Methods for dosimetry support of radiation-epidemiological studies carried out at NRER
Автор: Vlasov O.K., Shchukina N.V., Chekin S.Yu., Tumanov K.A.
Рубрика: Научные статьи
Статья в выпуске: 1 т.30, 2021 года.
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The paper reviews methods for reconstruction of dynamics of radiation doses to the public exposed to radiation after the Chernobyl accident. The methods are used in radiation-epidemiological studies carried out at the National Radiation and Epidemiological Registry (NRER). The methods development was based on the joint NRER-RIRH (the Saint Petersburg Research Institute of Radiation Hygiene) base of radiometric data and modified RIRH methods, approved by the Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing (Rospotrebnadzor). Radiation dosimetry data for NRER radiation-epidemiological studies analytical model is used. The model is the modified version of formally approved method for reconstruction of thyroid internal radiation doses received by people lived in areas of Russia contaminated with radionuclides after the Chernobyl accident. The paper describes the joint NRER-RIRH database of radiometry data on 131I activity in the thyroid, 137Cs activity in the whole-body of residents of Bryansk and Kaluga regions collected in 1986, as well as whole body counting performed in the Bryansk region in later years. The mode of modification of formally approved methods for computation of internal thyroid and whole-body radiation doses to the people irradiated in 1986 is described in the paper. Magnitudes of standard errors of calculated mean values of radiation doses to the population of a specific settlement and individual internal radiation doses are given in the paper.
Chernobyl accident, radiometry and wbc-counting, models for radionuclides transfer in food chain, methods for radiation doses assessment, current methodology guidelines, nrer methods, reconstruction and verification, individual doses distribution, uncertainties assessment, deterministic and stochastic radiation doses estimate
Короткий адрес: https://sciup.org/170179204
IDR: 170179204 | DOI: 10.21870/0131-3878-2021-30-1-40-57