| Title |
Establishing and Applying Disaster Risk Assessment Methodologies for Climate Change Adaptation |
| Authors |
김금지(Kim, Keum-Ji) ; 윤성환(Yoon, Seong-Hwan) |
| DOI |
https://doi.org/10.5659/JAIK.2023.39.3.161 |
| Keywords |
Climate Change; Risk Assessment; Entropy; Storm and Flood Damage; Spatial Analysis |
| Abstract |
This study aims to establish a methodology for assessing the risks of various natural disasters and the accrued damages in Korea. With
climate change and urban development, the damages caused by natural disasters have intensified and become more diversified; the government
needs to establish a useful disaster risk assessment methodology for disaster response. While machine learning, big data analysis, and expert
surveys have been used as disaster risk assessment methodologies in various fields, this study proposes an entropy analysis method to
evaluate event occurrence risks using information and probability. To validate the effectiveness of this method, a risk assessment was
conducted on eleven disaster risk factors related to climate, human life, urban, and the environment to target wind and water disasters
coupled with major disasters in Korea. As a result, the semi-basement building index showed the highest risk weighting in metropolitan,
provincial, and municipal areas, while the flood-prone area index showed the highest risk weighting in county and district areas. This study is
expected to help the government and local governments in establishing disaster response policies, and the proposed analysis method can be
used to establish standards for natural disaster risk assessment methodologies. |