极地研究

极地研究 ›› 2020, Vol. 32 ›› Issue (4): 523-532.DOI: 10. 13679/j.jdyj.20190073

• 研究论文 • 上一篇    下一篇

极区冰下温盐剖面实时观测系统设计与应用

王德亮,张素伟   

  1. 宜昌测试技术研究所, 湖北 宜昌443003

  • 收稿日期:2019-12-24 修回日期:2020-05-27 出版日期:2020-12-30 发布日期:2020-12-24
  • 通讯作者: 王德亮

Design and application of a real-time temperature and salinity profile observation system under ice for polar regions

Wang Deliang, Zhang Suwei   

  1. Yichang Testing Technique Research Institute, Yichang 443003, China

  • Received:2019-12-24 Revised:2020-05-27 Online:2020-12-30 Published:2020-12-24

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摘要：

极区冰下温盐剖面的观测是极区海洋环境监测的重要方面。大量浮冰的存在是极区海洋环境的主要特点, 常规的Argo浮标、水下滑翔机等海洋观测设备无法透过冰层完成定位和卫星通信传输, 这也是极区冰下温盐剖面资料数量少、时空不连续的主要原因。为实现对极区浮冰下0~200 m深度范围进行温盐剖面观测, 基于国产HM2000型剖面浮标进行改进设计, 增加冰面通信设备、锚系平台等设备, 组成温盐剖面实时观测系统。研制过程中突破感应耦合通信关键技术, 创新性地建立岸站控制中心—冰面通信中继—冰下剖面浮标的双向通信链路。本系统于2018年8月在中国第9次北极科学考察任务中顺利完成布放和应用。

关键词:

极区 , Argo剖面浮标 , HM2000剖面浮标 , 实时观测

Abstract:

The observation of temperature and salinity profiles under ice is an important aspect of polar marine environmental monitoring. The large number of ice floes is the main feature of the polar ocean environment. Conventional ocean observation equipment such as Argo buoys and underwater gliders cannot fixed positions and transfer satellite observations under the ice, which is also the main reason for the relative scarcity of temperature and salinity profile data and space–time discontinuity in the polar regions. To observe temperature and salinity profiles in the depth range of 0–200 m under the ice, we developed a real-time observation system based on the domestic HM2000 profiling buoy, which integrated the ice surface communication equipment and anchor platform. A breakthrough was achieved in the key technology of inductive coupling communication, and a two-way communication link between the shore station and profile buoy was established. In August 2018, the system was successfully deployed and applied in the ninth Arctic scientific expedition of China.

Key words:

"> polar region, Argo profiling buoy, HM2000 profiling buoy, real-time observation