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通过整合不确定性来优化内部污染监测程序。

Optimisation of internal contamination monitoring programme by integration of uncertainties.

作者信息

Davesne E, Casanova P, Chojnacki E, Paquet F, Blanchardon E

机构信息

Internal Dosimetry Department, Institute for Radiological Protection and Nuclear Safety, IRSN/DRPH/SDI, BP 17, F-92262 Fontenay-aux-Roses Cedex, France.

出版信息

Radiat Prot Dosimetry. 2011 Mar;144(1-4):361-6. doi: 10.1093/rpd/ncq315. Epub 2010 Oct 30.

DOI:10.1093/rpd/ncq315
PMID:21037264
Abstract

Potential internal contamination of workers is monitored by periodic bioassay measurements interpreted in terms of intake and committed effective dose by the use of biokinetic and dosimetric models. After a prospective evaluation of exposure at a workplace, a suitable monitoring programme can be defined by choosing adequate measurement techniques and frequency. In this study, the sensitivity of a programme is evaluated by the minimum intake and dose, which may be detected with a given level of confidence by taking into account uncertainties on exposure conditions and measurements. This is made for programme optimisation, which is performed by comparing the sensitivities of different alternative programmes. These methods were applied at the AREVA NC reprocessing plant and support the current monitoring programme as the best compromise between the cost of the measurements and the sensitivity of the programme.

摘要

通过定期生物测定测量来监测工作人员可能受到的体内污染,这些测量结果通过生物动力学和剂量学模型换算为摄入量和待积有效剂量。在对工作场所的暴露情况进行前瞻性评估之后,可以通过选择适当的测量技术和频率来确定合适的监测方案。在本研究中,通过考虑暴露条件和测量的不确定性,以在给定置信水平下可检测到的最小摄入量和剂量来评估方案的灵敏度。这样做是为了优化方案,即通过比较不同替代方案的灵敏度来进行优化。这些方法应用于阿海珐核能公司后处理厂,并支持当前的监测方案,因为它是测量成本与方案灵敏度之间的最佳折衷方案。

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