University of Roma Tre, Department of Mathematics and Physics, Via della Vasca Navale 84, I-00146 Roma, Italy; INFN, Section of Roma Tre, Via della Vasca Navale 84, I-00146 Roma, Italy.
J Environ Radioact. 2013 Dec;126:1-7. doi: 10.1016/j.jenvrad.2013.07.003. Epub 2013 Aug 3.
The verification of the Comprehensive Nuclear-Test Ban Treaty (CTBT) relies amongst other things on the continuous and worldwide monitoring of radioxenon. The characterization of the existing and legitimate background, which is produced mainly by nuclear power plants and isotope production facilities, is of high interest to improve the capabilities of the monitoring network. However, the emissions from legitimate sources can usually only be estimated. For this paper historic source terms of (133)Xe emissions from the isotope production facility at ANSTO, Sydney, Australia, have been made available in a daily resolution. Based on these high resolution data, different source term sets with weekly, monthly and yearly time resolution have been compiled. These different sets are then applied together with atmospheric transport modelling (ATM) to predict the concentration time series at two radioxenon monitoring stations. The results are compared with each other in order to examine the improvement of the prediction capability depending on the used time resolution of the most dominant source term in the region.
全面禁止核试验条约（CTBT）的核查除其他外，依赖于对放射性氙的持续全球监测。现有合法背景的特征，主要由核电站和同位素生产设施产生，对于提高监测网络的能力具有重要意义。然而，合法来源的排放通常只能进行估计。本文利用澳大利亚新南威尔士州悉尼的 ANSTO 同位素生产设施的历史排放源项（133）Xe，以每日分辨率提供。基于这些高分辨率数据，已编制了具有每周、每月和每年时间分辨率的不同源项集。然后，将这些不同的数据集与大气输送建模（ATM）一起应用，以预测两个放射性氙监测站的浓度时间序列。将结果进行比较，以检查根据该地区最主要源项的使用时间分辨率，预测能力的提高情况。
