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Understanding impacts of organic contaminants from aquaculture on the marine environment using a chemical fate model.
Niu, Shan; Chen, Ruiwen; Hageman, Kimberly J; McMullin, Rebecca M; Wing, Stephen R; Ng, Carla A.
Affiliation
  • Niu S; Department of Chemistry & Biochemistry, Utah State University, Logan, UT 84322, USA.
  • Chen R; Department of Chemistry & Biochemistry, Utah State University, Logan, UT 84322, USA.
  • Hageman KJ; Department of Chemistry & Biochemistry, Utah State University, Logan, UT 84322, USA. Electronic address: kim.hageman@usu.edu.
  • McMullin RM; Department of Marine Science, University of Otago, Dunedin 9016, New Zealand.
  • Wing SR; Department of Marine Science, University of Otago, Dunedin 9016, New Zealand.
  • Ng CA; Departments of Civil and Environmental Engineering and Environmental & Occupational Health, University of Pittsburgh, Pittsburgh, PA 15261, USA.
J Hazard Mater ; 443(Pt A): 130090, 2023 Feb 05.
Article in En | MEDLINE | ID: mdl-36279653
As demand for sustainable marine aquaculture (mariculture) and marine food supply surges worldwide, there is a growing need for new tools to assess mariculture impacts on local ecosystems, including the cycling of toxic organic contaminants. With this in mind, we developed the Contaminant Fate in Aquaculture-Modified Ecosystems (CFAME) model. The current model was designed to explore the fate of mariculture-derived organic contaminants in the Marlborough Sounds, New Zealand, known for its Chinook salmon farming industry. Model evaluation indicated robust model design, with 80% of modeled concentrations falling within a factor of ten of measured ones for native biota. Model results showed that mariculture was a source of organic contaminants in the sediment even at the Marlborough Sounds regional level and in wild marine fishes with high trophic levels near the farm area. Future research attention should be directed toward measuring chemicals with low log KAW (<0) and high log KOW values (e.g., >3) in sediment, and chemicals with log KOW values of 3-9 in wild fish.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical Type of study: Prognostic_studies Limits: Animals Language: En Journal: J Hazard Mater Journal subject: SAUDE AMBIENTAL Year: 2023 Document type: Article Affiliation country: United States Country of publication: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical Type of study: Prognostic_studies Limits: Animals Language: En Journal: J Hazard Mater Journal subject: SAUDE AMBIENTAL Year: 2023 Document type: Article Affiliation country: United States Country of publication: Netherlands