EGU25-5380, updated on 18 Mar 2025
https://doi.org/10.5194/egusphere-egu25-5380
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Monday, 28 Apr, 16:15–18:00 (CEST), Display time Monday, 28 Apr, 14:00–18:00
 
Hall X3, X3.5
Development of Integrated Coastal Inundation Prediction Maps Considering Multiple Factors and Climate Change Impacts
Hwa-Young Lee1, Kwang-Young Jeong2, Wan-Hee Cho3, Jong-Jib Park4, Gwang-Ho Seo5, and Patrick Hogan6
Hwa-Young Lee et al.
  • 1Korea Hydrographic and Oceanographic Agency, Busan, Republic of Korea (hylee81@korea.kr)
  • 2Korea Hydrographic and Oceanographic Agency, Busan, Republic of Korea(kwangyoung@korea.kr)
  • 3Marine Information Technology Corporation, Seoul, Republic of Korea(peacewings@mitkorea.com)
  • 4GeoSystem Research Corporation, Gunpo, Republic of Korea(jjpark@geosr.com)
  • 5Korea Hydrographic and Oceanographic Agency, Busan, Republic of Korea(seogh777@korea.kr)
  • 6National Oceanic and Atmospheric Administration, MS, USA(patrick.hogan@noaa.gov)

Coastal flooding is caused by a complex interplay of various factors, including storm surges, wave overtopping, river flooding due to heavy rainfall, and inland water inundation. To predict and prepare for potential coastal flooding, coastal inundation predicton maps estimating flood depth and area under various hypothetical scenarios have been developed and utilized. However, most existing coastal inundation predicton maps have limitations in comprehensively considering the diverse factors contributing to coastal flooding. This study aims to overcome these limitations by incorporating multiple flood-inducing factors in coastal areas. Specifically, numerical modeling using ADCIRC and empirical formulas from EurOtop 2018 were applied to predict flooding caused by storm surges and wave overtopping. Additionally, 660 to 735 hypothetical typhoon scenarios were developed and applied for different coastal regions. To account for the impacts of future climate change, sea-level rise projections based on the SSP 5-8.5 climate scenario for the year 2100 were also included. The resulting coastal inundation predicton maps, which integrate multiple factors, were developed for four return periods: 50, 100, 150, and 200 years. These maps can serve as essential tools for developing disaster prevention policies and assessing coastal flood risks, contributing to minimizing flood damage in coastal regions.

How to cite: Lee, H.-Y., Jeong, K.-Y., Cho, W.-H., Park, J.-J., Seo, G.-H., and Hogan, P.: Development of Integrated Coastal Inundation Prediction Maps Considering Multiple Factors and Climate Change Impacts, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-5380, https://doi.org/10.5194/egusphere-egu25-5380, 2025.