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Uncertainty analysis in internal dose calculations for cerium considering the uncertainties of biokinetic parameters and S values.
Radiation and Environmental Biophysics ( IF 1.7 ) Pub Date : 2020-09-20 , DOI: 10.1007/s00411-020-00872-9
Vladimir Spielmann 1 , Wei Bo Li 1 , Maria Zankl 1 , Juan Camilo Ocampo Ramos 2 , Nina Petoussi-Henss 1
Affiliation  

Radioactive cerium and other lanthanides can be transported through the aquatic system into foodstuffs and then be incorporated by humans. Information on the uncertainty of reported dose coefficients for exposed members of the public is then needed for risk analysis. In this study, uncertainties of dose coefficients due to the ingestion of the radionuclides 141Ce and 144Ce were estimated. According to the schema of internal dose calculation, a general statistical method based on the propagation of uncertainty was developed. The method takes into account the uncertainties contributed by the biokinetic models and by the so-called S values. These S-values were derived by using Monte Carlo radiation transport simulations with five adult non-reference voxel computational phantoms that have been developed at Helmholtz Zentrum München, Germany. Random and Latin hypercube sampling techniques were applied to sample parameters of biokinetic models and S values. The uncertainty factors, expressed as the square root of the 97.5th and 2.5th percentile ratios, for organ equivalent dose coefficients of 141Ce were found to be in the range of 1.2–5.1 and for 144Ce in the range of 1.2–7.4. The uncertainty factor of the detriment-weighted dose coefficient for 141Ce is 2.5 and for 144Ce 3.9. It is concluded that a general statistical method for calculating the uncertainty of dose coefficients was developed and applied to the lanthanide cerium. The dose uncertainties obtained provide improved dose coefficients for radiation risk analysis of humans. Furthermore, these uncertainties can be used to identify those parameters most important in internal dose calculations by applying sensitivity analyses.



中文翻译:

考虑生物动力学参数和 S 值的不确定性,对铈的内部剂量计算进行不确定性分析。

放射性铈和其他镧系元素可以通过水生系统转移到食品中,然后被人类摄入。然后需要有关暴露的公众成员报告的剂量系数的不确定性的信息来进行风险分析。在这项研究中,估计了由于摄入放射性核素141 Ce 和144 Ce 而导致的剂量系数的不确定性。根据内剂量计算的模式,提出了一种基于不确定性传播的通用统计方法。该方法考虑了生物动力学模型和所谓的S值带来的不确定性。这些 S 值是通过使用蒙特卡罗辐射传输模拟与德国亥姆霍兹中心慕尼黑开发的五个成人非参考体素计算模型得出的。将随机和拉丁超立方采样技术应用于生物动力学模型和S值的采样参数。141 Ce 器官当量剂量系数的不确定性因子(表示为第 97.5 个和 2.5 个百分位比的平方根)在 1.2-5.1 范围内,144 Ce 的不确定性因子在 1.2-7.4 范围内。141 Ce的有害加权剂量系数的不确定性因子为 2.5, 144 Ce 的有害加权剂量系数为 3.9。结论是开发了一种计算剂量系数不确定度的通用统计方法并将其应用于稀土铈。获得的剂量不确定性为人体辐射风险分析提供了改进的剂量系数。此外,通过应用敏感性分析,这些不确定性可用于识别内部剂量计算中最重要的参数。

更新日期:2020-09-20
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