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Assessment of Potential Storm Surge Hazards Using the Probabilistic Synthetic Typhoon Ensemble: The Western Coast Nuclear Power Plant Site in Korea

  • Hyeon-Jeong Kim (Environmental Safety Technology Research Division, Korea Atomic Energy Research Institute) ;
  • Taegeon Hwang (Institute of Marine Industry, Gyeongsang National University) ;
  • Byung-Il Min (Environmental Safety Technology Research Division, Korea Atomic Energy Research Institute) ;
  • Minjang Seo (Harbor Department, Yooshin Engineering Corporation) ;
  • Woo-Dong Lee (Department of Ocean Civil Engineering, Gyeongsang National University)
  • Received : 2025.07.22
  • Accepted : 2025.09.07
  • Published : 2025.10.31

Abstract

This study assesses the potential storm surge hazards at the Hanbit Nuclear Power Plant (HNPP) site on the western coast of Korea using 33 synthetic typhoons generated by the tropical cyclone risk model (TCRM). The Advanced Circulation (ADCIRC) model was used to simulate storm surge responses, and the quantitative impacts of key meteorological parameters (central pressure, maximum wind speed, radius of maximum wind) and closest approach distance were evaluated. Results show that the maximum storm surge height (MSSH) increases with stronger typhoon intensity, while the complex island topography near the HNPP site significantly reduces surge height during close approaches. Interestingly, the time-integrated storm surge height (TISSH) revealed that certain mid-range tracks can produce larger cumulative surge effects than closer, stronger typhoons. This highlights the necessity of incorporating surge duration and volume (TISSH), not just peak height (MSSH), into hazard assessments. The HNPP site exhibits relatively favorable topographic conditions compared to other western coastal regions. Future work should consider high-resolution 3D inundation modeling and include compound effects such as wave-tide interactions and sea level rise scenarios to enhance long-term safety planning for coastal nuclear infrastructure.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the South Korean government (MSIT) (RS-2022-00144263 and RS-2024-00356327).

