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学科主题: Marine & Freshwater Biology; Oceanography
题名: Monsoon-driven Dynamics of water quality by multivariate statistical methods in Daya Bay, South China Sea
作者: Wu, ML ; Wang, YS ; Sun, CC ; Sun, FL ; Cheng, H ; Wang, YT ; Dong, JD ; Wu, JF
通讯作者: yswang@scsio.ac.cn
关键词: Daya Bay ; water quality ; principal component analysis ; cluster analysis
刊名: OCEANOLOGICAL AND HYDROBIOLOGICAL STUDIES
发表日期: 2012
卷: 41, 期:4, 页:66-76
部门归属: [Wu, Mei-Lin; Wang, You-Shao; Sun, Cui-Ci; Sun, Fu-Lin; Cheng, Hao; Wang, Yu-Tu; Dong, Jun-De] Chinese Acad Sci, State Key Lab Trop Oceanog, S China Sea Inst Oceanol, Guangzhou 510301, Guangdong, Peoples R China; [Wang, You-Shao; Sun, Cui-Ci; Sun, Fu-Lin; Wang, Yu-Tu] Chinese Acad Sci, Daya Bay Marine Biol Res Stn, Shenzhen 518121, Peoples R China; [Wu, Jingfeng] Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Miami, FL 33149 USA
项目归属: LTO
摘要: Eleven physicochemical parameters of data collected from 12 stations in Daya Bay in 2003 were analyzed by multivariate statistical analysis. Cluster analysis (CA) grouped data from 4 seasons into two groups, the northeast and southwest monsoon periods, representing different natural processes. During the northeast monsoon period, principal component analysis (PCA) and CA group the 12 monitoring sites into Cluster DA1 (S1, S2 and S6) and Cluster DA2 (S3-S5 and S7-S12). During the southwest monsoon period, PCA and CA group the 12 monitoring sites into Cluster WB1 (S1, S2, S7, S9 and S11) and Cluster WB2 (S3-S6, S8, S10, S11 and S12). The spatial heterogeneity within the bay was defined by different hydrodynamic conditions and human activities. These results may be valuable for achieving sustainable use of the coastal ecosystems in Daya Bay.
语种: 英语
WOS记录号: WOS:000310753000008
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.scsio.ac.cn/handle/344004/10043
Appears in Collections:热带海洋环境国家重点实验室(LTO)_期刊论文

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Recommended Citation:
Wu, ML; Wang, YS; Sun, CC; Sun, FL; Cheng, H; Wang, YT; Dong, JD; Wu, JF.Monsoon-driven Dynamics of water quality by multivariate statistical methods in Daya Bay, South China Sea,OCEANOLOGICAL AND HYDROBIOLOGICAL STUDIES,2012,41(4):66-76
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