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Numerical analysis of effects of tidal variations on storm surges and waves

机译:潮汐变化对风暴潮和波浪影响的数值分析

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This study examines the effects of tides on surges, wave setups and waves, in terms of tidal amplitudes and phases, by using a coupled numerical model of Surge, WAve and Tide (called as SuWAT). The SuWAT model, composed of depth integrated nonlinear shallow water equations and Simulating WAves Nearshore (SWAN) model, is able to simultaneously run with an arbitrary number of nested domains by using the Message Passing Interface. The results for an idealized case indicate that surge and wave setup are increased in the phase of low water and decreased in the high water phase; on the other hand, waves change in a reverse manner. Such changes are enhanced by large tidal variations. The conventional method (e.g., surge plus tide independently) has the possibility of overestimation for the total water level. The hindcast results for Typhoon Ewiniar in 2006 show that the run with tides is more accurate 10% than that without tides in coastal areas of Korea. The nested scheme improves the accuracy up to 40% for the prediction of water levels in the simulations. It is shown that the present coupled model, SuWAT, is capable of predicting both water levels and waves under storm events with reasonable accuracy against the observations.
机译:本研究通过使用潮汐,波浪和潮汐的耦合数值模型(称为SuWAT),研究了潮汐对潮汐,波浪形和波浪的影响,包括潮汐振幅和相位。 SuWAT模型由深度积分的非线性浅水方程式和近岸模拟波浪模型(SWAN)组成,可以使用消息传递接口同时在任意数量的嵌套域中运行。理想情况下的结果表明,在水位低时,浪涌和波浪形成增加,而水位高时,浪涌和波浪形成减少;另一方面,波以相反的方式变化。较大的潮汐变化会增强这种变化。常规方法(例如,单独使用浪涌加潮)可能会高估总水位。 2006年台风“艾维娜”台风的后预报结果表明,在韩国沿海地区,有潮汐的奔跑比没有潮汐的奔跑更为准确。嵌套方案将模拟中的水位预测精度提高了40%。结果表明,目前的耦合模型SuWAT能够相对于观测值以合理的精度预测风暴事件下的水位和波浪。

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