Sweeck Lieve, Kanyár Bela, Krajewski Pawel, Kryshev Alexander, Lietava Peter, Nenyei Arpad, Sazykina Tatiana, Yu Charley, Zeevaert Theo
SCK*CEN, Boeretang 200, 2400 Mol, Belgium.
J Environ Radioact. 2005;84(2):245-58. doi: 10.1016/j.jenvrad.2003.02.002. Epub 2005 Jun 22.
Environmental assessment models are used as decision-aiding tools in the selection of remediation options for radioactively contaminated sites. In most cases, the effectiveness of the remedial actions in terms of dose savings cannot be demonstrated directly, but can be established with the help of environmental assessment models, through the assessment of future radiological impacts. It should be emphasized that, given the complexity of the processes involved and our current understanding of how they operate, these models are simplified descriptions of the behaviour of radionuclides in the environment and therefore imperfect. One way of testing and improving the reliability of the models is to compare their predictions with real data and/or the predictions of other models. Within the framework of the Remediation Assessment Working Group (RAWG) of the BIOMASS (BIOsphere Modelling and ASSessment) programme coordinated by IAEA, two scenarios were constructed and applied to test the reliability of environmental assessment models when remedial actions are involved. As a test site, an area of approximately 100 ha contaminated by the discharges of an old radium extraction plant in Olen (Belgium) has been considered. In the first scenario, a real situation was evaluated and model predictions were compared with measured data. In the second scenario the model predictions for specific hypothetical but realistic situations were compared. Most of the biosphere models were not developed to assess the performance of remedial actions and had to be modified for this purpose. It was demonstrated clearly that the modeller's experience and familiarity with the mathematical model, the site and with the scenario play a very important role in the outcome of the model calculations. More model testing studies, preferably for real situations, are needed in order to improve the models and modelling methods and to expand the areas in which the models are applicable.
环境评估模型被用作放射性污染场地修复方案选择中的决策辅助工具。在大多数情况下,补救行动在剂量节省方面的有效性无法直接证明,但可以借助环境评估模型,通过评估未来的辐射影响来确定。应该强调的是,鉴于所涉及过程的复杂性以及我们目前对其运行方式的理解,这些模型是对环境中放射性核素行为的简化描述,因此并不完美。测试和提高模型可靠性的一种方法是将其预测结果与实际数据和/或其他模型的预测结果进行比较。在国际原子能机构协调的生物质(生物圈建模与评估)计划的修复评估工作组(RAWG)框架内,构建并应用了两种情景来测试涉及补救行动时环境评估模型的可靠性。作为测试场地,考虑了比利时奥伦一个约100公顷被一家旧镭提取厂排放物污染的区域。在第一种情景中,评估了实际情况并将模型预测结果与实测数据进行了比较。在第二种情景中,比较了针对特定假设但现实情况的模型预测结果。大多数生物圈模型并非为评估补救行动的性能而开发,因此必须为此进行修改。结果清楚地表明,建模者对数学模型、场地和情景的经验及熟悉程度在模型计算结果中起着非常重要的作用。为了改进模型和建模方法并扩大模型的适用范围,需要进行更多的模型测试研究,最好针对实际情况。