摘要
对取自长江、黄河三角洲和东海230个表层沉积物样的重矿物资料进行人工神经网络分析。结果表明 ,东海外缘 (外陆架和冲绳海槽 )沉积物具有明显的分区特征 ,并与不同的物源影响密切相关。外陆架、陆坡和西部槽底的碎屑物主要来自长江 ;冲绳海槽中轴线以东主要受槽底火山和岛坡物源控制 ;黄河物源扩散的影响局部可达26°20′N线以北的陆架、陆坡和槽底区。
Detrital mineral data of230surface sediment samples in Changjiang River(Yangtze River)and Huanghe(Yellow River)Deltas,and Outer East China Sea were analysed by BP Artificial Neural Network.It shows that surface detrial sedˉiments in Outer East China Sea(including the outer shelf and the Okinawa Trough)are in three clear zones ralated to difˉferent provenances.Sediments on outer shelf,slope and Okinawa western trough bottom are derived mainly fromChangjiang River;these on the east side of the Okinawa axisline are from volcanogenic sources in Rgukyu Island Arc;and beyound north line of N20°20′,sediments on shelf.Slope and trough are from Huanghe River.
出处
《海洋科学》
CAS
CSCD
北大核心
2003年第11期75-80,共6页
Marine Sciences
基金
国家自然科学基金项目40076013号
关键词
BP神经网络
碎屑矿物
物源
东海
BP Neural Network Analysis,Detrial mineral,Sediment provenance,East China Sea
