Dong, ZJ; Liu, DY
; Wang, YJ; Di, BP发表期刊AQUATIC ECOSYSTEM HEALTH & MANAGEMENT
ISSN1463-4988
2019-01-02
卷号22期号:1页码:30-39
关键词multivariate techniqueschemometricsYantai
研究领域Ecology; Environmental Sciences; Marine & Freshwater Biology; Water Resources
DOI10.1080/14634988.2018.1525264
产权排序[Dong, Zhijun; Liu, Dongyan; Wang, Yujue; Di, Baoping] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Muping Coastal Environm Res Stn, Yantai 264003, Peoples R China
通讯作者Dong, Zhijun(zjdong@yic.ac.cn)
作者部门中国科学院牟平海岸带环境综合试验站
英文摘要Different chemometric approaches were used to determine generic patterns in the temporal and spatial variations in the coastal water quality of the northern Yellow Sea off Yantai, China. Hierarchical cluster analysis grouped the 16 months into two periods (i.e. March-October and November-February), reflecting strong seasonality in the data, and grouped the 12 sampling sites into two clusters (i.e. outside Yantai Bay and inside Yantai Bay), based on similarities in water quality characteristics. Discriminant analysis gave the best results for data complexity reduction during temporal analysis, but not during spatial analysis. Discriminant analysis identified five significant parameters (water temperature, salinity, and concentrations of dissolved inorganic nitrogen, dissolved inorganic phosphate and dissolved silicate) affording about 97.9% correct assignations in temporal analysis. In addition, principal component analysis identified three varifactors that explained 71% of temporal changes in the coastal water quality data set. Overall, the present study showed that these multivariate statistic methods were effective for evaluating temporal and spatial variations in the coastal water quality of Yantai. Water temperature and nutrient inputs may be major driving factors for the trophic status of these coastal waters. Low variances in spatial patterns of water quality parameters of Yantai were mostly related to the unrestricted water exchange between Sishili Bay and the Yellow Sea.
文章类型Article
资助机构Knowledge Innovation Research Project of Chinese Academy of Sciences [KZCX2-YW-Q07-04]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China [41576152]
收录类别SCI
语种英语
关键词[WOS]MULTIVARIATE STATISTICAL TECHNIQUES; GOMTI RIVER INDIA; DAYA BAY; IDENTIFICATION; BLOOM
研究领域[WOS]Ecology; Environmental Sciences; Marine & Freshwater Biology; Water Resources
WOS记录号WOS:000474012900003
引用统计被引频次：5[WOS][WOS记录][WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/25005
专题支撑部门_中国科学院牟平海岸带环境综合试验站
中科院海岸带环境过程与生态修复重点实验室_海岸带环境过程实验室
中科院海岸带环境过程与生态修复重点实验室
作者单位Chinese Acad Sci, Yantai Inst Coastal Zone Res, Muping Coastal Environm Res Stn, Yantai 264003, Peoples R China
推荐引用方式
GB/T 7714Dong, ZJ,Liu, DY,Wang, YJ,et al. Temporal and spatial variations of coastal water quality in Sishili Bay, northern Yellow Sea of China[J]. AQUATIC ECOSYSTEM HEALTH & MANAGEMENT,2019,22(1):30-39.
APADong, ZJ,Liu, DY,Wang, YJ,&Di, BP.(2019).Temporal and spatial variations of coastal water quality in Sishili Bay, northern Yellow Sea of China.AQUATIC ECOSYSTEM HEALTH & MANAGEMENT,22(1),30-39.
MLADong, ZJ,et al."Temporal and spatial variations of coastal water quality in Sishili Bay, northern Yellow Sea of China".AQUATIC ECOSYSTEM HEALTH & MANAGEMENT 22.1(2019):30-39.
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