中国科学院南海海洋研究所机构知识库
Advanced  
SCSIO OpenIR  > 热带海洋环境国家重点实验室(LTO)  > 期刊论文
学科主题: Environmental Sciences; Marine & Freshwater Biology
题名: Identification of coastal water quality by statistical analysis methods in Daya Bay, South China Sea
作者: Wu, ML ; Wang, YS ; Sun, CC ; Wang, HL ; Dong, JD ; Yin, JP ; Han, SH
通讯作者: yswang@scsio.ac.cn
关键词: Principal component analysis ; Fuzzy logic approach ; Cluster analysis ; Trophic status ; Water quality ; Daya Bay
刊名: MARINE POLLUTION BULLETIN
发表日期: 2010
卷: 60, 期:6, 页:852-860
收录类别: sci
部门归属: [Wu, Mei-Lin; Wang, You-Shao; Sun, Cui-Ci; Dong, Jun-De; Yin, Jian-Ping] Chinese Acad Sci, S China Sea Inst Oceanol, Key Lab Trop Marine Environm Dynam, Guangzhou 510301, Guangdong, Peoples R China; [Wu, Mei-Lin; Wang, You-Shao; Sun, Cui-Ci] Chinese Acad Sci, Marine Biol Res Stn Daya Bay, Shenzhen 518121, Peoples R China; [Wang, Haili] Univ Calif San Diego, Scripps Inst Oceanog, San Diego, CA 92093 USA; [Han, Shu-Hua] Shandong Univ, Coll Chem, Jinan 265200, Peoples R China
项目归属: LED
摘要: In this paper, cluster analysis (CA), principal component analysis (PCA) and the fuzzy logic approach were employed to evaluate the trophic status of water quality for 12 monitoring stations in Daya Bay in 2003. CA grouped the four seasons into four groups (winter, spring, summer and autumn) and the sampling sites into two groups (cluster DA: S1, S2, S4-S7, S9 and S12 and cluster DB: S3, S8, S10 and S11). PCA identified the temporal and spatial characteristics of trophic status in Daya Bay. Cluster DB, with higher concentrations of TP and DIN, is located in the western and northern parts of Daya Bay. Cluster DA, with the low Secchi, is located in the southern and eastern parts of Daya Bay. The fuzzy logic approach revealed more information about the temporal and spatial patterns of the trophic status of water quality. Chlorophyll a, TP and Secchi may be major factors for deteriorating water quality. (C) 2010 Elsevier Ltd. All rights reserved.
原文出处: 查看原文
WOS记录号: WOS:000279798800017
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.scsio.ac.cn/handle/344004/6273
Appears in Collections:热带海洋环境动力实验室(LTO)_期刊论文

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
Identification of coastal water quality by statistical analysis methods in Daya Bay, South China Sea.pdf(763KB)----开放获取--View Download

Recommended Citation:
Wu, ML; Wang, YS; Sun, CC; Wang, HL; Dong, JD; Yin, JP; Han, SH.Identification of coastal water quality by statistical analysis methods in Daya Bay, South China Sea,MARINE POLLUTION BULLETIN,2010,60(6):852-860
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Wu, ML]'s Articles
[Wang, YS]'s Articles
[Sun, CC]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Wu, ML]‘s Articles
[Wang, YS]‘s Articles
[Sun, CC]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: Identification of coastal water quality by statistical analysis methods in Daya Bay, South China Sea.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2018  中国科学院南海海洋研究所 - Feedback
Powered by CSpace