深海环境噪声监测技术发展现状与展望
Development and Prospect of Deep-Sea Environmental Noise Monitoring Technology
陆哲哲 1朱心科 1杜新光 2李家彪1
作者信息
- 1. 自然资源部第二海洋研究所海底科学实验室,浙江杭州 310012
- 2. 深海技术科学太湖实验室,江苏无锡 214028
- 折叠
摘要
以往关于人类活动对海洋生态系统产生的影响讨论主要聚焦于污染物的排放、过度二氧化碳的排放及过度开发等,然而人为噪声也是海洋生态系统的重要压力源之一.人为噪声的频率范围与海洋动物发出和感知的声音频率范围存在高度重合,因此人为噪声的增加会影响海洋动物的行为、生理甚至生存.鉴于海洋声景的快速变化,迫切需要发展深海环境噪声监测技术,评估人为噪声对深海生态系统的影响,从而针对性地减轻人类对海洋声景的影响,服务于构建健康的海洋.本文立足国内外研究形势,回顾人类活动影响下的海洋声景及深海噪声监测技术的发展情况,介绍多个致力于海洋噪声监测和研究的国际大计划,并呼吁相关机构及部门增强对海洋声景的关注,鼓励先进技术的研发,并制定相应的管理框架.
Abstract
Previous discussions on the impact of human activities on the marine ecosystem mainly focused on issues such as pollutant emissions,excessive carbon dioxide emissions,and overexploitation.However,anthropogenic noise is also a significant stressor in the marine ecosystem.The frequency range of anthropogenic noise overlaps with the hearing range of marine animals,which can affect their behavior,physiology,and even survival.Given the rapid changes in the ocean soundscape,there is an urgent need to develop deep-sea environmental noise monitoring technology to assess the impacts of anthropogenic noise on deep-sea ecosystems and take targeted measures to mitigate the human impact on the ocean soundscape,serving the goal of constructing a healthy ocean.This paper is based on the domestic and international research situation,reviewing the development of marine soundscape and deep-sea noise monitoring technology under the influence of human activities,introducing several international initiatives dedicated to marine noise monitoring and research,and calling for increased attention from relevant organizations and departments to the ocean soundscape.It also encourages the development of advanced technologies and the establishment of corresponding management frameworks.
关键词
海洋声景/海洋生态系统/人为噪声/噪声监测技术/深海/噪声污染Key words
ocean soundscape/marine ecosystem/anthropogenic noise/noise monitoring technology/deep sea/noise pollution引用本文复制引用
基金项目
科技部国家重点研发计划项目(2021YFC3101400)
深海技术科学太湖实验室揭榜挂帅项目(T7004-2022JBGS04001)
出版年
2024
NETL
NSTL
万方数据