• Title/Summary/Keyword: Typhoon surge

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A Height Simulation on Storm Surges in Jeju Island (제주도 연안해역의 폭풍해일고 산정)

  • Yang, Sung-Kee;Kim, Sang-Bong
    • Journal of Environmental Science International
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    • v.23 no.3
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    • pp.459-472
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    • 2014
  • Storm surge height in the coastal area of Jeju Island was examined using the Princeton Ocean Model(POM) with a sigma coordinate system. Amongst the typhoons that had affected to Jeju Island for six years(1987 to 2003), the eight typhoons(Maemi, Rusa, Prapiroon, Olga, Yanni, Janis, Gladys and Thelma) were found to bring relatively huge damage. The storm surge height of these typhoons simulated in Jeju harbour and Seogwipo harbour corresponded relatively well with the observed value. The occurrence time of the storm surge height was different, but mostly, it was a little later than the observed time. Jeju harbour showed a higher storm surge height than Seogwipo harbour, and the storm surge height didn't exceed 1m in both of Jeju harbour and Seogwipo harbour. Maemi out of the eight typhoons showed the maximum storm surge height(77.97 cm) in Jeju harbour, and Janis showed the lowest storm surge height(5.3 cm) in Seogwipo harbour.

Study and Analysis of the Damage by the Storm Surge (폭풍해일에 의한 피해사례 연구 및 분석)

  • Hong, Weon-Sig;Park, Seong-Soo;Cho, Yong-Sik
    • 한국방재학회:학술대회논문집
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    • 2008.02a
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    • pp.447-450
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    • 2008
  • A storm surge is gradually increased in the Korean peninsula. Furthermore, this phenomenon is confined not only the Korean peninsula but also the whole world. A storm surge induced by storm, typhoon, or cyclone is a phenomenon that the water surface elevation is raising by the barometric pressure difference and this water level rising threatens the coastal facilities, settlement, or lives. Most of coastal region in our country are unsafe from this disaster. Even though we are not able to prevent the generation of this phenomenon, we can reduce the damages by investigating the kind of storm surge disaster. Once we finish this investigation, we can reduce the damages by offering the information for risk prior to an invasion of storm surge. This study, we analyzed the previously occurred storm surge damages, and this data can be utilized as a guide for those who live near the coastal region providing the information about the predicting scale of the storm surge

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Storm Surge Caused by the Typhoon in Kwangyang Port (광양항에서의 폭풍해일 검토)

  • Kim, Hyeon-Seong;Im, Hyo-Hyuc;Han, Dong-Hoon;Kim, Pyeong-Joong
    • Proceedings of the Korean Society of Marine Engineers Conference
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    • 2006.06a
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    • pp.205-206
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    • 2006
  • The surges caused by the typhoon of Korea are analysed in Kwangyang Bay. The deviations of the high water level were $74{\sim}185cm$ and the maximum deviations of the water level (maximum surges) were $151{\sim}240cm$ in Kwangyang Bay during the typhoon. The major parameters of the maximum deviations of the water level are as follows : Analysis shows that the pressure drop increased the sea level by $43{\sim}59cm$, the flood of the Sumjin River by $4{\sim}5cm$ and the external surge propagation and wind setup by $97{\sim}192cm$.

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Realtime Tide and Storm-Surge Computations for the Yellow Sea Using the Parallel Finite Element Model (병렬 유한요소 모형을 이용한 황해의 실시간 조석 및 태풍해일 산정)

  • Byun, Sang-Shin;Choi, Byung-Ho;Kim, Kyeong-Ok
    • Journal of the Korea Institute of Military Science and Technology
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    • v.12 no.1
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    • pp.29-36
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    • 2009
  • Realtime tide and storm-surge computations for the Yellow Sea were conducted using the Parallel Finite Element Model. For these computations a high resolution grid system was constructed with a minimum node interval of loom in Gyeonggi Bay. In the modeling, eight main tidal constituents were analyzed and their results agreed well with the observed data. The realtime tide computation with the eight main tidal constituents and the storm-surge simulation for Typhoon Sarah(1959) were also conducted using parallel computing system of MPI-based LINUX clusters. The result showed a good performance in simulating Typhoon Sarah and reducing the computation time.

Numerical Modelling of Typhoon-Induced Storm Surge on the Coast of Busan (부산 연안에서 태풍에 의한 폭풍해일의 수치모델링)

  • Cha-Kyum Kim;Tae-Soon Kang
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.7
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    • pp.760-769
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    • 2023
  • A numerical simulations were performed to investigate the storm surge during the passage of Typhoon Maemi on the coast of Busan. The typhoon landed on the southern coasts of Korean Peninsula at 21:00, September 12, 2003 with a central pressure of 950 hPa, and the typhoon resulted on the worst coastal disaster on the coast of Busan in the last decades. Observed storm surges at Busan, Yeosu, Tongyoung, Masan, Jeju and Seogwipo harbors during the passage of the typhoon were compared with the computed data. The simulated storm surge time series were in good agreement with the observations. The simulated peak storm surges were estimated to be 230 cm at Masan harbor, 200 cm at Yeosu harbor and Tongyoung harbor, and 75 cm at Busan harbor. The computed storm surges along the east coast of Busan measure 52 to 55 cm, exhibiting a gradual reduction in surge height as one moves further from the coast of Busan. Therefore, coastal inundation due to the storm surge in the semi-enclosed bay can induce great disasters, and the simulated results can be used as the important data to reduce the impact of a typhoon-induced coastal disaster in the future.

