녹산국가산업단지 인근에서 해안방재를 위한 해안환경요소의 평가

Abstract

In general, the coastal damage is mostly occurred by the action of complex factor like severe water waves due to variation of long period sea level such as tide, storm surge and tsunami. Among them, if the maximum storm surge height combine with high tide, severe water wave will be overflow coastal structure such as seawall, dike and revetment. Consequently, it can be cause of many life loss and badly property damage in the inland. Therefore, in order to prevent/reduce recurrence of the disaster like inundation, it is very important to investigate highly prediction and the fluctuation characteristics of the storm surge height, related to the local peculiarities at each coastal area where occurrence of the inundation is expected. In addition, in case of plan for hazard map in the coastal zone, highly forecasting of inundation regime due to the coastal flood of severe water wave is very important factor. In this study, using the numerical model, the storm surge was simulated to examine its fluctuation characteristics at the coast in front of Noksan industrial complex, Korea. Typhoon of Sarah(5914), Thelma(8705) and Maemi(0314), which caused terrible damage to the coastal area along the coast of Busan in the past, was used for storm surge simulation. The shallow water wave at the coast in front of Noksan industrial complex is calculated by applying typhoon Maemi's wind field, design water level considering storm surge height for typhoon Maemi to SWAN model. Under the condition of shallow water wave obtained by SWAN model, wave overtopping rate for dike in front of Noksan industrial complex is estimated by applying to VOF method, which can simulate the nonlinear wave including the wave overtopping process with acceptable accuracy. Finally, applying estimated wave overtopping rate to Noksan industrial complex, inundation regime was predicted. And, numerically predicted inundation regimes and depths are compared with results in on-the-spot survey, and the results agree fairly well. Therefore, newly proposed method in this study is useful tool for predicting inundation regime due to the coastal flood of severe water wave.