References

  1. Dietrich, J. C. (2010). Development and application of coupled hurricane wave and surge models for southern Louisiana [Doctoral dissertation, University of Notre Dame]. https://doi.org/10.7274/h989r21024n
  2. Eum, H. S., Park, J. J., Jeong, K. Y., & Park, Y. M. (2020). Prediction of storm surge height using synthesized typhoons and artificial intelligence. Journal of the Korean Society of Marine Environment & Safety, 26(7), 892–903. https://doi.org/10.7837/kosomes.2020.26.7.892
  3. Hall, T. M., & Jewson, S. (2007). Statistical modelling of North Atlantic tropical cyclone tracks. Tellus A: Dynamic Meteorology and Oceanography, 59(4), 486–498. https://doi.org/10.1111/j.1600-0870.2007.00240.x
  4. Holland, G. J. (1980). An analytic model of the wind and pressure profiles in hurricanes. Monthly Weather Review, 108(8), 1212–1218. https://doi.org/10.1175/1520-0493(1980)108<1212:AAMOTW>2.0.CO;2
  5. Hur, D. S., Park, J. Y., Oh, H. C., & Lee, W. D. (2019). Rip current reduction at the open inlet between double submerged breakwaters by installing a drainage channel. Ocean Engineering, 193, 106580. https://doi.org/10.1016/j.oceaneng.2019.106580
  6. Hwang, T., Kim, T., Choi, S., Ko, C., & Lee, W. D. (2022). On applicability of LS-DYNA for collision analysis of drifting objects. Journal of Coastal Disaster Prevention, 9(2), 133–143. https://doi.org/10.20481/kscdp.2022.9.2.133
  7. Hwang, T., Seo, S. C., Jin, H., Oh, H., & Lee, W. D. (2024). Effects of storm waves caused by typhoon Bolaven (1215) on Korean coast: A comparative analysis with deepwater design waves. Journal of Ocean Engineering and Technology, 38(4), 149–163. https://doi.org/10.26748/KSOE.2024.044
  8. Intergovernmental Panel on Climate Change (IPCC). (2021). Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the IPCC (V. Masson-Delmotte et al., Eds.). Cambridge University Press. 
  9. Jin, H., Hwang, T., Kim, H. J., Min, B. I., & Lee, W. D. (2024). Storm surge simulations using hypothetical scenarios based on historical typhoons impacting the Korean Peninsula: Analysis of storm surge and overtopping volumes. Journal of Korea Water Resources Association, 57(12), 1037–1051. https://doi.org/10.3741/JKWRA.2024.57.12.1037
  10. Joint Typhoon Warning Center (JTWC). (n.d.). Western North Pacific Ocean best track data. https://www.metoc.navy.mil/jtwc/jtwc.html?western-pacific
  11. Kim, H. J., & Suh, S. W. (2016). Probabilistic coastal storm surge analysis using synthesized tracks based on historical typhoon parameters. Journal of Coastal Research, 75(10075), 1132–1136. https://doi.org/10.2112/SI75-227.1
  12. Kim, H. J., Jin, H., Min, B. I., & Lee, W. D. (2025). Storm surge response to typhoon tracks along the Korean Peninsula: Numerical modeling derived from historical typhoons. Journal of Ocean Engineering and Technology, 39(2), 152-162. https://doi.org/10.26748/KSOE.2025.011
  13. Korea Meteorological Administration (KMA). (2022). Typhoon occurrence statistics. https://www.weather.go.kr/w/typhoon/typstat.do
  14. Kossin, J. P., Olander, T. L., & Knapp, K. R. (2013). Trend analysis with a new global record of tropical cyclone intensity. Journal of Climate, 26(24), 9960–9976. https://doi.org/10.1175/JCLI-D-13-00262.1
  15. Lee, H. Y., Park, J. J., Seo, H. H., Jeong, K. W., & Cho, W. H. (2024). Evaluation of inundation probability using storm surge coastal inundation prediction map DB. Journal of the Korean Society of Hazard Mitigation, 24(6), 429–436. https://doi.org/10.9798/KOSHAM.2024.24.6.429
  16. Lee, W. D., Mizutani, N., & Kim, T. (2023). Experimental analysis of tsunami–current interaction in river channel. Estuarine, Coastal and Shelf Science, 291, 108434. https://doi.org/10.1016/j.ecss.2023.108434
  17. Lee, W. D., Yeom, G. S., Kim, J., Lee, S., & Kim, T. (2022). Runup characteristics of a tsunami‐like wave on a slope beach. Ocean Engineering, 259, 111897. https://doi.org/10.1016/j.oceaneng.2022.111897
  18. Luettich, R. A., Westerink, J. J., & Scheffner, N. W. (1992). ADCIRC: An advanced three-dimensional circulation model for shelves coasts and estuaries report 1: theory and methodology of ADCIRC-2DDI and ADCIRC-3DL (Report No. CERC-TR-DRP92-6). US Army Corps of Engineers Waterways Experiment Station. https://apps.dtic.mil/sti/tr/pdf/ADA261608.pdf
  19. Park, S., Kang, J., Kim, Y., & Moon, S. (2010). Applicability of coupled tide-surge model. Journal of Korean Society of Coastal and Ocean Engineers, 22(4), 248–257.
  20. Park, Y. H. (2022). A study on changes in the characteristics of typhoons around the Korean peninsula for coastal disaster prevention. Journal of Korean Society of Coastal and Ocean Engineers, 34(6), 325–334. https://doi.org/10.9765/KSCOE.2022.34.6.325
  21. Ruiz-Salcines, P., Appendini, C. M., Salles, P., Rey, W., & Vigh, J. L. (2021). On the use of synthetic tropical cyclones and hypothetical events for storm surge assessment under climate change. Natural Hazards, 105, 431–459. https://doi.org/10.1007/s11069-020-04318-9
  22. Seo, H. J., Park, S. J., Park, S. M., & Seo, G. S. (2024). Analysis of typhoon characteristics and database construction around trade ports using a synthetic tropical cyclone model. Journal of Coastal Disaster Prevention, 11(4), 151–166. https://doi.org/10.20481/kscdp.2024.11.4.151
  23. Seo, S. C., Kim, H. J., Hwang, T., & Lee, W. D. (2023). Storm wave characteristics during Typhoons Maysak and Haishen on the east and south coasts of Korea. Journal of Coastal Research, 39(1), 129–142. https://doi.org/10.2112/JCOASTRES-D-22TM-00001.1
  24. Wood, M., Haigh, I. D., Le, Q. Q., Nguyen, H. N., Tran, H. B., Darby, S. E., Marsh, S., Skliris, N., Hirschi, J. J. M., Nicholls, R. J. & Bloemendaal, N. (2023). Climate-induced storminess forces major increases in future storm surge hazard in the South China Sea region. Natural hazards and earth system sciences, 23(7), 2475–2504. https://doi.org/10.5194/nhess-23-2475-2023
  25. Wu, L., Wang, B., & Geng, S. (2005). Growing typhoon influence on East Asia. Geophysical Research Letters, 32(18), L18703. https://doi.org/10.1029/2005GL022937
  26. Yang, J., Chen, Y., Tang, Y., Duan, Z., Yan, G., Ou, J., Gong, T.,Yang, Z., & Yin, J. (2024). Evaluations of storm tide hazard along the coast of China using synthetic dynamic tropical cyclone events. Coastal Engineering, 194, 104604. https://doi.org/10.1016/j.coastaleng.2024.104604
  27. Yang, W., Yin, B., Feng, X., Yang, D., Gao, G., & Chen, H. (2019). The effect of nonlinear factors on tide-surge interaction: A case study of Typhoon Rammasun in Tieshan Bay, China. Estuarine, Coastal and Shelf Science, 219, 420–428. https://doi.org/10.1016/j.ecss.2019.01.024
  28. Yin, J., Lin, N., Yang, Y., Pringle, W. J., Tan, J., Westerink, J. J., & Yu, D. (2021). Hazard assessment for typhoon‐induced coastal flooding and inundation in Shanghai, China. Journal of Geophysical Research: Oceans, 126(7), e2021JC017319. https://doi.org/10.1029/2021JC017319