Qiu Yaowen, Zhu Liangsheng, Li Jinrong, Liang Song, Qi Yuzao
South China Sea Institute of Oceanology, CAS, Guanzhou 510301, China.
Ying Yong Sheng Tai Xue Bao. 2003 Jul;14(7):1127-30.
The relationships between temporal dynamics of phytoplankton density and nutrients (NO3-, NH4+, PO4(3-), SiO3(2-), Fe) contents in the water body at Aotou waters of Daya Bay during red tide were comprehensively analysed based on the fixed position investigation of red tide in the summer of 2000 and the several years investigation data by using grey linear regression model. The relationships between phytoplankton cell density and chlorophyll a content were also analysed. The results showed that the predicted values were well consistent with the measurement values, and their correlation coefficients were between 0.51-0.83. Red tide might break out if chlorophyll a contents in water body were larger than 5.8 micrograms.dm-3. The study could provide a simple effective method to forecast red tide by sampling water samples to analyse chlorophyll a concentration, or using SeaWiFS data, and then, to calculating phytoplankton density. In addition, the primary productivity of the water areas was controlled by phosphorus.
基于2000年夏季赤潮定点调查及多年调查数据，运用灰色线性回归模型，综合分析了大亚湾澳头水域赤潮期间水体中浮游植物密度的时间动态与营养盐（NO3-、NH4+、PO4(3-)、SiO3(2-)、Fe）含量之间的关系。同时分析了浮游植物细胞密度与叶绿素a含量之间的关系。结果表明，预测值与实测值吻合良好，相关系数在0.51 - 0.83之间。当水体中叶绿素a含量大于5.8微克·立方分米-3时，可能爆发赤潮。该研究可为通过采集水样分析叶绿素a浓度或利用SeaWiFS数据进而计算浮游植物密度来预测赤潮提供一种简单有效的方法。此外，该水域的初级生产力受磷的控制。
