Hostname: page-component-586b7cd67f-dsjbd Total loading time: 0 Render date: 2024-11-26T22:42:30.671Z Has data issue: false hasContentIssue false

Radioecological assessments of the Iodine working group of IAEA's EMRAS programme: Presentation of input data and analysis of results of the prague scenario

Published online by Cambridge University Press:  06 June 2009

M. Bartusková
Affiliation:
NRPI, Ostrava, Czech Republic
I. Malátová
Affiliation:
NRPI, Prague, Czech Republic
V. Berkovskyy
Affiliation:
IAEA, Vienna, Austria
P. Krajewski
Affiliation:
CLOR, Warsaw, Poland
M. Ammann
Affiliation:
STUK, Helsinki, Finland
V. Filistovic
Affiliation:
Institute of Physics, Vilnius, Lithuania
T. Homma
Affiliation:
Japan Atomic Energy Agency, Ibaraki-ken, Japan
J. Horyna
Affiliation:
SONS, Prague, Czech Republic
B. Kanyár
Affiliation:
University of Pannonia, Veszprem, Hungary
T. Nedveckaite
Affiliation:
Institute of Physics, Vilnius, Lithuania
O. Vlasov
Affiliation:
MRRC, RAMS, Obninsk, Russian Federation
I. Zvonova
Affiliation:
IRH, St. Petersburg, Russian Federation
Get access

Abstract

In 2003 IAEA launched the EMRAS Programme aiming at evaluating the predictive power of radiological models. The programme continued work of previous international radioecological modelling programmes and comprised several working groups focusing on different aspects of environmental modelling. The Iodine Working Group reassessed the impact of the release of 131I during the Chernobyl accident with the aim of comparing model predictions with environmental data and inter-comparing the model predictions. Measurement data and detailed geographic and demographic descriptions were available for three regions: Plavsk, Warsaw and Prague. As for the Prague Scenario, milk supply regions of three big dairies were chosen for the model validation. Apart from geographic, demographic and agricultural descriptions (e.g. gathering regions of the dairies, feeding regime), the modellers were provided with information on the weather conditions and measurement data of iodine contamination. The most important peculiarities of Prague Scenario were keeping milk cattle in sheds and a special feeding regime during May 1986. The modellers were asked to assess the 131I content in the thyroid of the local population and the resulting dose. The assessments were compared with measurement data. The results of these model calculations and their comparison with experimental data are presented.

Type
Research Article
Copyright
© EDP Sciences, 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Wilhelmová, L., Tomášek M. and Rybáèek, K. Aerosol and gaseous radioiodine concentration in the air of Prague after the Chernobyl accident, J. Radioanal. Nucl. Chem., Letters 117 (50, 305–309, 1987)
Report on Radiation Situation in CSSR after Chernobyl Accident. Institute of Hygiene and Epidemiology, Centre of Radiation Hygiene, Prague, 1986
Validation of models using Chernobyl fallout data from the Central Bohemia region of the Czech Republic, Scenario CB, First report of the VAMP multiple Pathways Assessment Working Group, IAEA-TECDOC-795, IAEA, Vienna, April 1995
Krajewski, P., Ammann, M., Bartusková, M., Duffa, C., Filistovic, V., Homma, T., Kanyár, B., Malátová, I., Nedveckaite, T., Simon, S., Vlasov, O., Webbe-Wood, D. and Zvonova, I.: Validation of dosimetry models and assessment of the countermeasures effectiveness using data from Chernobyl 131I releases, International Conference on Environmental Radioactivity: From Measurements and Assessments to Regulation, 23–27. April 2007, Vienna, Austria
Likhtarev, I. A., Shandala, N. K., Gulko, G. M., et al. Ukrainian thyroid doses after the Chernobyl accident, Health Physics 64(6), 594–599, 1993).
Pitkevich, V.A., Shershakov, V. M., Duba, V. V., et al. Reconstruction of composition of the Chernobyl radionuclide fallout in the territories of Russia. Radiation and Risk 3:62–93, 1993. (In Russian)