DOC遥感研究进展——基于全球大河DOC与CDOM保守性特征

潘德炉; 刘琼; 白雁

DOC遥感研究进展——基于全球大河DOC与CDOM保守性特征

1.
国家海洋局第二海洋研究所, 浙江杭州 310012
2.
国家海洋局第二海洋研究所, 浙江杭州 310012;武汉大学测绘遥感信息工程国家重点实验室, 湖北武汉 430079

基金项目: 国家重点基础研究发展计划项目(2009CB421202);海洋公益性行业科研专项项目(200905012);国家自然科学基金项目(40706061);国家高技术研究发展计划(2008AA09Z104)资助。

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出版历程
- 收稿日期: 2012-04-10
- 修回日期: 2012-05-06

Progress in remote sensing of DOC: based on the analysis of conservative behaviors of DOC and CDOM in global large rivers estuaries

1.
The Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China
2.
The Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China;State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

摘要

摘要: 目前,溶解有机碳(DOC)遥感反演研究主要集中在河口及陆源影响较大的边缘海区,大多数是利用DOC与有色溶解有机物(CDOM)或DOC与盐度的经验关系获取。为了较好的理解DOC的遥感反演机理,收集了全球主要大河(流量排名前25中16条)及边缘海DOC与CDOM浓度与保守性分布状况,发现大多数河口CDOM呈现保守性分布,DOC呈现非保守性分布。基于DOC与CDOM保守性行为的主要影响因素分析以及研究海区的生物地球化学特征,论述了DOC遥感反演算法的研究进展,提出了DOC遥感反演需要考虑DOC受不同主要控制因素(如保守混合与生物作用等)的影响,并对这些控制因素进行量化。
- 溶解有机碳 /
- 有色溶解有机物 /
- 遥感反演 /
- 河口 /
- 边缘海
Abstract: The primary way to retrieve dissolved organic carbon (DOC) from satellite is taking the absorption coefficient of dissolved organic matter (aCDOM) as a proxy based on its empirical relationship with DOC. Most researches on the remote sensing of DOC focused on the estuaries and river-dominated coastal oceans. In order to understand the mechanisms of DOC remote sensing, we collected the data from estuaries of global large rivers (16 in the top 25 global large rivers according to their discharge). It has been found that aCDOM behaves conservatively in most of the estuaries with salinity, while DOC usually shows a non-conservative behavior. Focusing on the analysis of the mechanisms and processes influencing the mixing behaviors of DOC and aCDOM, we discussed the progress of the remote sensing of DOC. Finally, we suggested that the factors influencing the DOC and aCDOM relationship should be considered and quantified based on the local biogeochemical characteristics.
- dissolved organic carbon /
- colored dissolved organic matter /
- estuaries /
- coastal oceans /
- DOC remote sensing

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