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A Study on Methodology for Identifying Correlations between LERF and EF

机译:识别LERF与EF之间相关性方法的研究

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The correlations between Large Early Release Frequency (LERF) and Early Fatality need to be investigated for risk-informed application and regulation. In RG-1.174, there are decision-making criteria using the measures of CDF and LERF, while there are no specific criteria on LERF. Since there are both huge uncertainty and large cost need in off-site consequence calculation, a LERF assessment methodology need to be developed and its correlation factor needs to be identified for risk-informed decision-making. This regards, the robust method for estimating off-site consequence has been performed for assessing health effects caused by radioisotopes released from severe accidents of nuclear power plants. And also, MACCS2 code are used for validating source term quantitatively regarding health effects depending on release characteristics of radioisotopes during severe accidents has been performed. This study developed a method for identifying correlations between LERF and Early Fatality and validates the results of the model using 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.
机译:需要调查大型早期释放频率(LERF)和早期死亡之间的相关性以进行风险明智的应用和规定。在RG-1.174中,使用CDF和LERF的措施有决策标准,而LERF没有具体标准。由于在非现场后果计算中存在巨大的不确定性和大的成本需求,因此需要开发LERF评估方法,并且需要确定其相关因素以获得风险信息的决策。这方面,已经进行了估计场外后果的稳健方法,用于评估由核电站严重事故释放的放射性同位素引起的健康效应。而且,MACCS2代码用于根据严重事故期间放射性同位素的释放特性定量地对健康效应进行验证源期限。本研究开发了一种用于识别LERF与早期死亡之间的相关性的方法,并使用MACCS2代码验证模型的结果。本研究的结果可能有助于定义LERF并找到风险知情条例和风险信息的决策措施。

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