Variation of particulate organic carbon and its relationship with bio-optical properties during a phytoplankton bloom in the Pearl River estuary

被引:45
|
作者
Wang, Guifen [1 ]
Zhou, Wen [1 ]
Cao, Wenxi [1 ]
Yin, Jianping [1 ]
Yang, Yuezhong [1 ]
Sun, Zhaohua [1 ]
Zhang, Yuanzhi [2 ]
Zhao, Jun [3 ]
机构
[1] Chinese Acad Sci, State Key Lab Trop Oceanog, S China Sea Inst Oceanol, Guangzhou 510301, Guangdong, Peoples R China
[2] Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Shatin, Hong Kong, Peoples R China
[3] Univ S Florida, Coll Marine Sci, St Petersburg, FL 33701 USA
基金
中国国家自然科学基金;
关键词
Particulate organic carbon; Phytoplankton bloom; Bio-optical properties; Pearl River estuary; GULF-OF-MEXICO; CHLOROPHYLL RATIO; NATURAL PHYTOPLANKTON; EQUATORIAL PACIFIC; OPTICAL-PROPERTIES; ALGAL BLOOM; UPPER OCEAN; ATLANTIC; MATTER; WATERS;
D O I
10.1016/j.marpolbul.2011.07.003
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this study, variations in the particulate organic carbon (POC) were monitored during a phytoplankton bloom event, and the corresponding changes in bio-optical properties were tracked at one station (114.29 degrees E, 22.06 degrees N) located in the Pearl River estuary. A greater than 10-fold increase in POC (112.29-1173.36 mg m(-3)) was observed during the bloom, with the chlorophyll a concentration (Chl-a) varying from 0.984 to 25.941 mg m(-3). A power law function is used to describe the relationship between POC and Chl-a, and the POC:Chl-a ratio tends to change inversely with Chl-a. Phytoplankton carbon concentration is indirectly estimated using the conceptual model proposed by Sathyendranath et al. (2009), and this carbon is found to contribute 47.21% ( +/- 10.65%) to total POC. The estimated carbon-to-chlorophyll ratio of phytoplankton in diatom-dominated waters is found to be comparable with results reported in the literature. Empirical algorithms for determining the concentrations of Chl-a and POC were developed based on the relationships of these variables with the blue-to-green reflectance ratio. With these biooptical models, the levels of particulate organic carbon and Chl-a could be predicted from the radiometric data measured by a marine optical buoy, which showed much more detailed information about the variability in biogeochemical parameters during this bloom event. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1939 / 1947
页数:9
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