A STUDY ON METHODOLOGY FOR IDENTIFYING CORRELATIONS BETWEEN LERF AND EARLY FATALITY
- Authors
- Kang, Kyungmin; Jae, Moosung; Ahn, Kwang-Il
- Issue Date
- Oct-2012
- Publisher
- KOREAN NUCLEAR SOC
- Keywords
- Large Early Release Frequency; Early Fatality; off-site Consequence; Risk-informed Regulations
- Citation
- NUCLEAR ENGINEERING AND TECHNOLOGY, v.44, no.7, pp.745 - 754
- Indexed
- SCIE
SCOPUS
KCI
- Journal Title
- NUCLEAR ENGINEERING AND TECHNOLOGY
- Volume
- 44
- Number
- 7
- Start Page
- 745
- End Page
- 754
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/164582
- DOI
- 10.5516/NET.03.2011.036
- ISSN
- 1738-5733
- Abstract
- The correlations between Large Early Release Frequency (LERF) and Early Fatality need to be investigated for risk-informed application and regulation. In Regulatory Guide (RG) -1.174, while there are decision-making criteria using the measures of Core Damage Frequency (CDF) and LERF, there are no specific criteria on LERF. Since there are both huge uncertainties and large costs needed in off-site consequence calculation, a LERF assessment methodology needs to be developed, and its correlation factor needs to be identified, for risk-informed decision-making. A new method for estimating off-site consequence has been presented and performed for assessing health effects caused by radioisotopes released from severe accidents of nuclear power plants in this study. The MACCS2 code is used for validating the source term quantitatively regarding health effects, depending on the release characteristics of radioisotopes during severe accidents. This study developed a method for identifying correlations between LERF and Early Fatality and validates the results of the model using the MACCS2 code. The results of this study may contribute to defining LERF and finding a measure for risk-informed regulations and risk-informed decision-making.
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