共 32 条
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.
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页码:1939 / 1947
页数:9
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