海洋科学2017，Vol.41Issue(12)：9-16,8.DOI:10.11759/hykx20170510001
基于光学传感器在南黄海硝酸盐调查中的使用初探
Reliability analysis of spatial and temporal nitrate variations estimated by SUNA in the South Yellow Sea
摘要
Abstract
To more fully understand the mechanism and rate of the effects of nutrients on the biogeochemical cycle in the Southern Yellow Sea, the spatial and temporal distributions of nitrate were analyzed through field surveys by SUNA and the traditional method in the Southern Yellow Sea (SYS) during green tide occurrences in 2016. The reliability of SUNA was then discussed in terms of temperature, salinity, and turbidity. This research used labora-tory calibration, field investigation, and follow-up data processing improvement by temperature and salinity correc-tion and other aspects of the analysis. In other words, comparing the results of the traditional method of the syn-chronous observation data and turbidity, the correlation of SUNA and SKALAR has a good linear relationship. Therefore, SUNA can be used as a useful tool in the South Yellow Sea, particularly in the Subei coastal area.关键词
南黄海/硝酸盐/传感器Key words
South Yellow Sea/Nitrate/SUNA分类
海洋科学引用本文复制引用
潘俊,于非,任强,魏传杰,李靖..基于光学传感器在南黄海硝酸盐调查中的使用初探[J].海洋科学,2017,41(12):9-16,8.基金项目
中国科学院战略性先导科技专项(XDA11020301) （XDA11020301）
鳌山科技创新计划项目"近海生态灾害发生机理与防控策略"(2016ASKJ02-04) （2016ASKJ02-04）
国家自然科学基金项目(41376031,U1406401) Strategic Priority Research Program of the Chinese Academy of Sciences,No.XDA11020301 （41376031,U1406401）
Science and technology innovation pro-ject,No.2016ASKJ02-04 （）
National Natural Science Foundation of China,No.41376031,U1406401 （）
