Abstract
The risk assessment techniques currently used in Korea have proven to have limitations as they provide flood risk assessments only. Although these assessment techniques comprehensively evaluate various factors such as wind and flood damage and social disruption, the administrative task-handling capacity is limited at the local government level. In this study, using electronic maps (which include building and road name addresses) and number of buildings in 31 cities and counties in Gyeonggi-do, only the statistical values located within the impact range of flood damage were extracted and evaluated for flood risk. The differences in statistical values resulting from data types were supplemented by the use of correction factors in the grid data. As a result of calculating the detailed index of each local government in Gyeonggi Province using the corrected grid data, the index was calculated in this order: Hwaseong, Yongin and Pyeongtaek. However, when the flood risk map and the number of overlapping buildings were used, the index was calculated in this revised order: Goyang City, Gwangmyeong City, and Gimpo City. This provided results that are more accurate than that of the existing methodologies.
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