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珠江口浮游植物爆发期间颗粒有机碳的变化及其与生物光学特性的关系。

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

机构信息

State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, PR China.

出版信息

Mar Pollut Bull. 2011 Sep;62(9):1939-47. doi: 10.1016/j.marpolbul.2011.07.003. Epub 2011 Jul 26.

Abstract

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°E, 22.06°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 bio-optical 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.

摘要

在这项研究中,监测了珠江口一个站位(114.29°E,22.06°N)在浮游植物水华事件期间的颗粒有机碳(POC)变化,并跟踪了相应的生物光学特性变化。在水华期间,POC 增加了 10 多倍(112.29-1173.36mgm⁻³),叶绿素 a 浓度(Chl-a)从 0.984 变化到 25.941mgm⁻³。使用幂律函数描述 POC 和 Chl-a 之间的关系,并且 POC:Chl-a 比值往往随 Chl-a 呈反比变化。使用 Sathyendranath 等人提出的概念模型间接估计浮游植物碳浓度(2009),发现该碳对总 POC 的贡献为 47.21%(±10.65%)。在硅藻占主导地位的水域中,浮游植物的碳/叶绿素比被发现与文献中的结果相当。根据这些变量与蓝/绿反射比的关系,开发了用于确定 Chl-a 和 POC 浓度的经验算法。利用这些生物光学模型,可以根据海洋光学浮标测量的辐射数据预测颗粒有机碳和 Chl-a 的水平,这为该水华事件期间生物地球化学参数的变化提供了更详细的信息。

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