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海洋水声环境敏感区诊断与适应性观测研究进展
引用本文:笪良龙,过武宏,崔宝龙,刘敬一.海洋水声环境敏感区诊断与适应性观测研究进展[J].应用声学,2019,38(4):553-561.
作者姓名:笪良龙  过武宏  崔宝龙  刘敬一
作者单位:海军潜艇学院 青岛 #$NL 青岛海洋科学与技术试点国家实验室海洋军民融合联合实验室 青岛,海军潜艇学院 青岛 #$NL 青岛海洋科学与技术试点国家实验室海洋军民融合联合实验室 青岛,海军潜艇学院 青岛 #$NL 青岛海洋科学与技术试点国家实验室海洋军民融合联合实验室 青岛,海军潜艇学院 青岛 #$NL 青岛海洋科学与技术试点国家实验室海洋军民融合联合实验室 青岛
摘    要:传统的海洋水声环境观测通常是大范围的随机观测,缺少针对性,非常时期观测平台在交战海区实施系统观测困难,如何利用有限的观测资源获取有效的观测数据提高观测效率是目前亟需解决的问题。本文提出海洋声学敏感区诊断与适应性观测概念,介绍了相关研究进展,该项研究有助于我们改进目前传统的观测系统设计,提高观测网建设效益,根据敏感区位置,可建立移动的补充观测系统开展适应性观测,从而发展我国新型的海洋观测体系,为改善海洋水声环境预报质量提供有效观测数据。

关 键 词:水声环境  敏感区诊断  适应性观测
收稿时间:2019/2/15 0:00:00
修稿时间:2019/6/29 0:00:00

Ocean acoustic sensitive region diagnose and adaptive observation
DA Lianglong,Guo Wuhong,Cui Baolong and Liu Jingyi.Ocean acoustic sensitive region diagnose and adaptive observation[J].Applied Acoustics,2019,38(4):553-561.
Authors:DA Lianglong  Guo Wuhong  Cui Baolong and Liu Jingyi
Institution:Navy Submarine Academy,Joint Laboratory for Marine Civil-Military Integration of Pilot National Laboratory for Marine Science and Technology;Navy Submarine Academy,Joint Laboratory for Marine Civil-Military Integration of Pilot National Laboratory for Marine Science and Technology;Navy Submarine Academy and Joint Laboratory for Marine Civil-Military Integration of Pilot National Laboratory for Marine Science and Technology;Navy Submarine Academy
Abstract:As the traditional acoustic environment observation is not targeted, and hard to be applied in some times, how to utilize the limited observation resource to obtain valuable data and improve the observation efficiency is an urgent problem to be solved. This paper presents the concept of ocean acoustic sensitive region diagnose and adaptive observation, the related research progress is introduced. According to this research, we can greatly improve the traditional observation system design, enhance the observation network construction efficiency and with the location reference of the sensitive region, construct mobile supplementary observation system and command system. Accordingly, our new oceanic observation system can be built up, which can provide valid observation data to decrease the uncertainty in the underwater acoustic environment.
Keywords:Acoustic  environment  Sensitive  region diagnose  Adaptive  observation
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