Le Dizès S, Aulagnier C, Maro D, Rozet M, Vermorel F, Hébert D, Voiseux C, Solier L, Godinot C, Fievet B, Laguionie P, Connan O, Cazimajou O, Morillon M
Institut de Radioprotection et de Sûreté Nucléaire (IRSN), PRP-ENV/SERIS/LRTE, Laboratoire de Recherche sur les Transferts de radionucléides dans l'Environnement, CEN Cadarache, 13115 Saint-Paul-Lez-Durance, France.
Electricité de France, DIPDE, 154 Avenue Thiers, 69458 Lyon, Cedex 06 France.
J Environ Radioact. 2017 May;171:83-92. doi: 10.1016/j.jenvrad.2016.11.028. Epub 2017 Feb 12.
In this paper, a dynamic compartment model with a high temporal resolution has been investigated to describe tritium transfer in grassland ecosystems exposed to atmospheric H releases from nuclear facilities under normal operating or accidental conditions. TOCATTA-χ model belongs to the larger framework of the SYMBIOSE modelling and simulation platform that aims to assess the fate and transport of a wide range of radionuclides in various environmental systems. In this context, the conceptual and mathematical models of TOCATTA-χ have been designed to be relatively simple, minimizing the number of compartments and input parameters required. In the same time, the model achieves a good compromise between easy-to-use (as it is to be used in an operational mode), explicative power and predictive accuracy in various experimental conditions. In the framework of the VATO project, the model has been tested against two-year-long in situ measurements of H activity concentration monitored by IRSN in air, groundwater and grass, together with meteorological parameters, on a grass field plot located 2 km downwind of the AREVA NC La Hague nuclear reprocessing plant, as was done in the past for the evaluation of transfer of C in grass. By considering fast exchanges at the vegetation-air canopy interface, the model correctly reproduces the observed variability in TFWT activity concentration in grass, which evolves in accordance with spikes in atmospheric HTO activity concentration over the previous 24 h. The average OBT activity concentration in grass is also correctly reproduced. However, the model has to be improved in order to reproduce punctual high concentration of OBT activity, as observed in December 2013. The introduction of another compartment with a fast kinetic (like TFWT) - although outside the model scope - improves the predictions by increasing the correlation coefficient from 0.29 up to 0.56 when it includes this particular point. Further experimental investigation will be undertaken by IRSN and EDF next year to better evaluate (and properly model) other aspects of tritium transfer where knowledge gaps have been identified in both experimental and modelling areas.
本文研究了一种具有高时间分辨率的动态隔室模型,以描述在正常运行或事故条件下,核设施向大气释放氢时,草原生态系统中氚的转移情况。TOCATTA-χ模型属于SYMBIOSE建模与模拟平台的更大框架,该平台旨在评估各种环境系统中多种放射性核素的归宿和迁移。在此背景下,TOCATTA-χ的概念模型和数学模型设计得相对简单,将所需的隔室数量和输入参数减至最少。同时,该模型在易用性(因为它将以运行模式使用)、解释力和在各种实验条件下的预测准确性之间取得了良好的平衡。在VATO项目框架内,该模型已根据法国核安全与辐射防护研究院(IRSN)在阿海珐集团(AREVA NC)拉阿格核后处理厂下风2公里处的一块草地上进行的为期两年的原位测量进行了测试,测量内容包括空气中、地下水中和草中的氢活度浓度以及气象参数,就像过去评估草中碳的转移时所做的那样。通过考虑植被-空气冠层界面的快速交换,该模型正确地再现了草中TFWT活度浓度的观测变化,其变化与前24小时大气HTO活度浓度的峰值一致。草中平均OBT活度浓度也被正确再现。然而,为了再现2013年12月观测到的OBT活度的瞬时高浓度,该模型必须改进。引入另一个具有快速动力学的隔室(如TFWT)——尽管超出了模型范围——当包含这个特定点时,通过将相关系数从0.29提高到0.56改善了预测。法国核安全与辐射防护研究院和法国电力公司(EDF)明年将进行进一步的实验研究,以更好地评估(并正确模拟)氚转移的其他方面,在实验和建模领域都已发现了这些方面的知识空白。