This study aims at analysing the performance of the European Radiological Data Exchange Platform (EURDEP) at identifying, delineating, and tracking different radioactivity clouds moving across a territory. To this purpose, the atmospheric dispersion of 21 hypothetical STs, calculated by the Modular Accident Analysis Program (MAAP) code, has been simulated under the same meteorological scenario by the JAVA-based RODOS decision support system (JRODOS). EURDEP's performance is evaluated using spatial and temporal parameters. The present analysis shows a large impact of the total amount of activity and the timing of the release peak on EURDEP's performance. Monitoring stations are able to detect quite rapidly the release (first alarm), and presents more variation in the time needed to detect the peak, and to delineate and track the plume. A two-dimensional analysis is suggested to illustrate strengths and weaknesses of EURDEP to face different types of STs. These results highlight the need to link the understanding of ST characteristics with meteorological conditions to limit the environmental and health effects associated with radioactive emissions into the atmosphere. The present study aims at presenting a methodology to analyse the performance of EURDEP in other territories.

本研究旨在分析欧洲放射学数据交换平台 (EURDEP) 在识别、描绘和跟踪跨越领土的不同放射性云的性能。为此，基于 JAVA 的 RODOS 决策支持系统 (JRODOS) 在相同气象情景下模拟了由模块化事故分析程序 (MAAP) 代码计算的 21 个假设 ST 的大气扩散。EURDEP 的性能使用空间和时间参数进行评估。目前的分析表明，活动总量和发布高峰的时间对 EURDEP 的表现有很大影响。监测站能够非常迅速地检测到释放（第一次警报），并且在检测峰值以及描绘和跟踪羽流所需的时间上呈现出更多变化。建议采用二维分析来说明 EURDEP 在面对不同类型的 ST 时的优势和劣势。这些结果强调需要将 ST 特征的理解与气象条件联系起来，以限制与放射性排放到大气中相关的环境和健康影响。本研究旨在提出一种方法来分析 EURDEP 在其他地区的表现。