采用被动声监测方法识别波弗特海区域海洋水声环境

为了研究北冰洋冰下水声环境的噪声特性，对2016年中国第七次北极科考期间在波弗特海进行的声学观测实验获取的数据集，采用时间统计分析和频域谱分析方法进行了处理，讨论了处理结果与同时期获取的海洋、大气之间的联系。针对冰下噪声长期监测和北冰洋水声环境特性的准实时观测，确定了描述冰下水声环境特性的参数组，给出了处理方法和流程，用于基于被动声监测的水声环境识别，指导研究设计和硬件选择。回传的实测结果可以与已发表的结论进行比较，从而确切描述和理解北冰洋水声环境的变化。

Using passive acoustic monitoring method to identify underwater acoustic environment in the Beaufort Sea

In order to study the noise characteristics of underwater acoustic environment in the Arctic Ocean, the data set obtained from the acoustic observation test conducted in the Beaufort Sea during the 7th Arctic Scientific Expedition in 2016 was processed using the time statistical analysis and the frequency domain spectrum analysis methods, and the relationship between the processing results and the ocean and atmosphere obtained in the same period was discussed. For long-term monitoring of underwater noise and quasi-real-time observation of underwater acoustic environment characteristics in the Arctic Ocean, the parameter group describing underwater acoustic environment characteristics is determined, and the processing methods and procedures are given for underwater acoustic environment identification, which are suitable to guide research design and hardware selection for passive acoustic monitoring. The results can be compared with the published conclusions in the past to describe and understand exactly the changes in the New Arctic.