Lauritzen Bent, Baklanov Alexander, Mahura Alexander, Mikkelsen Torben, Sørensen Jens H
Risø National Laboratory, 4000 Roskilde, Denmark.
J Environ Radioact. 2007;96(1-3):110-5. doi: 10.1016/j.jenvrad.2007.01.026. Epub 2007 May 7.
A simplified means of probabilistic risk assessment (PRA) for long-range atmospheric transport based on a K-diffusion model is presented. In a case study, model parameters are estimated by comparing with the results of long-range atmospheric dispersion model calculations using one-year numerical weather prediction model data. It is found that the estimated ensemble mean provides a reasonable first approximation to the total dry and wet deposition from the one-year continuous release.
提出了一种基于K扩散模型的长距离大气传输概率风险评估（PRA）的简化方法。在一个案例研究中，通过与使用一年期数值天气预报模型数据的长距离大气扩散模型计算结果进行比较来估计模型参数。结果发现，估计的集合平均值为一年连续排放的总干湿沉降提供了合理的一阶近似。
