Seemann Arne, Melling Gregor
Federal Waterways Engineering and Research Institute, Department of Coastal Engineering, Hamburg, Germany.
Sci Data. 2025 Jan 11;12(1):54. doi: 10.1038/s41597-024-04299-5.
Vessel-generated waves and currents significantly impact coastal and estuarine waterways. In-situ measurements record all relevant physical phenomena that occur under a wide range of conditions and are therefore a valuable resource in the investigation of ship waves. Here we present a comprehensive compound dataset from in-situ ship wave measurement campaigns conducted over several decades in German coastal waterways. The dataset includes measured ship waves heights and currents as well as an attribution of each wave event to ship and nautical parameters responsible for its generation. The dataset is unique in its scope, combining a significant number of data points from multiple sites with different cross-section profiles. Some campaigns feature multiple gauges per cross-section, facilitating the analysis of wave transformation processes. Some locations feature repeat measurements which helps to understand wave load histories due to e.g. changes in shipping fleet structures and navigation practices. This dataset aims to provide a basis to enhance data-driven models to predict and manage the impacts of vessel-generated waves in different topographic settings and fleet structures.
船舶产生的波浪和水流对沿海及河口航道有显著影响。现场测量记录了在广泛条件下发生的所有相关物理现象,因此是研究船舶波浪的宝贵资源。在此,我们展示了一个来自德国沿海水道数十年来现场船舶波浪测量活动的综合复合数据集。该数据集包括测量的船舶波浪高度和水流,以及每个波浪事件与导致其产生的船舶和航海参数的关联。该数据集在范围上独具特色,将来自多个具有不同横截面轮廓地点的大量数据点结合在一起。一些测量活动在每个横截面上设置了多个测量点,便于分析波浪变换过程。一些地点进行了重复测量,有助于了解由于例如航运船队结构和航行习惯变化而产生的波浪载荷历史。这个数据集旨在为增强数据驱动模型提供基础,以预测和管理在不同地形设置和船队结构下船舶产生的波浪的影响。