首页 | 本学科首页   官方微博 | 高级检索  
     

大亚湾澳头增养殖区赤潮与环境的关系研究 Ⅰ.浮游植物总生物量与环境因子的关系
引用本文:吴京洪,杨秀环,唐宝英,李锦蓉,张展霞. 大亚湾澳头增养殖区赤潮与环境的关系研究 Ⅰ.浮游植物总生物量与环境因子的关系[J]. 中山大学学报(自然科学版), 2001, 40(3): 37-40
作者姓名:吴京洪  杨秀环  唐宝英  李锦蓉  张展霞
作者单位:1. 中山大学化学与化学工程学院,
2. 国家海洋局南海监测中心,
基金项目:国家自然科学基金重大资助项目(3979011003)
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,采用语差反向传播人工神经网络模型,研究了游游植物总生理量与理化,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。

关 键 词:赤潮  环境因子  浮游植物生物量  人工神经网络
文章编号:0529-6579(2001)03-0037-04
修稿时间:2000-09-12

The Research of the Relation Between Red Tide and Environmental Factors in Aotou, Daya Bay
WU Jing-hong,YANG Xiu-huan,TANG Bao-ying,LI Jin-rong,ZHANG Zhan-xia. The Research of the Relation Between Red Tide and Environmental Factors in Aotou, Daya Bay[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2001, 40(3): 37-40
Authors:WU Jing-hong  YANG Xiu-huan  TANG Bao-ying  LI Jin-rong  ZHANG Zhan-xia
Affiliation:WU Jing_hong 1,YANG Xiu_huan 1,TANG Bao_ying 1,LI Jin_rong 2,ZHANG Zhan_xia 1
Abstract: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.
Keywords:algae bloom  environmental factors  biomass of phytoplankton  artificial neural network
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号