摘要
根据大亚湾澳头海域增养殖区 1997- 1999年的赤潮监测数据 ,采用误差反向传播人工神经网络模型 ,研究了浮游植物总生物量与理化、气象等环境因子的关系 .结果表明 ,水温、盐度、磷酸盐、无机氮、铁、锰、硒、钴、风速、风向等因子影响较大 ,为准确预测赤潮 ,选取合理的预报指标提供依据 .
The relation between the total biomass of red tide phytoplankton and the environmental factors such as physico_chemical and meteorological factors was investigated based on the observing data of Aotou habor,Daya Bay from 1997 to 1999 by using back_propaganda artificial neural network model. The results showed that water temperature, salinity, phosphate, inorganic nitrogen, Fe, Mn, Se, Co, wind speed and wind direction are mainly influential factors of the total biomass,they are the reasonable basis in the prediction of the occurrence of red tide accurately and efficiently.
出处
《中山大学学报(自然科学版)》
CAS
CSCD
北大核心
2001年第3期37-40,共4页
Acta Scientiarum Naturalium Universitatis Sunyatseni
基金
国家自然科学基金!重大资助项目 (39790 110 0 3)
关键词
赤潮
环境因子
浮游植物生物量
人工神经网络
algae bloom
environmental factors
biomass of phytoplankton
artificial neural network