Optimizing entropy weight model to accurately predict variation of pharmaceuticals and personal care products in the estuaries and coasts of the South China.

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  • Additional Information
    • Source:
      Publisher: Elsevier Country of Publication: England NLM ID: 0260231 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-3363 (Electronic) Linking ISSN: 0025326X NLM ISO Abbreviation: Mar Pollut Bull Subsets: MEDLINE
    • Publication Information:
      Publication: 2003- : Oxford : Elsevier
      Original Publication: London, Macmillan.
    • Subject Terms:
    • Abstract:
      Pharmaceuticals and personal care products (PPCPs) have raised increasing concern worldwide due to their continuous release and potential hazards to the ecosystem and human health. This study optimized the entropy weight model (EW-WRSR) that combines entropy weight with multi-criteria decision analysis to investigate pollution patterns of PPCPs in the coasts and estuaries. The results revealed that occurrences of PPCPs from the 1940s to the present were consistent with using PPCPs, different types of human activities, and local urban development. This helped better understand the history of PPCP contamination and evaluate the uncertainty of EW-WRSR. The model predicted hotspots of PPCPs that were consistent with the actual situation, indicating that PPCPs mainly enter the nearshore ecosystem by the form of sewage discharge and residual aquaculture. This study can provide method that identifying highly contaminated regions on a global scale.
      Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
      (Copyright © 2024 Elsevier Ltd. All rights reserved.)
    • Contributed Indexing:
      Keywords: Entropy weight method; PPCPs; Pollutant index system; Uncertainty analysis; Weight rank-sum ratio method
    • Accession Number:
      0 (Water Pollutants, Chemical)
      0 (Pharmaceutical Preparations)
      0 (Cosmetics)
    • Publication Date:
      Date Created: 20240814 Date Completed: 20240917 Latest Revision: 20240917
    • Publication Date:
      20240917
    • Accession Number:
      10.1016/j.marpolbul.2024.116825
    • Accession Number:
      39142051