Domestic interest in chemical accidents surged after the hydrofluoric acid leak incident in Gumi. Quantitative Risk Assessment (QRA), which derives quantitative results for the risks associated with chemical processes, storage, and transportation, is being utilized to prevent chemical accidents. The accuracy of accident frequency analysis in QRA varies depending on the quality of the underlying data, making it crucial to secure high-quality data. Although there are statistical data collected by the Chemical Safety Authority in Korea, they are not direct frequency data, making them difficult to use directly for accident frequency analysis. Therefore, this study researched a modification factor that could be applied to foreign frequency data to derive domestic frequency data. Initially, data for deriving the modification factor were selected, and the possibility of deriving a modification factor was explored through a comparison of population, chemical emissions, and distribution volumes across countries. Additionally, considering the significant proportion of the electronics and electrical industries in Korea, factors specific to these industries and indoor environments were also calculated.
