Hindcasting Long Waves in a Port: An ANN Approach
Hindcasting Long Waves in a Port: An ANN Approach
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DOI：
10.1142/s0578563415500199
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发表时间：
2015-12
影响因子：
2.4
通讯作者：
Mario López;I. López;G. Iglesias
中科院分区：
文献类型：
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作者：
Mario López;I. López;G. Iglesias
海洋重力波在港口作业和许多近岸过程中起着重要的作用，因此其特性是海洋学家和海岸工程师的主要兴趣。由于缺乏适当的测量网络和历史数据库，因此事后预报技术的开发至关重要。这项工作提出了一个充分发展的亚重力波后报方法，通过人工神经网络（ANN）及其应用的案例研究。根据长期的近海波浪条件、海平面振荡的短记录和历史潮汐谐波分量，计算了一个港池内低频带和涌浪带的特征波高。在此基础上，我们构造并分析了所研究的两个特征波高的单个和联合概率密度函数。此外，我们还研究了港内亚重力能量与离岸波浪参数之间的关系，并探讨了低频带能量超过涌浪能量的极端事件。研究结果突出了该方法的潜力，以表征内港池的亚重力波的条件和其适用性，以研究其他沿海问题，这些波参与。
Infragravity waves play an important role in port operations and many nearshore processes, and therefore their characterization is of major interest for oceanographers and coastal engineers. The lack of proper measurement networks and historic databases makes the development of hindcasting techniques essential. This work presents a fully developed infragravity wave hindcast methodology through Artificial Neural Networks (ANNs) and its application to a case study. The characteristic wave-heights of the low frequency band and the swell band inside a port basin are computed for a period of eight years on the basis of the long-term offshore wave conditions, a short record of searlevel oscillations and the historic tidal harmonic constituents. Based on the results, we construct and analyze the single and the joint probability density functions of the two characteristic wave-heights studied. In addition, we study the relationships between the infragravity energy inside the port and the offshore wave parameters and explore the extreme events during which the low frequency band energy exceeds the swell energy. The findings highlight the potential of the methodology to characterize the infragravity wave conditions inside a port basin and its suitability to study other coastal problems in which these waves are involved.