Assessment of radionuclide contamination in the Black Sea using POSEIDON/RODOS system

Veleva, Blagorodka; Koziy, L.; Yushchenko, S.; Maderich, Vladіmir; Mungov, G.

doi:10.1051/radiopro/2002210

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…On the Figure 1 the distribution of 137 Cs in the surface layer in June 1986, reconstructed from measurements [9] after Chernobyl fall-out is depicted. Results of numerical experiments of the data assimilation for Black Sea are shown in Figure - …”

Section: Calculation Resultsmentioning

confidence: 99%

Modelling the radionuclide contamination of the Black Sea in the result of Chernobyl accident using circulation model and data assimilation

et al. 2005

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Abstract. Assimilation of observations is a powerful tool to improve the predictive capabilities of models for radionuclide transport and fate. We describe results of numerical experiments on assimilation of the data on radionuclide contamination of the Black Sea in the result of Chernobyl accident using the three-dimensional model of circulation and radionuclide transport THREETOX. Data assimilation can be formulated as a procedure that contains two steps: update and forecast. On the update step THREETOX is run from the time of release or deposition to the time of the forecast using the updated input from all the measured data available at this period to be assimilated. On the forecast step THREETOX is run from the forecast time to the end of the modeling period using the results of the update step to produce the forecast of radionuclide transport. The data assimilation method called "method of iterations to optimal solution" (IOS) was used at the update step. The approach has been applied to the assimilation of the observational data of 137 Cs concentration measured in the "Typhoon" surveys for the period June 1986 to September 1990. From the results of numerical experiments we conclude that usage of a data assimilation procedure can essentially improve predictive capability of the models for radionuclide transport. The computational time for the data assimilation method chosen is small in comparison with the general time of calculations. Results from the study will provide a better understanding of the processes of radionuclide transport in the seas. This novel approach was implemented in the EU DSS RODOS for the real-time simulation of radioactivity transport in the marine environment.

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Section: Calculation Resultsmentioning

confidence: 99%

Modelling the radionuclide contamination of the Black Sea in the result of Chernobyl accident using circulation model and data assimilation

et al. 2005

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“…The dynamical uptake model BURN for biota had been implemented earlier into the POSEIDON system to substitute the Concentration Factors (CF) approach -for aquatic organisms in seas and coastal regions, to assess the activity concentration of radionuclides in biota after accidental releases [2,3]. The reason is that in the case of accidental releases, there is no equilibrium between water and biota, especially in small coastal compartments and (parts of) estuaries.…”

Section: Introductionmentioning

confidence: 99%

The validation of the dynamic food chain model BURN-POSEIDON on Cs-137 and Sr-90 data of the Dnieper-Bug estuary, Ukraine

Heling

2011

Radioprotection

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Abstract. The uptake of radioceasium and radiostrontium in biota in dose assessment models is mostly estimated on the basis of Concentration Factors (CF). For accidental releases, the dynamical foodweb model BURN has been implemented in the coastal model POSEIDON (part of the Decision Support System RODOS). BURN can be applied on water bodies with different salinity levels, since in the model the uptake of radioceasium and radiostrontium in phytoplankton is governed by potassium and calcium in the water, which are calculated via the easier-to-obtain parameter salinity. Recently a dataset on radiocaesium and radiostrontium has been collected for various aquatic organisms in the Dnieper-Bug Estuary (DBE) in Ukraine, which enabled model validation with BURN. Considering the limitation of compartment models and the fact BURN is a predictive model, with fixed model parameters, the model results are within a reasonable range with the measurement data. Besides comparison with measurement data, the model calculations were also used to derive values for CF and compared with literature, which gave reasonable results for Cs-137 in fish and molluscs. For Sr-90 however, the calculated values exceeded the levels given in literature, since equilibrium between radionuclides in biota and water is not reached. Longer time periods for the radionuclide flux into the DBE, both from the Dnieper and the Black Sea are required to obtain high quality model results for the years after 1989.

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“…The compartment structure of POSEIDON-R namely was refined by using output data on hydrodynamics, temperature, and on salinity of the 3D-hydrodynamical model THREETOX. Since subdivisions were implemented for the Black Sea, Baltic Sea, and Dnieper Bug estuary, the salinity for these compartments are defined [4,5].…”

Section: Introductionmentioning

confidence: 99%

Modification of the dynamic radionuclide uptake model BURN by salinity driven transfer parameters for the marine foodweb and its integration in POSEIDON-R

Heling

2009

Radioprotection

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Abstract. This work is based on the describing a new approach in estimation of Concentration Factor (CF) for marine organisms radionuclides uptake. We considered the dependence of CF from the water salinity (determining the K + and Ca 2+ ions). The radionuclide uptake by the marine biota of Dnieper-Bug Estuary using the numerical compartment-model POSEIDON-R with latest modifications was applied. The levels of radionuclides in the different marine organisms, representing the various types of marine organisms in the different trophic levels of the foodweb, were calculated. The uptake model takes into account both the uptake of radionuclides via food consumption, by describing the predator-prey relations, and the direct uptake of radionuclides from the water via the gills.

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Assessment of radionuclide contamination in the Black Sea using POSEIDON/RODOS system

Cited by 5 publications

References 9 publications

Modelling the radionuclide contamination of the Black Sea in the result of Chernobyl accident using circulation model and data assimilation

Modelling the radionuclide contamination of the Black Sea in the result of Chernobyl accident using circulation model and data assimilation

The validation of the dynamic food chain model BURN-POSEIDON on Cs-137 and Sr-90 data of the Dnieper-Bug estuary, Ukraine

Modification of the dynamic radionuclide uptake model BURN by salinity driven transfer parameters for the marine foodweb and its integration in POSEIDON-R

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