Page 130 - 《应用声学》2023年第4期

第 42 卷 第 4 期 Vol. 42, No. 4
2023 年 7 月 Journal of Applied Acoustics July, 2023

⋄ 研究报告 ⋄

采用被动声监测方法识别波弗特海区域海洋

水声环境

谢志敏 1,2 徐全军 1 李晟昊 3 卫翀华 3,4†

(1 哈尔滨工程大学水声工程学院 哈尔滨 150001)
(2 海军参谋部军事海洋环境建设办公室 北京 100161)
(3 中国科学院声学研究所 北京 100190)
(4 哈尔滨工程大学 极地海洋声学与技术应用教育部重点实验室 哈尔滨 150001)

摘要：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。
关键词：北冰洋；被动监测；低频；海洋环境噪声；背景噪声；噪声特性
中图法分类号: P71 文献标识码: A 文章编号: 1000-310X(2023)04-0792-12
DOI: 10.11684/j.issn.1000-310X.2023.04.015

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

XIE Zhimin 1,2 XU Quanjun 1 LI Shenghao 3 WEI Chonghua 3,4

(1 College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China)
(2 Military Marine Environment Construction Office of Navy Staff, Beijing 100161, China)
(3 Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China)
(4 Key Laboratory for Polar Acoustics and Application of Ministry of Education, Harbin Engineering University,
Harbin 150001, China)

Abstract: 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

2021-12-03 收稿; 2023-04-27 定稿
作者简介: 谢志敏 (1981– ), 男, 湖南双峰人, 博士研究生, 研究方向: 信号与信息处理。
通信作者 E-mail: wch@mail.ioa.ac.cn
†