Spatial modelling of transfer of long-lived radionuclides from soil to agricultural products in the Chernigov region, Ukraine

M. Van Der Perk, T. Lev, A. G. Gillett, J. P. Absalom, P. A. Burrough, N. M.J. Crout, E. K. Garger, N. Semiochkina, Y. V. Stephanishin, G. Voigt

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Within the RESTORE project ('restoration strategies for radioactive contaminated ecosystems') funded by the European Commission Nuclear Fission Safety Programme, environmental models are being developed to identify regions that are vulnerable to increased radionuclide transfer as a consequence of the Chernobyl nuclear power plant accident and nuclear weapons testing at the Semipalatinsk test site in Kazakhstan. Since radionuclide transfer varies in space and time depending on deposition processes, soil type, land use, and resulting contamination in food products, the radionuclide transfer through food chains derived from a variety of ecosystems is analysed by the use of models embedded in a Geographical Information System. The Chernigov region in northern Ukraine was affected by the Chernobyl fallout resulting in deposition levels ranging from 15 to 300 kBq m-2. GIS-based steady state and dynamic transfer models within an environmental decision support system (EDSS) were run for this region to model radiocaesium transfer from soil to various agricultural products on a collective farm level and on a district level within this region using spatial data sets of soil attributes, soil contamination and land use. Observed agricultural product contamination was available for comparison with model predictions. This paper presents examples of radiocaesium transfer from soil to fodder grass and potatoes to make an initial assessment of the radioecological situation in the Chernigov region to identify critical gaps in the model structure and data required for model input and validation. It highlights the feasibility of applying spatial and temporal data sets to make predictions of the present radioecological situation, as an alternative to approaches commonly used which categorise such data sets, thereby losing valuable information. (C) 2000 Elsevier Science B.V.

Original languageEnglish
Pages (from-to)35-50
Number of pages16
JournalEcological Modelling
Volume128
Issue number1
DOIs
Publication statusPublished - 3 Apr 2000

Bibliographical note

Funding Information:
Within the framework of the RESTORE project (‘restoration strategies for radioactive contaminated ecosystems’), funded by the European Commission, a GIS-based environmental decision support system (EDSS) is being developed to model radionuclide transfer from soil through food chains to humans based on the understanding of the nature of contamination, the geochemical, hydrological, and biological processes involved, and the different pathways of radionuclides. The principal aim of the EDSS is to identify vulnerable areas in terms of enhanced radionuclide transfer into food chains and/or presence of ‘critical population groups’ based on basic maps of soil contamination, soil type, and landuse, and consumption habits ( van der Perk et al., 1998 ) (see Fig. 1 ). This EDSS will be applied to areas in Ukraine, Belarus, and Russia that have been contaminated as a result of the Chernobyl nuclear power plant accident and areas in Kazakhstan contaminated as a result of nuclear weapons testing at the Semipalatinsk test site.

Funding Information:
The RESTORE project was funded by the European Commission DGXII Nuclear Fission Safety Programme (Association Contract No. F14P-CT95-0021c). The authors acknowledge all partners who have contributed to the development of the models in the EDSS, in particular the partners of the RESTORE related projects funded by the EC INCO-COPERNICUS Programme from Ukraine, Russia, and Belarus.

Funding

Within the framework of the RESTORE project (‘restoration strategies for radioactive contaminated ecosystems’), funded by the European Commission, a GIS-based environmental decision support system (EDSS) is being developed to model radionuclide transfer from soil through food chains to humans based on the understanding of the nature of contamination, the geochemical, hydrological, and biological processes involved, and the different pathways of radionuclides. The principal aim of the EDSS is to identify vulnerable areas in terms of enhanced radionuclide transfer into food chains and/or presence of ‘critical population groups’ based on basic maps of soil contamination, soil type, and landuse, and consumption habits ( van der Perk et al., 1998 ) (see Fig. 1 ). This EDSS will be applied to areas in Ukraine, Belarus, and Russia that have been contaminated as a result of the Chernobyl nuclear power plant accident and areas in Kazakhstan contaminated as a result of nuclear weapons testing at the Semipalatinsk test site. The RESTORE project was funded by the European Commission DGXII Nuclear Fission Safety Programme (Association Contract No. F14P-CT95-0021c). The authors acknowledge all partners who have contributed to the development of the models in the EDSS, in particular the partners of the RESTORE related projects funded by the EC INCO-COPERNICUS Programme from Ukraine, Russia, and Belarus.

Keywords

  • Chernobyl
  • Environmental modelling
  • Geographical information systems
  • Radiocaesium
  • Radioecology

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