Speaker
Description
Probabilistic Safety Assessment (PSA) Level 3 assesses the risk for public that can be caused by the spectrum of possible accident scenarios involving any nuclear installation. Level 3 PSA estimates the frequencies of off-site consequences for public health and environment, including economic consequences attributable to the set of radiological release categories and corresponding source terms determined in the PSA Level 2 analysis. Obtaining the above values is based on using appropriate meteorological data basing on existing knowledge and assessment of the effects of a potential release. These methods that are now widely used should be improved by adopting the latest computational techniques and the lessons learned from the accident in Fukushima Daiichi. This publication proposes an advanced probabilistic model for sampling weather conditions basing on the estimated multidimensional probability distribution, which is obtained from long-term measurement data. The JRODOS system was used to calculate the transport of radionuclides in the atmosphere and the dose values. Thanks to using a more robust model of generating meteorological data, PSA L3 results become more transparent and comprehensive, but also easier to identify different negative scenarios and their effects.
