Kłos Richard, Guerfi Reda, Dverstorp Björn, Xu Shulan
Aleksandria Sciences Ltd, 37 Coverdale Road, Sheffield, S7 2DD, United Kingdom.
STUK, Jokiniemenkuja 1, FI-01370, Vantaa, Finland.
J Environ Radioact. 2023 Jan;256:107050. doi: 10.1016/j.jenvrad.2022.107050. Epub 2022 Nov 8.
Regulations concerning potential future health impacts of the final disposal of radioactive wastes in geological disposal facilities are written in terms of annual dose to individuals who are representative of small groups living in the landscape in the vicinity of the repository site. As disposal programmes in Sweden and Finland have progressed towards licensing and construction, so too has detail describing the state and evolution of surface biosphere and the landscape around the proposed disposal sites increased. Simple and generic biosphere dose assessment models in early iterations have grown in complexity with increasing site-specific detail that aims to capture the radiologically significant features of the landscape into which future releases of radionuclides might credibly occur. Current dose assessment models used in support of license applications for disposal programmes in Sweden and Finland are highly complex and their application consequently lacks transparency. An alternative simpler approach to characterising landscape objects for dose assessment models would be beneficial in that it would offer an additional line of reasoning and would add clarity, thereby supporting the decision-making process of the regulatory authorities. In the context of coastal Fennoscandia, landscape change is relatively rapid and dramatic with post-glacial landrise transforming areas of the coastal seabed into terrestrial ecosystems over a period of a few thousand years, global sea level rise notwithstanding. The locations of the geosphere-biosphere interfaces for deep geologic disposal can be estimated with some precision but the nature of the receiving ecosystems at the time of the release is less certain. The approach described here provides a statistical quantification of key morphological characteristics of areas in the landscape where doses could arise, so as to better express uncertainties in dose modelling. The proposed method assumes that the variation in the morphology of potential release locations can be described by the variation in landscape objects seen in the landscape on a wider scale, providing a statistical description of the possible landscape objects, so allowing a more comprehensive range of potential future evolutions to be addressed. Our understanding of the evolution of the landscape, based on the kinds of terrain and ecosystem development models used by POSIVA in Finland and SKB in Sweden, suggests that objects identified in present-day maps can be used as analogues for a statistical characterisation of objects in the future landscape; objects identified in the observed topography and bathymetry can therefore serve as the basis for the statistical description of landscape dose objects over the period during which doses are likely to arise. Using digital elevation models around a disposal site in Finland, we show that the statistical descriptions of landscape dose objects at three times over a period of 10 kyear of the evolved landscape are sufficiently similar to establish the suitability of the approach. The aim of this statistical analysis is to supplement current methods for defining radiological assessment models so as to provide additional numerical support to both the simpler and more complex methods employed by implementors and regulators. The method has been developed in the context of the Swedish and Finnish regulatory review process and is referred to in the IAEA's revised BIOMASS methodology. We briefly address how the method might be applied in other landscape contexts.
关于放射性废物在地质处置设施中最终处置对未来潜在健康影响的法规,是根据对居住在处置库场址附近区域的小群体具有代表性的个人的年剂量来制定的。随着瑞典和芬兰的处置计划朝着许可和建设阶段推进,有关拟议处置场址周围地表生物圈和景观的状态及演变的详细描述也越来越多。早期版本中简单通用的生物圈剂量评估模型,随着针对特定场址的详细信息不断增加而变得更加复杂,这些详细信息旨在捕捉未来可能可信地发生放射性核素释放的景观中具有放射学意义的特征。目前瑞典和芬兰用于支持处置计划许可申请的剂量评估模型高度复杂,其应用因此缺乏透明度。一种用于剂量评估模型的表征景观对象的更简单替代方法将是有益的,因为它将提供额外的推理思路并增加清晰度,从而支持监管当局的决策过程。在芬兰斯堪的纳维亚半岛沿海地区,景观变化相对迅速且显著,尽管全球海平面上升,但后冰川期的陆地上升在几千年的时间里将沿海海底区域转变为陆地生态系统。深部地质处置的地圈 - 生物圈界面位置可以有一定精度地估计,但释放时接收生态系统的性质则不太确定。这里描述的方法对可能产生剂量的景观区域的关键形态特征进行了统计量化,以便更好地表达剂量建模中的不确定性。所提出的方法假定潜在释放位置的形态变化可以通过更广泛尺度上景观中可见的景观对象的变化来描述,从而提供对可能的景观对象的统计描述,这样就能处理更广泛的潜在未来演变情况。基于芬兰的 Posiva 和瑞典的 SKB 使用的地形和生态系统发展模型,我们对景观演变的理解表明,现今地图中识别出的对象可作为未来景观中对象统计表征的类似物;因此,在观测到的地形和水深测量中识别出的对象可作为在可能产生剂量的时间段内景观剂量对象统计描述的基础。利用芬兰一个处置场址周围的数字高程模型,我们表明在 10 千年演化景观期间三个时间点的景观剂量对象的统计描述足够相似,从而确定了该方法的适用性。这种统计分析的目的是补充当前定义放射学评估模型的方法,以便为实施者和监管者采用的更简单和更复杂的方法提供额外的数值支持。该方法是在瑞典和芬兰的监管审查过程背景下开发的,并在国际原子能机构修订的 BIOMASS 方法中被提及。我们简要讨论了该方法在其他景观背景下的应用方式。