Temporal and spatial variations of coastal water quality in Sishili Bay, northern Yellow Sea of China | |
Dong, ZJ; Liu, DY![]() ![]() ![]() | |
发表期刊 | AQUATIC ECOSYSTEM HEALTH & MANAGEMENT
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ISSN | 1463-4988 |
2019-01-02 | |
卷号 | 22期号:1页码:30-39 |
关键词 | multivariate techniques chemometrics Yantai |
研究领域 | Ecology ; Environmental Sciences ; Marine & Freshwater Biology ; Water Resources |
DOI | 10.1080/14634988.2018.1525264 |
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 | |
文献类型 | 期刊论文 |
条目标识符 | http://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 中国科学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 中国科学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 7714 | Dong, 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. |
APA | Dong, 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. |
MLA | Dong, 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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