远海船舶噪声分布初步研究

舰船数量、吨位以及航行距离的急剧上升导致了海洋环境噪声级大幅度升高,对海洋环境的影响也日趋加重。但是当前的海洋环境噪声研究所使用的历史航船数据库的信息却非常匮乏且无法及时更新,不能反映出船舶噪声真实的变化情况。此外,对于远离岸边的海域,岸基船舶自动识别系统(Automatic Identification System,AIS)与雷达无法监测到,卫星AIS技术的不成熟导致了船舶数据时效性和完整性的严重不足。因此,尚无可用的远海大范围的船舶数据。为了解决远海船舶数据缺乏的问题,提出了一种基于多源AIS数据的数据融合方法,根据某海域在某个时间段内收到的所有AIS信息,处理后进行融合,融合结果可以得到任一时刻该海域的船舶分布情况,进而可计算出该海域的区域船舶噪声级。

Research on pelagic ship noise distribution

As the number of ships continues to grow, the quantities of goods carried and the distances of ship traveled have made the sea ambient noise level dramatically rising, which impacts on the marine environment increasingly worse. Moreover, the ship history database can not reflect the real situation and is no longer applicable. Especially for the pelagic ships, there is a shortage of data available. With the aim of palliating this situation, this paper puts forward a data fusion method of multi-source AIS, which can get the every hour distribution of ships and then calculate the regional ship noise level for sound mapping.