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Inter-comparison of dynamic models for radionuclide transfer to marine biota in a Fukushima accident scenario

Overview of attention for article published in Journal of Environmental Radioactivity, December 2015
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Title
Inter-comparison of dynamic models for radionuclide transfer to marine biota in a Fukushima accident scenario
Published in
Journal of Environmental Radioactivity, December 2015
DOI 10.1016/j.jenvrad.2015.12.006
Pubmed ID
Authors

J Vives I Batlle, N A Beresford, K Beaugelin-Seiller, R Bezhenar, J Brown, J-J Cheng, M Ćujić, S Dragović, C Duffa, B Fiévet, A Hosseini, K T Jung, S Kamboj, D-K Keum, A Kryshev, D LePoire, V Maderich, B-I Min, R Periáñez, T Sazykina, K-S Suh, C Yu, C Wang, R Heling

Abstract

We report an inter-comparison of eight models designed to predict the radiological exposure of radionuclides in marine biota. The models were required to simulate dynamically the uptake and turnover of radionuclides by marine organisms. Model predictions of radionuclide uptake and turnover using kinetic calculations based on biological half-life (TB1/2) and/or more complex metabolic modelling approaches were used to predict activity concentrations and, consequently, dose rates of (90)Sr, (131)I and (137)Cs to fish, crustaceans, macroalgae and molluscs under circumstances where the water concentrations are changing with time. For comparison, the ERICA Tool, a model commonly used in environmental assessment, and which uses equilibrium concentration ratios, was also used. As input to the models we used hydrodynamic forecasts of water and sediment activity concentrations using a simulated scenario reflecting the Fukushima accident releases. Although model variability is important, the intercomparison gives logical results, in that the dynamic models predict consistently a pattern of delayed rise of activity concentration in biota and slow decline instead of the instantaneous equilibrium with the activity concentration in seawater predicted by the ERICA Tool. The differences between ERICA and the dynamic models increase the shorter the TB1/2 becomes; however, there is significant variability between models, underpinned by parameter and methodological differences between them. The need to validate the dynamic models used in this intercomparison has been highlighted, particularly in regards to optimisation of the model biokinetic parameters.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Unknown 61 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 29%
Student > Ph. D. Student 6 10%
Other 5 8%
Student > Master 5 8%
Student > Bachelor 4 6%
Other 11 18%
Unknown 13 21%
Readers by discipline Count As %
Environmental Science 25 40%
Agricultural and Biological Sciences 6 10%
Engineering 3 5%
Chemistry 3 5%
Earth and Planetary Sciences 2 3%
Other 6 10%
Unknown 17 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 October 2021.
All research outputs
#14,536,679
of 25,374,647 outputs
Outputs from Journal of Environmental Radioactivity
#811
of 1,534 outputs
Outputs of similar age
#189,652
of 396,020 outputs
Outputs of similar age from Journal of Environmental Radioactivity
#14
of 29 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,534 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 396,020 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.