Recently, there has been a growing interest in extreme and intense rainfall events due to climate change, which leads to increased urban damage from flooding, landslides, and more. Rainfall exceeding design frequencies is a primary cause of natural disasters that significantly affect human life, such as floods and landslides. As the frequency of extreme rainfall events increases due to climate change, this study collected rainfall data from meteorological stations to analyze flood risks in Kangwon province, and identified periods rich and poor in floods using the GEV distribution and time series analysis, which are common methods for analyzing extreme events. In addition, using the actual frequency and design frequency, the flood load that can quantify the risk of flooding was calculated in this paper. As a result of the analysis, cases in which the flood load exceeded 1 occurred in all target areas, and the area with the highest flood load was analyzed as a factor of 3.83. In order to prevent floods caused by extremely frequent heavy rains due to climate change, it is necessary to increase the design frequency of repair facilities.
Choi et al. (Mon,) studied this question.