PSAM 16 - Paper Overview

PSAM 16 Conference Paper Overview

Welcome to the PSAM 16 Conference paper and speaker overview page.

Lead Author: Beom-Jin Kim Co-author(s): Minkyu Kim, minkyu@kaeri.re.kr Daegi Hahm, dhahm@kaeri.re.kr

Benchmark on External Events Hazard Frequency and Magnitude Statistical Modelling in KAERI
This benchmark study aims to apply statistical modeling for frequency and magnitude estimation based on external event hazard assessment data. Based on the results of this study, it is believed that an approach to the quantification of external event initiating events (IEs) can be formulated and evaluated through the application of an effective statistical model. This study's analysis was based on two cases that considered benchmarks provided by the Organization for Economic Co-operation and Development (OECD). Each case was given a magnitude according to the return period. An appropriate statistical model was applied through regression analysis for each case based on this data. Based on the results, the magnitudes of 500, 5,000, 50,000, and 500,000 years were predicted and presented. The result of this study, statistical analysis was applied to the estimation of two cases presented by the OECD. In any statistical analysis, it is important to understand the characteristics of the data set. For the given problems here, the range of the return period was 10–10,000 years, while that of the magnitude was only 0.4–5.0 meters. Therefore, the coefficient of the synthetic model had a significant influence on the analysis results. This study demonstrates that employing the full extent of the significant figures is important to handle the different ranges of data values. In the future, it is expected that data-based statistical values can be better estimated through various verified statistical models.

Benchmark on External Events Hazard Frequency and Magnitude Statistical Modelling in KAERI

This benchmark study aims to apply statistical modeling for frequency and magnitude estimation based on external event hazard assessment data. Based on the results of this study, it is believed that an approach to the quantification of external event initiating events (IEs) can be formulated and evaluated through the application of an effective statistical model. This study's analysis was based on two cases that considered benchmarks provided by the Organization for Economic Co-operation and Development (OECD). Each case was given a magnitude according to the return period. An appropriate statistical model was applied through regression analysis for each case based on this data. Based on the results, the magnitudes of 500, 5,000, 50,000, and 500,000 years were predicted and presented. The result of this study, statistical analysis was applied to the estimation of two cases presented by the OECD. In any statistical analysis, it is important to understand the characteristics of the data set. For the given problems here, the range of the return period was 10–10,000 years, while that of the magnitude was only 0.4–5.0 meters. Therefore, the coefficient of the synthetic model had a significant influence on the analysis results. This study demonstrates that employing the full extent of the significant figures is important to handle the different ranges of data values. In the future, it is expected that data-based statistical values can be better estimated through various verified statistical models.

Paper BE120 Preview

Author and Presentation Info

Lead Author Name: Beom-Jin Kim (beomjin88@kaeri.re.kr)

Bio:

Country: South Korea
Company: Korea Atomic Energy Research Institute (KAERI)
Job Title: Ph.D, Postdoctoral Researcher

PSAM 16 Conference Paper Overview

Welcome to the PSAM 16 Conference paper and speaker overview page.

Paper BE120 Preview

Author and Presentation Info

Download paper BE120.