CCPortal
DOI10.1007/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
ISSN1866-6280
EISSN1866-6299
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
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).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Sayemuzzaman, Mohammad]的文章
[Ye, Ming]的文章
[Zhang, Fan]的文章
百度学术
百度学术中相似的文章
[Sayemuzzaman, Mohammad]的文章
[Ye, Ming]的文章
[Zhang, Fan]的文章
必应学术
必应学术中相似的文章
[Sayemuzzaman, Mohammad]的文章
[Ye, Ming]的文章
[Zhang, Fan]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。