Transfer of ICRP models of radiation risk to the population of the Russian Federation

Автор: Gorski A.I., Chekin S.Yu., Maksioutov M.A., Menyajlo A.N., Korelo A.M., Tumanov K.A., Zelenskaya N.S., Lashkova O.E., Ivanov V.K.

Журнал: Радиация и риск (Бюллетень Национального радиационно-эпидемиологического регистра) @radiation-and-risk

Рубрика: Научные статьи

Статья в выпуске: 4 т.28, 2019 года.

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According to the Russian radiation safety standards, the maximum value of the individual lifetime radiation risk of 5×10-5 is used to justify the limits of radiation doses to the population during the year. At the same time, the lifetime radiation risk of cancer for the population is proportional to the dose with a nominal radiation risk factor of 5.5×10-2 per 1 Sv. Currently, the assessment of lifetime attributable risks is based on models of radiation risk intensities recommended by the International Commission on Radiological Protection (ICRP). The models contain parameters that allow estimating sex- and age-specific risk of exposed individuals, as well as background cancer incidence and cancer mortality rates specific to exposed people. In aggregate, lifetime radiation risk coefficients for the population of the Russian Federation are 1.5-1.6 times lower than the ICRP risk coefficients for all cancer sites. Cancer radiation risks of the Russian population are lower than the risks of the standard ICRP and WHO populations got the same radiation dose as the Russian people. In reality, it is the result of increased mortality caused by non-radiation-induced cancers. Therefore, radiation dose constraints and dose limits recommended by ICRP for radiation protection can be considered as acceptable and rather conservative for the population of the Russian Federation.

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Radiation risk intensity, excess radiation risk, survival function, lifetime radiation risk, models of radiation risk, publication 103 icrp, nominal risk coefficient, cancer localization, transfer risk models, population of the russian federation

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Короткий адрес: https://sciup.org/170171443

IDR: 170171443   |   DOI: 10.21870/0131-3878-2019-28-4-5-15

Статья научная