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走航式海洋观测平台设计及其初步应用*
引用本文:孙兆华,曹文熙,黄健龙,周璇,李晓伟,邹国旺.走航式海洋观测平台设计及其初步应用*[J].热带海洋学报,2018,37(5):13-19.
作者姓名:孙兆华  曹文熙  黄健龙  周璇  李晓伟  邹国旺
作者单位:1. 中国科学院边缘海与大洋地质重点实验室(南海海洋研究所), 广东 广州 5103012. 热带海洋环境国家重点实验室(中国科学院南海海洋研究所), 广东 广州 510301;
基金项目:国家自然科学基金青年科学基金项目(41406205);国家海洋公益性行业科研专项(201305019);中国科学院南海海洋研究所所拨特聘研究员项目(Y4SL021001);广东省科技计划项目(2017B010118004)
摘    要:缺乏现场海洋观测数据是限制我们进一步认识海洋的瓶颈之一。文章设计了具备远程遥测功能的全自动海洋监测平台, 该平台无人值守、采用走航观测方式自动获取长时间序列海洋监测数据。此研究还对该平台进行了近海和远洋走航共两次验证测试。结果表明, 该平台稳定可靠、兼容性好, 走航数据符合所监测水域的水体特征, 可用于探讨相关参数的变化特征, 揭示事件和过程的机制机理。如果将该平台搭载于轮渡、渔船等非科考船, 则可以在现有海洋技术条件下, 高效地获取更大的空间和时间尺度的实时大数据, 为解决海洋观测数据缺乏的问题, 提供一种技术手段。

关 键 词:环境监测  水质监测  船载走航观测  海洋观测  
收稿时间:2018-01-04
修稿时间:2018-03-25

Design and application of ship-borne marine-monitoring platform
Zhaohua SUN,Wenxi CAO,Jianlong HUANG,Xuan ZHOU,Xiaowei LI,Guowang ZOU.Design and application of ship-borne marine-monitoring platform[J].Journal of Tropical Oceanography,2018,37(5):13-19.
Authors:Zhaohua SUN  Wenxi CAO  Jianlong HUANG  Xuan ZHOU  Xiaowei LI  Guowang ZOU
Institution:1. CAS Key Laboratory of Ocean and Marginal Sea Geology, South China Sea Institute of Oceanology, Guangzhou 510301, China2. State Key Laboratory of Tropics Oceanography (South China Sea Institute of Oceanology, Chinese Academy of Sciences), Guangzhou 510301, China;
Abstract:The lack of ocean observation data is a bottleneck, which limits our capability to study and explore oceans. We designed a fully-automatic marine-monitoring platform with the remote-telemetry function, which also can auto-obtain ship-borne long time series marine monitoring data. We tested the fully-automatic marine-monitoring platform two times in coastal water and open ocean, which was stable, reliable and compatible according to the data analyzed. The data showed relevant parameters’ changes and revealed mechanisms of relevant ocean events and processes. We expect to popularize the platform on ferries, fishing boats/ships and other non-scientific ships, which utilize existing routes and ship-borne observation method to obtain cost-effective and real-time big data on both wide spatial scale and long time series. Based on the present marine technology, it is a new technical solution to the problems of lacking oceanographic data.
Keywords:environmental monitoring  water quality monitoring  ship-borne  oceanographic observation  
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