Radioecological modelling and the computer codes for calculations of doses to marine biota and man in the Arctic
Introduction
Several sources of radionuclides have contributed to the contamination of the Arctic Seas. Among these are atmospheric fallout from nuclear tests, the Chernobyl accident, the contaminated waters of Siberian rivers and sea currents carrying discharges from the West-European nuclear processing plants. For three decades Russia practised the dumping of solid radioactive wastes (RW) in the Kara Sea near the Novaya Zemlya archipelago. Since 1993, major international efforts have been directed to the evaluation of long-term radiological consequences of dumping in the shallow Arctic sea (Strand and Holm, 1993, Strand et al., 1994, Strand and Cooke, 1995, Strand, 1997, Strand and Jolle, 1999, AMAP, 1998, IAEA, 1998). Up to now the levels of the radioactive contamination of the Arctic Seas are relatively low compared to marine areas of Western Europe. However, accidental or continuous releases of radionuclides from the sources of potential hazards may lead to radioactive contamination of some discrete areas of the Arctic Seas.
The Barents Sea and the Norwegian Sea are characterized as highly productive fishing regions. Because of severe climatic conditions, many species of fish exhibit extensive feeding, wintering and spawning migrations during the year, thereby covering distances of over a thousand miles. Such long-distance migrations of commercial fish may lead to a biological transfer of artificial radionuclides from a highly contaminated local area to distant non-contaminated areas.
Until recently the radiation protection of biota was based on a general assumption that so long as levels of radioactivity in the environment were controlled sufficiently to protect man, the natural ecosystems were automatically protected. However, the living environment for non-human organisms in the natural ecosystems differ considerably from those for man, and the radiation dose rates to non-human organisms may be orders of magnitude higher than exposure of man.
There is a great body of information on environmental radioactivity in the Arctic, see Table 1, Table 2, Table 3 (Strand and Holm, 1993, Strand and Cooke, 1995, Strand, 1997, Strand and Jolle, 1999). However, only a few scientific papers are concerned with assessments of doses to Arctic biota and man (Kryshev and Sazykina, 1995, Sazykina and Kryshev, 1997).
Under natural conditions, organisms are exposed to various sources of ionizing radiation. The absorbed dose to aquatic organisms depends on a number of factors. Among them are type and energy of emitters (photons, beta particles, alpha particles, protons, neutrons, etc.), radiation source geometry (point or extended), space distribution and time evolution of radionuclide concentrations in components of aquatic ecosystems, ecological–physiological parameters and stage of ontogenesis of organisms (IAEA, 1976, IAEA, 1979, Kryshev and Sazykina, 1986, Kryshev and Sazykina, 1990, Kryshev and Sazykina, 1995, Amiro, 1997). In the marine environment, doses to biota are originated from external irradiation owing to the presence of radionuclides in the water column and bottom sediments, and from internal irradiation from incorporated radionuclides.
The objectives of this paper are the development of models and computer codes based on site-specific radioecological information, which can be used to calculate doses to Arctic marine biota and man.
The modelling of doses to humans and biota is an important tool in the assessment of the impact of radionuclides released into the environment. Input data on the concentrations of radionuclides in biota and abiotic marine environment (water, sediments) are required for the calculation of doses. This can be derived either directly from analysis of the monitoring data on the marine ecosystems contamination, or by modelling the transport and fate of radionuclides in marine ecosystems under different release scenarios.
Section snippets
Models for dose assessment to aquatic biota
Taking into account the fact that aquatic organisms have different life spans, we use mainly the relationships for dose rates (doses per unit of time). If required, one can switch to doses by introducing the time factor, using the formula:where D is the absorbed dose, P(t) is the dose rate, and T is the life span of the organism.
In the general case, the assessment of doses to organisms is an intricate problem. For the sake of simplicity, the dose rate assessments, as a rule, will be
Assessment of dose to man from seafood consumption
When assessing doses to man, we took into consideration that the ingestion dose makes a major contribution to the total dose to man in the case of the Arctic Seas contamination. The dose from consumption of seafood products (fish, crustaceans and molluscs) was taken into account. The values of dosimetric coefficients were taken from (IAEA, 1996).
Calculations of individual dose (Sv year−1) are made using the formula:where Dind(t)=annual individual dose to man
General characteristics of the computer codes
The methodology for calculating doses to marine organisms in the Arctic Seas and doses to man from seafood consumption is realized in the form of computer codes. Two programs have been written, DOSBIO (doses to marine biota) and DOSMAN (doses to man from arctic seafood consumption). The code language is FORTRAN90 (Fortran Power Station 4.0). Site-specific biological and radioecological database on the Arctic Seas is included in the computer codes.
Results of dose assessment
Computer codes DOSBIO and DOSMAN were employed to assess current doses to marine biota in the Barents and Kara Seas, as well as dose to man from seafood consumption. Actual radioactivity levels in components of the marine ecosystems were used as input data for calculations. The averaged data on concentrations of radionuclides in sea water, bottom sediments and biota are given in Table 1, Table 2, Table 3 (Strand and Holm, 1993, Strand et al., 1994, Strand and Cooke, 1995, Strand, 1997, Strand
Conclusions
The paper presents methods and computer software (codes DOSBIO and DOSMAN) for assessment of radiation doses to biota and man in the Arctic marine environments. Computer code DOSBIO allows us to obtain quick results on dose rates to different species of arctic marine biota associated with the current or potential contamination of the Arctic Seas. The DOSBIO code includes data on 35 radionuclides, biological characteristics of 15 species of marine organisms, database on the current levels of
Acknowledgements
Support for this work was provided under the EC INCO-COPERNICUS project ENVIRONMENTAL PROTECTION FROM IONIZING CONTAMINANTS IN THE ARCTIC (EPIC), and the Norwegian EFFECT Programme funded by the Norwegian Radiation Protection Authority.
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2020, Journal of Environmental RadioactivityCitation Excerpt :Research conducted in China also showed a low radiation risk (internal and external) in the marine ecosystem; those results were also obtained with the ERICA Tool (Li et al., 2015). In Barents and Kara Arctic seas the internal dose rate from artificial radionuclides to marine biota is 20 × 10−9 ÷ 30 × 10−9Gy/d (0.83 × 10−9 ÷ 1.25 × 10−9μGy/h) (Kryshev et al., 2001). In the Yellow Sea the dose rate for fish caused by the internal 137Cs exposure ranges from one hundredth to several thousandths nGy/h (Yang et al., 2015).
A biomonitoring plan for assessing potential radionuclide exposure using Amchitka Island in the Aleutian chain of Alaska as a case study
2007, Journal of Environmental RadioactivityCitation Excerpt :One component of such protection is the monitoring of environmental media or biota. While models are useful in predicting what concentrations might be expected in different biota compartments (Kryshev et al., 2001; Matishov et al., 2001; Hakanson, 2005), measurements of actual concentrations in biota and foods consumed are clearly directly useful in predicting intake rates and ultimately doses, particularly when the public is included in determining what species and foods are tested (Burger et al., 2005, 2006). Further, biomonitoring can provide early warning of potential effects both for people who consume fish and wildlife from the region, as well as of potential food chain and ecosystem effects.