metals, Heavy Geologic Sediments Soil Pollutants Water Pollutants, Chemical Soil Risk Assessment |
| url | https://pubmed.ncbi.nlm.nih.gov/41232312/ |