Shoreline models have usually been recognized by professionals as the most appropriate tool for reproducing the long-term morphodynamic evolution of the shoreline of sandy beaches. Despite their underlying simplifications, the simulation of shoreline evolution at large temporal and spatial scales may imply significant computational efforts. Hence, to reduce computational costs, many approaches aimed to optimize the size of the input wave datasets have been proposed so far. A simplified novel method to reduce long-term offshore wave series is proposed herein. The rationale of the approach is to build reduced series that induce the same morphodynamic effects in the long-term as the ones induced by the whole, and more computationally expensive, original series. The method is conceived to define offshore reduced time series with the same chronological order of the complete series and is able to represent the bi-modal features of the wave climate. In-depth hydrodynamic and morphodynamic parametric analyses have been performed and it has been demonstrated that the method is capable to get reliable reduced offshore wave time series for reproducing the long-term evolution of sandy beaches with decreased computational costs.

中文翻译：

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用于长期形态动力学应用的简化波时间序列

海岸线模型通常被专业人士认为是再现沙滩海岸线长期形态动力学演化的最合适工具。尽管有潜在的简化，但在大时间和空间尺度上模拟海岸线演化可能意味着大量的计算工作。因此，为了降低计算成本，迄今为止已经提出了许多旨在优化输入波数据集大小的方法。本文提出了一种减少长期离岸波浪系列的简化新方法。该方法的基本原理是建立简化序列，从长远来看，它会产生与整个且计算成本更高的原始序列所产生的形态动力学效应相同的形态动力学效应。该方法旨在以与完整序列相同的时间顺序定义离岸简化时间序列，并且能够代表波浪气候的双峰特征。进行了深入的水动力和形态动力参数分析，并证明该方法能够获得可靠的简化近海波浪时间序列，以降低计算成本来重现沙滩的长期演化。