Current doses arising from external and internal pathways have been estimated for the residents of two villages, Muslumovo and Brodokalmak, alongside the Techa River, which was contaminated by radioactive releases from the Mayak production facility. The dose estimates are based on numerous environmental measurements supplemented by further human whole body measurements and studies on occupational and dietary habits of Slavic and Turkish ethnic groups. Estimated doses arise mainly from use of the contaminated floodplains alongside the Techa River. The current average annual effective dose attributable to Cs and Sr in the environment, under conditions where restrictions on some river-related activities are in place, may exceed the Russian national action level of 1 mSv only in the hypothetical critical group of herdsmen in Muslumovo. The dose to this critical group in Brodokalmak is assessed to be 3 times less than that in Muslumovo and 2 fold below the action level. The external and internal exposures give comparable contributions to the total dose in both settlements and population groups: 47% and 53% in Muslumovo and 40% and 60% in Brodokalmak, respectively. About one quarter to one half of the internal dose in adults arises from the intake of Sr. In order to avoid substantial increases in the dose received by Muslumovo residents, it is expedient to prolong the current policy of restriction of some river-related population activities in this village.
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http://dx.doi.org/10.1097/01.HP.0000237599.92479.09 | DOI Listing |
Dokl Biochem Biophys
September 2024
Urals Research Center for Radiation Medicine of the Federal Medical and Biological Agency of Russia, Chelyabinsk, Russia.
The objective of this work was to study the expression of the TBX21, RORC, GATA3, NFKB1, MAPK8, and STAT3 genes responsible for the regulation of the differentiation of various T-helper subpopulations in individuals chronically exposed to radiation. The object of the study was peripheral blood cells obtained from 120 persons chronically exposed to radiation in a wide range of doses on the Techa River. The mean cumulative absorbed dose to red bone marrow in the examined exposed individuals was 742.
View Article and Find Full Text PDFThe objective of this study is to evaluate the uncertainties of the dosimetric modeling of active marrow (AM) exposure from bone-seeking Sr. The stochastic parametric skeletal dosimetry (SPSD) model was specifically developed to study the long-term effects resulting from chronic Sr exposure in populations of the radioactively contaminated territories of the Southern Urals region of the Russian Federation. The method permits the evaluation of the dose factors ( and , which convert the radionuclide activity concentration in trabecular () and cortical () bone volumes into dose rate in the , and their uncertainties.
View Article and Find Full Text PDFRadiat Prot Dosimetry
September 2023
Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, Washington, 99354, USA.
Tooth enamel Electron Paramagnetic Resonance (EPR) spectroscopy was used as a method for external dosimetry in the territories contaminated in the 1950s by PA 'Mayak' (Urals region) to validate the mean dose estimates predicted by the Techa River Dosimetry System (TRDS). The purpose of this study is to validate the uncertainties of TRDS doses. Ninety percent confidence intervals (90% confidence interval, CI) of dose estimated with both methods were compared for 220 people.
View Article and Find Full Text PDFPLoS One
August 2023
Biophysics Laboratory, Urals Research Center for Radiation Medicine, Chelyabinsk, Russia.
Radiat Res
April 2023
Distinguished Professor of Science Emeritus, Department of Biology, College of the Holy Cross, Worcester, Massachusetts 01610.
This study explores the likely prevalence of false indications of dose-response nonlinearity in large epidemiologic cancer radiation cohort studies (A-bomb survivors, INWORKS, Techa River). Reasons: Increasing numbers of tests of nonlinearity are being made in studies. Hypothesized nonlinear dose-response models have been justified to policy makers by analyses that rely in part on isolated findings that could be statistical fluctuations.
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