Numerical modelling of radionuclide uptake by bluefin tuna along its migration routes in the Mediterranean Sea after a nuclear accident
A numerical model which simulates the adsorption of radionuclides by migrating bluefin tuna in the Mediterranean Sea is described, in order to determine the level of contamination of these fish after a hypothetical nuclear accident and thus be able to assess the possible impact on human consumption. A 4-species foodweb model is incorporated into a Lagrangian model describing physical transport (advection, mixing, radioactive decay and interactions of radionuclides with sediments). Tuna is the last trophic level in the foodweb model and the equation providing the temporal evolution of radionuclide concentration in its flesh is solved along the fish trajectories, which were obtained through electronic tagging of fishes. The model was applied to the western Mediterranean, where several worst-case hypothetical accidents were simulated, both from a coastal nuclear power plant and from a vessel. Resulting <sup>137</sup>Cs concentrations in migrating tuna were similar, or slightly higher, than reported background concentrations in these fishes and well below established safety levels. Maximum calculated concentrations in tuna flesh is in the order of 1 Bq/kg (wet weight). This is due to the rapid movement of the fishes, which spend only limited time over the most contaminated spots.
Authors
- Barbara A. Block (ORCID: https://orcid.org/0000-0001-5181-3616)
- Michael Castleton
- Pablo Cermeño
- Carmen Cortés (ORCID: https://orcid.org/0000-0002-9930-6987)
- Simon Dedman (ORCID: https://orcid.org/0000-0002-9108-972X)
- Raúl Periáñez
Institutions
- Pacific University (US)
- Universidad de Sevilla (ES)
- Stanford University (US)
Publication Details
- Journal
- Marine Environmental Research
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1016/j.marenvres.2024.106757
- Citations
- 1
- Primary Topic
- Radioactive contamination and transfer
- Type
- article
- Field-Weighted Citation Impact
- 0.28