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http://dx.doi.org/10.7850/jkso.2021.26.1.001

Classification and Analysis of Korea Coastal Flooding Using Machine Learning Algorithm  

CHO, KEON HEE (ALLFORLAND)
EOM, DAE YONG (ALLFORLAND)
PARK, JEONG SIK (ALLFORLAND)
LEE, BANG HEE (ALLFORLAND)
CHOI, WON JIN (Korea Hydrographic and Oceanographic Agency)
Publication Information
The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY / v.26, no.1, 2021 , pp. 1-10 More about this Journal
Abstract
In this study, Information for the case of seawater flooding and observation data over a period of 10 years (2009~2018) was collected. Using machine learning algorithms, the characteristics of the types of seawater flooding and observations by type were classified. Information for the case of seawater flooding was collected from the reports of the Korea Hydrographic and Oceanographic Agency (KHOA) and the Korea Land and Geospatial Informatics Corporation. Observation data for ocean and meteorological were collected from the KHOA and the Korea Meteorological Agency (KMA). The classification of seawater flooding incidence types is largely categorized into four types, and into 5 development types through combination of 4 types. These types were able to distinguish the types of seawater flooding according to the marine weather environment. The main characteristics of each was classified into the following groups: tidal movement, low pressure system, strong wind, and typhoon. Besides, in consideration of the geographical characteristics of the ocean, the thresholds of ocean factors for seawater flooding by region and type were derived.
Keywords
Seawater flooding; Machine learning; Types of seawater flooding; Thresholds of ocean factors;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 Bao, J.W., J.M. Wilczak, J.K. Choi and L.H. Kantha, 2000. Numerical simulations of air-sea interaction under high wind conditions using a coupled model: A study of hurricane development. Monthly Weather Review, 128(7): 2190-2210.   DOI
2 Cheung, K.F., A.C. Phadke, Y. Wei, R. Rojas, Y.J.-M. Douyere, C.D. Martino, S.H. Houston, P.L.-F. Liu, P.J. Lynett, N. Dodd, S. Liao and E. Nakazaki, 2003. Modeling of storm-induced coastal flooding for emergency management. Ocean Engineering, 30(11): 1353-1386.   DOI
3 Chun, J.Y., K.H. Lee, J.M. Kim and D.S. Kim, 2008. Inundation Analysis on Coastal Zone around Masan Bay by Typhoon Maemi (No. 0314). Journal of Ocean Engineering and Technology, 22(3): 8-17.
4 Hur, D.S., G.S. Yeom, J.M. Kim, D.S. Kim and K.S. Bae, 2006a. Estimation of storm surges on the coast of Busan. Journal of Ocean Engineering and Technology, 20(3): 37-44.
5 Hur, D.S., G.S. Yeom, J.M. Kim, D.S. Kim and K.S. Bae, 2006b. Storm surge characteristics according to the local peculiarity in Gyeongnamcoast. Journal of Ocean Engineering and Technology, 20(3): 45-53.
6 Kang, J.W., S.J. Park, S.R. Moon and J.T. Yoon, 2009. Effects of Typhoon's Characteristics on the Storm Surge at GyeongnamCoastal Zone. Journal of Korean Society of Coastal and Ocean Engineers, 21(1): 1-14.
7 Kim, D.S., J.M. Kim, G.H. Lee and S.D. Lee, 2007. Inundation analysis considering water waves and storm surge in the coastal zone. Journal of Ocean Engineering and Technology, 21(2): 35-41.
8 Lee, J.L., J.W. Kang and J.T. Yoon, 2008. Numerical Simulation of Surge-Wave Combined Inundation at Mokpo North Harbor. Journal of The Korean Society of Civil Engineers, 28(3B): 307-313.
9 Lee, Y.M., J.H. Bae and D.B. Park, 2016. A Study on fog forecasting method through data mining techniques in Jeju. Journal of Environmental Science International, 25(4): 603-613.   DOI
10 Li, Y.S. and M.Y. Zhang, 1997. Dynamic coupling of wave and surge models by Eulerian-Lagrangianmethod. Journal of waterway, port, coastal, and ocean engineering, 123(1): 1-7.   DOI
11 Moon, S.R., S.J. Park, J.W. Kang and J.T. Yoon, 2006. Numerical simulations of storm surge/coastal flooding at Mokpo coastal zone by MIKE21 model. Journal of Korean Society of Coastal and Ocean Engineers, 18(4): 348-359.
12 Moon, S.R., T.S. Kang, S.Y. Nam and J. Hwang, 2007. A study on scenario to establish coastal inundation prediction map due to storm surge. Journal of Korean Society of Coastal and Ocean Engineers, 19(5): 492-501.
13 Ozer, J., R. Padilla-Hernandez, J. Monbaliu, E.A. Fanjul, J.C.C. Albiach, P. Osuna, J.C.S. Yu and J. Wolf, 2000. A coupling module for tides, surges and waves. Coastal Engineering, 41(1-3): 95-124.   DOI
14 Park, S. and S.R. Lee, 2013. Marine disasters prediction system model using marine environment monitoring. The Journal of Korean Institute of Communications and Information Sciences, 38(3): 263-270.
15 Park, S.J., J.W. Kang, S.R. Moon and J.T. Yoon, 2009. Applicability on Inundation for Hydrodynamic Models adopting Moving Boundary Scheme. Journal of Korean Society of Coastal and Ocean Engineers, 21(2): 164-173.
16 Park, S.J., J.W. Kang, S.R. Moon and Y.S. Kim, 2011. Simulation of inundation at Mokpo City using a coupled tide-surge model. Journal of Korean Society of Coastal and Ocean Engineers, 23(1): 93-100.   DOI
17 Song, B.H., M.A. Jung and S.R. Lee, 2010. A design and implementation red tide prediction monitoring system using case based reasoning. The Journal of Korean Institute of Communications and Information Sciences, 35(12B): 1219-1226.