Abst'/> An efficient approach to forecast water levels owing to the interaction of tide and surge associated with a storm along the coast of Bangladesh
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An efficient approach to forecast water levels owing to the interaction of tide and surge associated with a storm along the coast of Bangladesh

机译：一种有效的方法来预测由于孟加拉国海岸风暴带来的潮汐和潮汐的相互作用而引起的水位

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AbstractInnovative formulation of new algorithm(s) is still a great challenge in scientific research community for solving any real time non-linear problems. Based on the above notion, in this study, the method of lines (MOL) in addition with the newly introduced embedded RKARMS(4,4) technique is adapted for numerical prediction of water levels owing to the interaction of tide and surge associated with a cyclone. To perform the desired task, initially a transformation is carried out to convert the vertically integrated shallow water equations in Cartesian coordinates with boundary conditions into ordinary differential equations (ODEs) of initial valued, which are solved by the RKARMS(4,4) technique to attain results. The model is specifically designed for the coast of Bangladesh. To incorporate coastal complexities along the region of interest with minimum cost, one way nested models are used. A stable tidal condition is generated applying theM2tidal constituent along the southern open boundary of the parent model. The newly designed model is applied to compute water levels due to combined effect of tide and surge associated with the recent severe storm AILA along the coast of Bangladesh. Simulated results show the new approach performs well and ensures conformity with observation.Highlights•Vertically integrated SWEs are solved using the MOL with the aid of RKARMS (4,4) method to predict water levels due to tide and surge.•Our simulated results are in good agreement with observation and are found to be better over the MOL with RK(4,4) method and FDM in terms of accuracy.•Based on the newly proposed approach, a significant operational forecasting mechanism can be developed for the coast of Bangladesh.
机译： 摘要 在研究任何实时非线性问题的科学研究领域，新算法的创新形式仍然是一个巨大的挑战。基于以上观点，在本研究中，由于潮汐和潮汐的相互影响，加上新引入的嵌入式RKARMS（4,4）技术，线法（MOL）还适用于水位的数值预测。气旋。为了执行所需的任务，首先进行转换，将具有边界条件的笛卡尔坐标中的垂直积分浅水方程式转换为初始值的常微分方程式（ODE），然后通过RKARMS（4,4）技术对其求解。取得成果。该模型是专门为孟加拉国海岸设计的。为了以最小的成本合并沿感兴趣区域的沿海复杂性，使用了一种嵌套模型。应用 M 2 沿父模型南部开放边界的潮汐成分。新设计的模型被用于计算潮水和潮汐的综合影响，这些潮汐与最近孟加拉国沿海的强风暴AILA相关联。仿真结果表明，该新方法性能良好，并确保与观察的一致性。 突出显示 • 借助MOL借助RKARMS（4,4）方法预测由于潮汐和潮汐引起的水位，可以解决垂直积分的SWE。 • 我们的模拟结果与观察结果非常吻合并且在准确性方面被发现优于使用RK（4,4）方法和FDM的MOL。 • 基于新提议的方法，可以为孟加拉国海岸开发重要的运营预测机制。

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