Source apportionment and ecological risk assessment of heavy metals in sediments of Dongping lake based on PCA-PMF model
Rattachement africain : cn. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Accurately characterizing the spatial distribution of heavy metals in lake surface sediments, analyzing their sources, and identifying potential ecological risks are important scientific supports for lake ecosystem management. This study selected Dongping Lake, a typical inland shallow lake in the eastern region, as the research object. It systematically analyzed the distribution characteristics, source identification, and ecological risks of eight heavy metals (As, Zn, Cu, Ni, Cd, Hg, Pb, and Cr) in the sediments of Dongping Lake by employing a combination of statistical analysis, cluster analysis, principal component analysis (PCA), and positive matrix factorization (PMF) models, along with the enrichment factor method, geoaccumulation index method, and potential ecological risk assessment method. The results show that the concentrations of the eight heavy metals (As, Zn, Cu, Ni, Cd, Hg, Pb, and Cr) in the study area exhibit an overall improving trend, with significant spatial heterogeneity, and relatively higher concentrations in the central and southern regions. Through multivariate statistical analysis, three major sources of metal accumulation were identified: industrial and agricultural activities (As, Cu, Hg, Cd), traffic emissions (Zn, Ni, Pb), and natural geological background (Cr). Enrichment characteristics showed that Cd, As, and Hg were moderately to heavily enriched, and the potential ecological risk index (RI) indicated that Hg and Cd are the main risk factors, with contribution rates of 41.83% and 37.77%, respectively. The study revealed the dominant role of human activities in the accumulation of heavy metals in the sediments of Dongping Lake, providing a scientific basis for precise pollution control and ecological restoration in the watershed.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Source apportionment and ecological risk assessment of heavy metals in sediments of Dongping lake based on PCA-PMF model
- Date Crossref
- 31/08/2025
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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China Geological Survey pays non établi dans la noticeInstitution
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Hebei GEO University Hebei Province Collaborative Innovation Center for Sustainable Utilization of Water Resources and Optimization of Industrial Structure pays non établi dans la noticeUniversité ou école supérieure
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Fujian Provincial Key Laboratory of Water Cycling and Eco-Geological Processes pays non établi dans la noticeStructure de recherche
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Innovation Base for Natural Resource Monitoring Technology in the Downstream Area of Yongding River of the Geological pays non établi dans la noticeOrganisation à but non lucratif
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Langfang Natural Resources Comprehensive Survey Center pays non établi dans la noticeInstitution
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China. anhongyan@mail.cgs.gov.cn Langfang pays non établi dans la noticeOrganisation à but non lucratif
China Geological Survey, Hebei Province Collaborative Innovation Center for Sustainable Utilization of Water Resources and Optimization of Industrial Structure — Hebei GEO University et Fujian Provincial Key Laboratory of Water Cycling and Eco-Geological Processes, avec 3 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.