ANALYSIS OF STORM SURGE CHARACTERISTICS BASED ON TYPHOON PROPERTIES

Jung-A Yang, Nobuhito Mori
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Abstract

A storm surge is an abnormal sea level rise caused by low pressure and strong winds. About two-thirds of the world’s population live in coastal areas with high risk natural disasters, and among them, coastal flooding caused by storm surges caused the highest number of deaths. In particular countries located in the Northwest Pacific suffer various damages from storm surge every year due to the effects of typhoons that accompany low pressure and storm winds at the same time, and Korea is no exception. So an analysis of the characteristics of storm is important tasks in disaster mitigation in coastal areas. Two approaches are commonly used for storm surge studies: dynamical method and statistical method. The dynamical approach uses a numerical model, which has the advantage of being able to reproduce the complex physical processes of the ocean and simulating the propagation and influence of storm surges, and the disadvantage of being expensive and time-consuming for modeling. On the other hand, the statistical approach using a statistical model is reasonable in cost and time for modeling, but it is greatly affected by the reliability of the input data and has the disadvantage that it is suitable only for a specific single point.
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基于台风性质的风暴潮特征分析
风暴潮是由低压和强风引起的海平面异常上升。世界上约有三分之二的人口生活在自然灾害高风险的沿海地区,其中由风暴潮引起的沿海洪水造成的死亡人数最多。特别是西北太平洋地区的国家,每年都会受到低气压和暴风同时出现的台风的影响,遭受各种各样的风暴潮灾害,韩国也不例外。因此,分析风暴的特征是沿海地区减灾的重要任务。风暴潮研究常用两种方法:动力方法和统计方法。动力学方法采用数值模式,其优点是能够再现海洋的复杂物理过程,模拟风暴潮的传播和影响,缺点是建模成本高,耗时长。另一方面,使用统计模型的统计方法在建模成本和时间上是合理的,但受输入数据可靠性的影响较大,并且存在只适用于特定单点的缺点。
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