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Radiobiological shot noise explains Three Mile Island biodosimetry indicating nearly 1,000 mSv exposures

The 1979 accident at the Three Mile Island nuclear power station in Pennsylvania released about 22 million Curies of xenon-133 into the environment. Because physical dosimetry indicated exposures to the nearby population of less than about 2 mSv, discernible impacts to the health of the exposed popu...

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Autor principal: Datesman, Aaron M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331574/
https://www.ncbi.nlm.nih.gov/pubmed/32616922
http://dx.doi.org/10.1038/s41598-020-67826-5
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author Datesman, Aaron M.
author_facet Datesman, Aaron M.
author_sort Datesman, Aaron M.
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description The 1979 accident at the Three Mile Island nuclear power station in Pennsylvania released about 22 million Curies of xenon-133 into the environment. Because physical dosimetry indicated exposures to the nearby population of less than about 2 mSv, discernible impacts to the health of the exposed population are not generally believed to have resulted. However, there is contrary evidence, including especially the results of biodosimetry via cytogenetic analysis using the FISH method. This report examines the discrepancy between the results of physical dosimetry and biodosimetry, which among the small number of persons examined indicated exposures between 600 and 900 mSv. The paradox reveals a fundamental error in the health physics body of knowledge: the definition of the energy imparted to tissue, ε, fails to properly account for the temporal distribution of ionization products resulting from dilute contamination with an internally incorporated beta-emitting radionuclide. Application of a century-old result describing “shot noise” in an electronic system repairs the deficiency. The Xe-133 concentration in the tissue of those individuals exposed to the most intense portion of the radioactive plume released from the TMI facility is shown to have been on the order of 0.1 μCi/l, persisting for multiple hours. Shot noise reference doses in the range from 820 to 1,700 mSv follow, a result which is consistent with biodosimetric analysis. The finding should motivate a comprehensive re-evaluation of the conventional understanding of the 1979 accident at the Three Mile Island nuclear power station, especially regarding its impact upon the population of the surrounding area.
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spelling pubmed-73315742020-07-06 Radiobiological shot noise explains Three Mile Island biodosimetry indicating nearly 1,000 mSv exposures Datesman, Aaron M. Sci Rep Article The 1979 accident at the Three Mile Island nuclear power station in Pennsylvania released about 22 million Curies of xenon-133 into the environment. Because physical dosimetry indicated exposures to the nearby population of less than about 2 mSv, discernible impacts to the health of the exposed population are not generally believed to have resulted. However, there is contrary evidence, including especially the results of biodosimetry via cytogenetic analysis using the FISH method. This report examines the discrepancy between the results of physical dosimetry and biodosimetry, which among the small number of persons examined indicated exposures between 600 and 900 mSv. The paradox reveals a fundamental error in the health physics body of knowledge: the definition of the energy imparted to tissue, ε, fails to properly account for the temporal distribution of ionization products resulting from dilute contamination with an internally incorporated beta-emitting radionuclide. Application of a century-old result describing “shot noise” in an electronic system repairs the deficiency. The Xe-133 concentration in the tissue of those individuals exposed to the most intense portion of the radioactive plume released from the TMI facility is shown to have been on the order of 0.1 μCi/l, persisting for multiple hours. Shot noise reference doses in the range from 820 to 1,700 mSv follow, a result which is consistent with biodosimetric analysis. The finding should motivate a comprehensive re-evaluation of the conventional understanding of the 1979 accident at the Three Mile Island nuclear power station, especially regarding its impact upon the population of the surrounding area. Nature Publishing Group UK 2020-07-02 /pmc/articles/PMC7331574/ /pubmed/32616922 http://dx.doi.org/10.1038/s41598-020-67826-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Datesman, Aaron M.
Radiobiological shot noise explains Three Mile Island biodosimetry indicating nearly 1,000 mSv exposures
title Radiobiological shot noise explains Three Mile Island biodosimetry indicating nearly 1,000 mSv exposures
title_full Radiobiological shot noise explains Three Mile Island biodosimetry indicating nearly 1,000 mSv exposures
title_fullStr Radiobiological shot noise explains Three Mile Island biodosimetry indicating nearly 1,000 mSv exposures
title_full_unstemmed Radiobiological shot noise explains Three Mile Island biodosimetry indicating nearly 1,000 mSv exposures
title_short Radiobiological shot noise explains Three Mile Island biodosimetry indicating nearly 1,000 mSv exposures
title_sort radiobiological shot noise explains three mile island biodosimetry indicating nearly 1,000 msv exposures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331574/
https://www.ncbi.nlm.nih.gov/pubmed/32616922
http://dx.doi.org/10.1038/s41598-020-67826-5
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