Evaluation of spatial-temporal variations and trends in surface water quality across a rural-suburban-urban interface

doi:10.1007/s11356-014-2716-z

科研成果详情

题名	Evaluation of spatial-temporal variations and trends in surface water quality across a rural-suburban-urban interface
作者	Mei, Kun1; Liao, Lingling 1; Zhu, Yuanli 2; Lu, Ping 1; Wang, Zhenfeng1; Dahlgren, Randy A.1,3; Zhang, Minghua1,3
发表日期	2014-07
发表期刊	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 影响因子和分区
语种	英语
原始文献类型	Article
关键词	Water quality Statistical analysis GIS Spatial analysis Land use Trend analysis
其他关键词	MULTIVARIATE STATISTICAL TECHNIQUES ; RIVER-BASIN ; LAND-USE ; HEAVY-METALS ; APPORTIONMENT ; POLLUTION ; OREGON
摘要	Water quality degradation is often a severe consequence of rapid economic expansion in developing countries. Methods to assess spatial-temporal patterns and trends in water quality are essential for guiding adaptive management efforts aimed at water quality remediation. Temporal and spatial patterns of surface water quality were investigated for 54 monitoring sites in the Wen-Rui Tang River watershed of eastern China to identify such patterns in water quality occurring across a rural-suburban-urban interface. Twenty physical and chemical water quality parameters were analyzed in surface waters collected once every 4-8 weeks from 2000 to 2010. Temporal and spatial variations among water quality parameters were assessed between seasons (wet/dry) and among major land use zones (urban/suburban/rural). Factor analysis was used to identify parameters that were important in assessing seasonal and spatial variations in water quality. Results revealed that parameters related to organic pollutants (dissolved oxygen (DO), chemical oxygen demand (manganese) (CODMn), and 5-day biochemical oxygen demand (BOD5)), nutrients (ammonia nitrogen (NH4+-N), total nitrogen (TN), total phosphorus (TP)), and salt concentration (electrical conductivity (EC)) were the most important parameters contributing to water quality variation. Collectively, they explained 70.9 % of the total variance. A trend study using the seasonal Kendall test revealed reductions in CODMn, BOD5, NH4+-N, petrol, V-phen, and EC concentrations over the 11-year study period. Cluster analysis was employed to evaluate variation among 14 sampling sites representative of dominant land use categories and indicated three, three, and four clusters based on organic, nutrient, and salt water quality characteristics, respectively. Factors that are typically responsible for water quality degradation (including population, topography, and land use) showed no strong correlation with water quality trends implying considerable point source inputs in the watershed. The results of this study help inform ongoing water quality remediation efforts by documenting trends in water quality across various land use zones.
资助项目	Science and Technology Department of Zhejiang Province, Wenzhou City [2008C03009, 20082780125]; Science and Technology Bureau of Wenzhou City [H20100006, H20100052]
出版者	SPRINGER HEIDELBERG
出版地	HEIDELBERG
ISSN	0944-1344
EISSN	1614-7499
卷号	21 期号:13 页码:8036-8051
DOI	10.1007/s11356-014-2716-z
页数	16
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
WOS记录号	WOS:000337086600024
收录类别	SCIE ; SCOPUS
URL	查看原文
Pubmed记录号	24659457
Scopus记录号	2-s2.0-84902549070
通讯作者地址	[Zhang, Minghua]Department of Land, Air and Water Resources, University of California,United States
scopus学科分类	Environmental Chemistry;Pollution;Health, Toxicology and Mutagenesis
引用统计	被引频次：66[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/9320
专题	公共卫生与管理学院_水环境应用技术研究所
通讯作者	Zhang, Minghua
作者单位	1.Institute of Wenzhou Applied Technology in Environmental Research, Wenzhou Medical University,China; 2.Hydrospheric Atmospheric Research Center, Nagoya University,Japan; 3.Department of Land, Air and Water Resources, University of California,United States
第一作者单位	温州医科大学
第一作者的第一单位	温州医科大学
推荐引用方式 GB/T 7714	Mei, Kun,Liao, Lingling,Zhu, Yuanli,et al. Evaluation of spatial-temporal variations and trends in surface water quality across a rural-suburban-urban interface[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2014,21(13):8036-8051.
APA	Mei, Kun., Liao, Lingling., Zhu, Yuanli., Lu, Ping., Wang, Zhenfeng., ... & Zhang, Minghua. (2014). Evaluation of spatial-temporal variations and trends in surface water quality across a rural-suburban-urban interface. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 21(13), 8036-8051.
MLA	Mei, Kun,et al."Evaluation of spatial-temporal variations and trends in surface water quality across a rural-suburban-urban interface".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 21.13(2014):8036-8051.