State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, PR China.
Mar Pollut Bull. 2011 Sep;62(9):1939-47. doi: 10.1016/j.marpolbul.2011.07.003. Epub 2011 Jul 26.
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.
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。