A Database of Underwater Radiated Noise from Small Vessels in the Coastal Area [Supporting Code and Tables]

The current procedures for measuring underwater radiated noise (URN) are designed for cooperating vessels in controlled areas. As such, not a lot of data is available for the URN of unidentified vessels of opportunity (VOO), especially for small vessels that do not carry an automatic identification systems (AIS). To this end, we assembled a database of 1148 VOO’s URN from acoustic and visual recordings of ferries, fishing boats, yachts, and small speed boats made within Šibenik canal, Croatia. The database comprises source pressure levels at the closest point of approach, picture and video of the vessel, and the vessel’s speed, size, and type. A shared webpage allows filtering and comparing vessel types and characteristics. To the best of our knowledge, this is one of the largest databases of vessel URN in general and the most extensive database for small coastal vessels. In this paper, we share the structure of our database, the analysis methodology. We conclude that the URN of small vessels is significant and compatible to large vessels.

当前用于测量水下辐射噪声（underwater radiated noise, URN）的测量规程，均针对受控区域内的协作船舶设计。正因如此，针对偶遇船舶（vessels of opportunity, VOO）的水下辐射噪声数据极为匮乏，尤其是未搭载自动识别系统（automatic identification systems, AIS）的小型船舶。为此，我们依托克罗地亚希贝尼克运河内采集的声学与视觉录制数据，构建了包含1148条偶遇船舶水下辐射噪声数据的数据集，涵盖渡轮、渔船、游艇及小型高速快艇等船型。该数据集包含船舶在最近接近点处的源声压级、船舶影像与视频资料，以及船舶的航速、尺寸与类型参数。我们搭建了共享网页平台，支持对船舶类型与特征进行筛选与对比分析。据我们所知，本数据集是当前通用船舶水下辐射噪声领域规模最大的数据集之一，同时也是针对近岸小型船舶的最全面数据集。本文中，我们将阐述本数据集的构建架构与分析方法。最终我们得出结论：小型船舶的水下辐射噪声水平不容忽视，且其量级与大型船舶相当。