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DOI | 10.1007/s12665-018-7266-0 |
Multivariate statistical and trend analyses of surface water quality in the central Indian River Lagoon area, Florida | |
Sayemuzzaman, Mohammad; Ye, Ming; Zhang, Fan; Zhu, Mingming | |
通讯作者 | Ye, M (通讯作者) |
发表日期 | 2018 |
ISSN | 1866-6280 |
EISSN | 1866-6299 |
卷号 | 77期号:4 |
英文摘要 | The Indian River Lagoon (IRL) estuary system is of concern to environmental scientists, because its water quality has been deteriorating in the past several decades. To understand spatial variability and temporal changes of surface water quality in the central IRL area, cluster analysis, principle component analysis, and nonparametric trend analysis were conducted for a dataset of 27,648 observations, collected for twelve parameters of surface water quality over the period of 1998-2013 at twelve monitoring stations. The cluster analysis separated the data into four groups, which are closely related to the locations of the monitoring stations. The principal component analysis was applied to each of the four groups to determine the important water quality parameters. In each group, five principal components explain 75-85% of the total data variance, and the components include the following water quality parameters: nutrient species (nitrogen and phosphorus), physicochemical parameters (salinity, specific conductivity, pH, and DO), and erosion factors (total suspended solids and turbidity). Statistically significant trends in these water quality parameters were detected by applying the Mann-Kendall trend test, and abrupt trend shifts were detected by applying the sequential Mann-Kendall trend test. The trends and trend shifts are attributed to land use changes, projects of lagoon restoration, and the 2006 drought conditions in the study area. The results of this study can be of direct use to management projects for improving surface water quality at the central IRL area. |
关键词 | PRINCIPAL COMPONENT ANALYSISNORTH-CAROLINAUNITED-STATESSOUTH FLORIDAVARIABILITYTESTSBASIN |
英文关键词 | Mann-Kendall test; Sequential Mann-Kendall test; Nutrient concentration; Land use; Septic tanks; Drought |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Water Resources |
WOS类目 | Environmental Sciences ; Geosciences, Multidisciplinary ; Water Resources |
WOS记录号 | WOS:000426755300003 |
来源期刊 | ENVIRONMENTAL EARTH SCIENCES
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来源机构 | 中国科学院青藏高原研究所 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/259287 |
推荐引用方式 GB/T 7714 | Sayemuzzaman, Mohammad,Ye, Ming,Zhang, Fan,et al. Multivariate statistical and trend analyses of surface water quality in the central Indian River Lagoon area, Florida[J]. 中国科学院青藏高原研究所,2018,77(4). |
APA | Sayemuzzaman, Mohammad,Ye, Ming,Zhang, Fan,&Zhu, Mingming.(2018).Multivariate statistical and trend analyses of surface water quality in the central Indian River Lagoon area, Florida.ENVIRONMENTAL EARTH SCIENCES,77(4). |
MLA | Sayemuzzaman, Mohammad,et al."Multivariate statistical and trend analyses of surface water quality in the central Indian River Lagoon area, Florida".ENVIRONMENTAL EARTH SCIENCES 77.4(2018). |
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