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学科主题: Oceanography
题名: Using chemometrics to identify water quality in Daya Bay, China
作者: Wu, ML ; Wang, YS ; Sun, CC ; Wang, HL ; Lou, ZP ; Dong, JD
通讯作者: yswang@scsio.ac.cn
关键词: Cluster analysis ; Robust principal component analysis ; Water quality ; Daya Bay (DYB) ; South China Sea
刊名: OCEANOLOGIA
发表日期: 2009
卷: 51, 期:2, 页:217-232
收录类别: sci
部门归属: [Wu, Mei-Lin; Wang, You-Shao; Sun, Cui-Ci; Lou, Zhi-Ping; Dong, Jun-De] Chinese Acad Sci, S China Sea Inst Oceanol, Key Lab Trop Marine Environm Dynam, Guangzhou 510301, Guangdong, Peoples R China; [Wang, Haili] Univ Calif San Diego, Scripps Inst Oceanog, San Diego, CA 92093 USA
项目归属: LED
摘要: In this paper, chemometric approaches based on cluster analysis, classical and robust principal component, analysis were employed to identify water quality in Daya Bay (DYB), China. The results show that these approaches divided water quality in DYB into two groups: stations S3, S8, S10 and S11 belong to Cluster A, which lie in Dapeng Cove, Aotou Harbor and the north-eastern part of DYB, where water quality is related mainly to anthropogenic activities. The other stations belong to cluster B, which lie in the southern, central and eastern parts of DYB, where the quality is related mainly to water exchange with the South China Sea. Cluster analysis yields good results as a first exploratory method for evaluating spatial difference, but it fails to demonstrate the relationship between variables and environmental quality on the one hand and the untreated data on the. other. However, with the aid of suitable chemometric approaches, the relationship between samples or variables can be investigated. Classical and robust principal component analysis can provide a visual aid for identifying the water environment in DYB, and then extracting specific information about relationships between variables and spatial variation trends in water quality.
原文出处: 查看原文
WOS记录号: WOS:000267789400005
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内容类型: 期刊论文
URI标识: http://ir.scsio.ac.cn/handle/344004/6099
Appears in Collections:热带海洋环境动力实验室(LTO)_期刊论文

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Wu, ML; Wang, YS; Sun, CC; Wang, HL; Lou, ZP; Dong, JD.Using chemometrics to identify water quality in Daya Bay, China,OCEANOLOGIA,2009,51(2):217-232
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