机译:利用统计分析方法识别南海大亚湾沿岸水质
Key Laboratory of Tropical Marine Environmental Dynamics, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China Marine Biology Research Station at Daya Bay, Chinese Academy of Sciences, Shenzhen 518121, China;
rnKey Laboratory of Tropical Marine Environmental Dynamics, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China Marine Biology Research Station at Daya Bay, Chinese Academy of Sciences, Shenzhen 518121, China;
rnKey Laboratory of Tropical Marine Environmental Dynamics, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China Marine Biology Research Station at Daya Bay, Chinese Academy of Sciences, Shenzhen 518121, China;
rnScripps Institution of Oceanography, University of California, San Diego, CA 92093-0218, USA;
rnKey Laboratory of Tropical Marine Environmental Dynamics, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China;
rnKey Laboratory of Tropical Marine Environmental Dynamics, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China;
rnCollege of Chemistry, Shandong University, Jinan 265200, China;
principal component analysis; fuzzy logic approach; cluster analysis; trophic status; water quality; daya bay;
机译:南海大亚湾人为影响和季节性对水质的识别
机译:基于多元统计技术的浙北东海两个典型海湾沿海水质识别
机译:南海大亚湾水质和营养状况的季节性和空间变化
机译:华南大亚湾网箱养鱼场海水污染监测
机译:香港沿海水域和南中国海微生物食物网中的营养相互作用。
机译:南海大亚湾水质时空变化趋势调查
机译:Identification of coastal water quality by statistical analysis methods in Daya Bay, south China sea