Optimization of Routine Monitoring of Workers Exposed to Plutonium Aerosols.

Annals of Occupational Hygiene Pub Date : 2016-10-01 Epub Date: 2016-08-02 DOI:10.1093/annhyg/mew046
Estelle Davesne, Benoit Quesne, Antoine De Vita, Eric Chojnacki, Eric Blanchardon, Didier Franck
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引用次数: 1

Abstract

In case of incidental confinement failure, mixed oxide (MOX) fuel preparation may expose workers to plutonium aerosols. Due to its potential toxicity, occupational exposure to plutonium compounds should be kept as low as reasonably achievable. To ensure the absence of significant intake of radionuclides, workers at risk of internal contamination are monitored by periodic bioassay planned in a routine monitoring programme. From bioassay results, internal dose may be estimated. However, accurate dose calculation relies on known exposure conditions, which are rarely available when the exposure is demonstrated by routine monitoring only. Therefore, internal dose calculation is subject to uncertainty from unknown exposure conditions and from activity measurement variability. The present study calculates the minimum detectable dose (MDD) for a routine monitoring programme by considering all plausible conditions of exposure and measurement uncertainty. The MDD evaluates the monitoring quality and can be used for optimization. Here, MDDs were calculated for the monitoring of workers preparing MOX fuel. Uncertain parameters were modelled by probability distributions defined according to information provided by experts of routine monitoring, of workplace radiological protection and of bioassay analysis. Results show that the current monitoring is well adapted to potential exposure. A sensitivity study of MDD highlights high dependence on exposure condition modelling. Integrating all expert knowledge is therefore crucial to obtain reliable MDD estimates, stressing the value of a holistic approach to worker monitoring.

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钚气溶胶暴露工人日常监测的优化。
在意外约束失效的情况下,混合氧化物(MOX)燃料制备可能使工人暴露在钚气溶胶中。由于其潜在毒性,职业性接触钚化合物应尽可能保持在合理可行的低水平。为确保没有大量放射性核素的摄入,在常规监测方案中计划了定期生物测定,对有内部污染危险的工作人员进行监测。根据生物测定结果,可以估计内剂量。然而,准确的剂量计算依赖于已知的照射条件,而仅通过常规监测证实照射时,这些条件很少可用。因此,内剂量计算受到未知照射条件和活度测量变异性的不确定性的影响。本研究通过考虑所有可能的暴露条件和测量不确定度来计算常规监测方案的最小可检测剂量。MDD评估监控质量,并可用于优化。这里计算了mdd,用于监测准备MOX燃料的工人。根据常规监测、工作场所放射防护和生物测定分析专家提供的信息,用概率分布对不确定参数进行建模。结果表明,目前的监测能够很好地适应潜在暴露。一项MDD的敏感性研究强调了对暴露条件建模的高度依赖。因此,集成所有的专家知识对于获得可靠的MDD估计是至关重要的,强调了对工人监控的整体方法的价值。
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