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Modeling variability and uncertainty associated with inhaled weapons-grade PuO2.

机译:对与吸入武器级PuO2相关的变异性和不确定性进行建模。

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The work presented relates to developing a stochastic version of the ICRP 66 respiratory tract deposition model and applying the stochastic model to characterize the variability/uncertainty associated with inhaled PuO2 for a hypothetical population of nuclear workers engaged in light work-related exercise. The parameter uncertainty/variability distributions used are essentially the same as the FORTRAN-based stochastic deposition model of Bolch et al. known as LUDUC (LUng Dose Uncertainty Code). Based on Crystal Ball software, this stochastic deposition model includes particle polydispersity, which Bolch et al. did not discuss. This paper first compares model-simulated regional deposition probability distributions to deterministic results based on LUDEP (LUng Dose Evaluation Program) software, which implements the ICRP 66 deterministic deposition model. For these comparisons, a particle density of 3 g cm(-3) (for hypothetical radioactive particles) was used. The range of possible depositions generated by LUDUC and the Crystal Ball program results revealed LUDEP's limitations. Even though LUDEP tends to use parameters that represent average parameter values for adult males, it overestimates deposition in the lower regions of the lung for most of the population. The Crystal Ball program was then used to generate radioactivity intake distributions for single and multiple PuO2 particle intakes by a hypothetical population of nuclear workers for the stochastic intake (STI) paradigm. These distributions of radioactivity intake are evaluated for the five primary regions of the respiratory tract as defined in the ICRP Publication 66. The results reveal that when a particle has been deposited, the radioactivity is likely to be low if it is in the lower regions (< 10 Bq for the bb and AI regions), but it may be quite large in the upper regions (as much as 600 Bq for the ET1, and ET2 regions), and the distributions for radioactivity become less and less skewed to the right, as particles penetrate deeper within the respiratory tract.
机译:提出的工作涉及开发ICRP 66呼吸道沉积模型的随机版本,并应用该随机模型来表征与从事轻工作相关的假设核工作人员的吸入PuO2相关的变异性/不确定性。使用的参数不确定性/变异性分布与Bolch等人基于FORTRAN的随机沉积模型基本相同。称为LUDUC(LUng剂量不确定度代码)。基于Crystal Ball软件,这种随机沉积模型包括粒子的多分散性,Bolch等人(2002年)提出。没有讨论。本文首先基于LUDEP(LUng剂量评估程序)软件将模型模拟的区域沉积概率分布与确定性结果进行比较,该软件实现了ICRP 66确定性沉积模型。为了进行这些比较,使用了3 g cm(-3)的粒子密度(对于假定的放射性粒子)。 LUDUC和Crystal Ball程序结果产生的可能沉积范围揭示了LUDEP的局限性。尽管LUDEP倾向于使用代表成年男性平均参数值的参数,但它高估了大多数人群在肺下部区域的沉积。然后,Crystal Ball程序用于假设的核工人群体中随机摄入(STI)范式的单个和多个PuO2颗粒摄入的放射性摄入分布。根据ICRP出版物66中的定义,对呼吸道的五个主要区域评估了这些放射性摄入量的分布。结果表明,沉积颗粒后,如果放射性颗粒处于较低区域,放射性可能很低( bb和AI区域<10 Bq),但在上部区域可能很大(ET1和ET2区域高达600 Bq),放射性分布向右倾斜的程度越来越小,因为颗粒会深入呼吸道。

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