摘要
利用 2 0 0 0年大亚湾澳头海域赤潮定点连续调查资料及其多年现场调查资料 ,采用灰色回归模型 ,综合分析赤潮发生过程水体中浮游植物细胞密度与营养物质 (NO3 -、NH4+ 、PO43 -、SiO3 2 -、Fe)的时间变化率关系 ,分析了叶绿素a含量与浮游植物细胞密度相互关系 .结果表明 ,预测值与实测基值本一致 ,复相关系数范围在 0 .5 1～ 0 .83.当水体叶绿素浓度为 5 .8μg·dm-3 ,预示可能发生赤潮 .通过采样分析水体叶绿素a含量或利用水色卫星遥感资料反演水体叶绿素浓度 ,计算浮游植物细胞密度 ,为赤潮的预测预报提供简便有效的方法 .此外 。
The relationships between temporal dynamics of phytoplankton density and nutrients (NO 3 -,NH 4 +,PO 4 3-,SiO 3 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 μg·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.
出处
《应用生态学报》
CAS
CSCD
2003年第7期1127-1130,共4页
Chinese Journal of Applied Ecology
基金
国家重点基础研究发展规划项目 ( 2 0 0 1CB40 970 6)
中国科学院大亚湾海洋生物实验开放站基金 (S2 0 0 2 10 )
国家自然科学基金重大资助项目 ( 3 979110 0 3 ) .
