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Article

Determining the Risk Level of Heavy Rain Damage by Region in South Korea

1
Institute of Water Resources System, Inha University, Incheon 22201, Korea
2
Department of Civil Engineering, Inha University, Incheon 22201, Korea
3
Blackland Research and Extension Center, Texas A&M AgriLife, Temple, TX 76502, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Stefano Morelli, Veronica Pazzi and Mirko Francioni
Water 2022, 14(2), 219; https://doi.org/10.3390/w14020219
Received: 6 December 2021 / Revised: 7 January 2022 / Accepted: 8 January 2022 / Published: 12 January 2022
(This article belongs to the Topic Natural Hazards and Disaster Risks Reduction)
For risk assessment, two methods, quantitative risk assessment and qualitative risk assessment, are used. In this study, we identified the regional risk level for a disaster-prevention plan for an overall area at the national level using qualitative risk assessment. To overcome the limitations of previous studies, a heavy rain damage risk index (HDRI) was proposed by clarifying the framework and using the indicator selection principle. Using historical damage data, we also carried out hierarchical cluster analysis to identify the major damage types that were not considered in previous risk-assessment studies. The result of the risk-level analysis revealed that risk levels are relatively high in some cities in South Korea where heavy rain damage occurs frequently or is severe. Five causes of damage were derived from this study—A: landslides, B: river inundation, C: poor drainage in arable areas, D: rapid water velocity, and E: inundation in urban lowlands. Finally, a prevention project was proposed considering regional risk level and damage type in this study. Our results can be used when macroscopically planning mid- to long-term disaster prevention projects. View Full-Text
Keywords: disaster prevention project; heavy-rain-damage risk index; hierarchical clustering; qualitative risk assessment disaster prevention project; heavy-rain-damage risk index; hierarchical clustering; qualitative risk assessment
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MDPI and ACS Style

Kim, J.; Kim, D.; Lee, M.; Han, H.; Kim, H.S. Determining the Risk Level of Heavy Rain Damage by Region in South Korea. Water 2022, 14, 219. https://doi.org/10.3390/w14020219

AMA Style

Kim J, Kim D, Lee M, Han H, Kim HS. Determining the Risk Level of Heavy Rain Damage by Region in South Korea. Water. 2022; 14(2):219. https://doi.org/10.3390/w14020219

Chicago/Turabian Style

Kim, Jongsung, Donghyun Kim, Myungjin Lee, Heechan Han, and Hung S. Kim. 2022. "Determining the Risk Level of Heavy Rain Damage by Region in South Korea" Water 14, no. 2: 219. https://doi.org/10.3390/w14020219

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