引用本文:	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.

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基于光学传感器在南黄海硝酸盐调查中的使用初探
潘俊^1,2,3, 于非^1,2,3,4, 任强¹, 魏传杰¹, 李靖⁵
1.中国科学院海洋研究所环境工程中心;2.中国科学院大学;3.中国科学院海洋大科学研究中心;4.青岛海洋科学与技术国家实验室海洋动力过程与气候功能实验室;5.中国科学院海洋研究所中国科学院海洋生态与环境科学重点实验室

摘要:

南黄海海域中营养物质影响生物地球化学循环过程, 为了加强对此过程的机制与速率的认识,本文利用新型硝酸盐传感器(Submersible Ultraviolet Nitrate Analyzer, SUNA)在2016年5、6月开展南黄海硝酸盐调查, 进行了实验室标定、现场调查及后续数据处理改进等工作。讨论了其在南黄海使用的可靠性, 综合考虑了南黄海典型的温-盐结构特征及苏北浅滩的高浊度对SUNA 测定结果的影响, 较深入地分析了温度-盐度校正、浊度的影响等方面。测定结果表明, 在实验海域中修正后的硝酸盐数据与采用国家标准的传统方法的同步观测结果具有良好的线性关系, 相关性达到0.9以上, SUNA可在苏北浅滩等浊度较高的海域中使用。

关键词: 南黄海硝酸盐传感器

DOI：10.11759/hykx20170510001

分类号:

基金项目:中国科学院战略性先导科技专项(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);国家自然科学基金项目(41376031, U1406401)

Reliability analysis of spatial and temporal nitrate variations estimated by SUNA in the South Yellow Sea

PAN Jun,YU Fei,REN Qiang,WEI Chuan-jie,LI Jing

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 laboratory calibration, field investigation, and follow-up data processing improvement by temperature and salinity correction and other aspects of the analysis. In other words, comparing the results of the traditional method of the synchronous 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.

Key words: South Yellow Sea Nitrate SUNA