• Title/Summary/Keyword: overtopping prediction

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Inundation Simulation on a Vertical Dock Using Finite Element Storm Surge Model (유한요소 폭풍해일 모형을 이용한 직립안벽에 대한 범람모의)

  • Suh, Seung-Won;Lee, Hwa-Young
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.24 no.4
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    • pp.235-246
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    • 2012
  • Typhoon induced surge simulations are done to make an establishment of coastal disaster prevention plan. To apply efficient run-up and overtopping on vertical harbor docks, in which prevailing wet-dry scheme cannot be satisfied due to infinite steepness, an imaginary internal barrier concept introduced and analyzed. Before real application on the Mokpo harbor area, feasibility tests are done on an idealized simple geometry and as a result it is found that the moderate width of the barrier might be 1 m. The threshold value of the minimum wet depth $H_{min}$ for land area, which behaves sensitive role in inundation area and depth, depends on grid size. However it is revealed that 0.01 m is adequate value in this fine finite element with 10 m spacing. A hypothetical typhoon of 100 years return period in central pressure and maximum velocity is generated based on historical tracks. Simulation of possible inundation on Mokpo area is performed with asymmetrical vortex of hypothetical typhoon and wave coupling. Model results show general agreement in pattern compared to other's prediction, however possibility of inundation enlargement is expected in harbor area.

Prediction of Mean Water Level Rise Behind Low-Crested Structures and Outflow Velocity from Openings by Using a Hybrid Method Based on Two Dimensional Model Test and Hydrodynamic Numerical Modeling (단면수리모형 및 해수유동모델링 결합기법에 의한 저마루 구조물 배후의 평균수위 상승 및 개구부 유출유속 예측)

  • Lee, Dal Soo;Lee, Ki-Jae;Yoon, Jae Seon;Oh, Sang-Ho
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.29 no.6
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    • pp.410-418
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    • 2017
  • The stability of low-crested structure (LCS) and overtopping discharge over a seawall behind the LCS are influenced by the water level behind the structure. Hence, the experimental results can be distorted unless the increase of water level is known when two-dimensional experiment is carried out. In order to estimate increase of the mean water level behind the low-crested structure, this study applied a hybrid technique that combined results of two-dimensional model test and hydrodynamic numerical modeling based on the relationship between the water level and discharge. By using this technique, the mean water level increase and flow field can be obtained almost at the same time, which resolved the above problem considerably. In addition, this method can provide an approximate information about the outflow velocity from the openings of the structure, which is helpful for selecting appropriate planar configuration of the low-crested structure.

Coastal Complex Disaster Risk Assessment in Busan Marine City (부산 마린시티 해안의 복합재난 위험성 평가)

  • Hwang, Soon-Mi;Oh, Hyoung-Min;Nam, Soo-yong;Kang, Tae-Soon
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.26 no.5
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    • pp.506-513
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    • 2020
  • Due to climate change, there is an increasing risk of complex (hybrid) disasters, comprising rising sea-levels, typhoons, and torrential rains. This study focuses on Marine City, Busan, a new residential city built on a former landfill site in Suyeong Bay, which recently suffered massive flood damage following a combination of typhoons, storm surges, and wave overtopping and run-up. Preparations for similar complex disasters in future will depend on risk impact assessment and prioritization to establish appropriate countermeasures. A framework was first developed for this study, followed by the collection of data on flood prediction and socioeconomic risk factors. Five socioeconomic risk factors were identified: (1) population density, (2) basement accommodation, (3) building density and design, (4) design of sidewalks, and (5) design of roads. For each factor, absolute criteria were determined with which to assess their level of risk, while expert surveys were consulted to weight each factor. The results were classified into four levels and the risk level was calculated according to the sea-level rise predictions for the year 2100 and a 100-year return period for storm surge and rainfall: Attention 43 %, Caution 24 %, Alert 21 %, and Danger 11 %. Finally, each level, indicated by a different color, was depicted on a complex disaster risk map.