Study on Development of Surge-Tide-Wave Coupling Numerical Model for Storm Surge Prediction (해일-조석-파랑을 결합한 폭풍해일 수치모델 개발에 관한 연구)

  • Park, Jong-Kil;Kim, Myung-Kyu;Kim, Dong-Cheol;Yoon, Jong-Sung
    • Journal of Ocean Engineering and Technology
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    • v.27 no.4
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    • pp.33-44
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    • 2013
  • IIn this study, a wave-surge-tide coupling numerical model was developed to consider nonlinear interaction. Then, this model was applied and calculations were made for a storm surge on the southeast coast. The southeast coast was damaged by typhoon "Maemi" in 2003. In this study, we used a nearshore wind wave model called SWAN (Simulating WAves Nearshore). In addition, the Meyer model was used for the typhoon model, along with an ocean circulation model called POM (Princeton Ocean Model). The wave-surge-tide coupling numerical model could calculate exact parameters when each model was changed to consider the nonlinear interaction.

The Typhoon Surges in the Southern Coast of Korea by Typhoon Brenda (태풍 Brenda에 의한 한국 남해안의 해일)

  • LEE In-Cheol;KIM Jong-Kyu;CHANG Sun-duck
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.27 no.5
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    • pp.594-604
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    • 1994
  • The storm surges caused by the typhoon Brenda in 1985 were studied by analysing tidal observation data at 7 stations along the south coast of the Korean peninsula. The tidal deviation at these stations along the coast are discussed in association with meteorological data. The sea level anomalies were studied by means of the Empirical Orthogonal Function (EOF) analysis and the Fast Fourier Transform(FFT) method. From the result of EOF analysis, the temporal and spatial variations of storm surge were described by the first mode of EOF, which is $73\%$ of the total variances during the passage of typhoon Brenda. From the results of FFT spectral analysis, the peak energy of the autospectrum for surge, atmospheric pressure, and wind stress appeared in the low frequency fluctuations band. The result of FFT analysis showed that the typhoon surge was related chiefly to the atmospheric pressure change in an open bay such as Cheju and Keomundo harbor, while it was influenced mainly by the wind stress in the semi-enclosed waters of Yeosu, Chungmu and Kadukdo.

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Development of the Combined Typhoon Surge-Tide-Wave Numerical Model 2. Verification of the Combined model for the case of Typhoon Maemi (천해에 적용가능한 태풍 해일-조석-파랑 수치모델 개발 2. 태풍 매미에 의한 해일-조석-파랑 모델의 정확성 검토)

  • Chun, Je-Ho;Ahn, Kyung-Mo;Yoon, Jong-Tae
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.21 no.1
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    • pp.79-90
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    • 2009
  • This paper presents the development of dynamically combined Typhoon generated surge-tide-wave numerical model which is applicable from deep to shallow water. The dynamically coupled model consists of hydrodynamic module and wind wave module. The hydrodynamic module is modified from POM and wind wave module is modified from WAM to be applicable from deep to shallow water. Hydrodynamic module computes tidal currents, sea surface elevations and storm surges and provide these information to wind wave module. Wind wave mudule computes wind waves and provides computed information such as radiation stress, sea surface roughness and shear stress due to winds. The newly developed model was applied to compute the surge, tide and wave fields by typhoon Maemi. Verification of model performance was made by comparison of measured waves and tide data with simulated results.

The Vulnerability of the Reclaimed Seashore Land Attendant Upon Storm Surge/Coastal Inundation (해일/범람에 따른 해안 매립지의 취약성)

  • Kang, Tae-Soon;Moon, Seung-Rok;Nam, Soo-Yong;Shim, Jae-Seol
    • Journal of Ocean Engineering and Technology
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    • v.24 no.1
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    • pp.68-75
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    • 2010
  • Recently, the intensity and frequency of typhoons have been on the increase due to unusual weather phenomena and climate change. In particular, on September 13, 2003, typhoon MAEMI (0314) caused heavy damage in the provinces of Busan and Gyongnam, but also provided an opportunity to perform a variety of studies on storm surge. According to investigation reports on the damage resulting from typhoon MAEMI, the areas where coastal inundation occurred were located in reclaimed land under coastal development. In this study, through an image data analysis of historic and present day typhoons affecting Masan, we found that the inundation damage areas corresponded to reclaimed lands. Therefore, using the area around Busan, including the southeastern coast of Korea where typhoons lead to an increased storm surge risk, we performed a storm surge/inundation simulation, and examined the inundation effect on reclaimed land due to the intensified typhoons predicted for the future by climate change scenarios.