题名 | Comparison of seven water quality assessment methods for the characterization and management of highly impaired river systems |
作者 | |
发表日期 | 2016-01 |
发表期刊 | ENVIRONMENTAL MONITORING AND ASSESSMENT 影响因子和分区 |
语种 | 英语 |
原始文献类型 | Article |
关键词 | Water quality assessment Water quality identification index Dominant pollutant Wen-Rui Tang river |
其他关键词 | MULTIVARIATE STATISTICAL TECHNIQUES ; ENVIRONMENTAL-QUALITY ; TEMPORAL VARIATIONS ; SOURCE APPORTIONMENT ; NITROGEN ; INDEX ; POLLUTION |
摘要 | In the context of water resource management and pollution control, the characterization of water quality impairments and identification of dominant pollutants are of critical importance. In this study, water quality impairment was assessed on the basis of 7 hydrochemical variables that were monitored bimonthly at 17 sites in 2010 along the rural-suburban-urban portion of the Wen-Rui Tang River in eastern China. Seven methods were used to assess water quality in the river system. These methods included single-factor assessment, water quality grading, comprehensive pollution index, the Nemerow pollution index, principle component analysis, fuzzy comprehensive evaluation, and comprehensive water quality identification index. Our analysis showed that the comprehensive water quality identification index was the best method for assessing water quality in the Wen-Rui Tang River due to its ability to effectively characterize highly polluted waters with multiple impairments. Furthermore, a guideline for the applications of these methods was presented based on their characteristics and efficacy. Results indicated that the dominant pollutant impairing water quality was total nitrogen comprised mainly of ammonium. The temporal variation of water quality was closely related to precipitation as a result of dilution. The spatial variation of water quality was associated with anthropogenic influences (urban, industrial, and agriculture activities) and water flow direction (downstream segments experiencing cumulative effects of upstream inputs). These findings provide valuable information and guidance for water pollution control and water resource management in highly polluted surface waters with multiple water quality impairments in areas with rapid industrial growth and urbanization. |
资助项目 | Science and Technology Department of Zhejiang Province [2008C03009] |
出版者 | SPRINGER |
出版地 | DORDRECHT |
ISSN | 0167-6369 |
EISSN | 1573-2959 |
卷号 | 188期号:1页码:15 |
DOI | 10.1007/s10661-015-5016-2 |
页数 | 31 |
WOS类目 | Environmental Sciences |
WOS研究方向 | Environmental Sciences & Ecology |
WOS记录号 | WOS:000367880700015 |
收录类别 | SCIE ; PUBMED ; EI ; SCOPUS |
EI入藏号 | 20155001656510 |
EI主题词 | River pollution |
URL | 查看原文 |
Pubmed记录号 | 26643812 |
Scopus记录号 | 2-s2.0-84948972838 |
通讯作者地址 | [Zhang, Minghua]Department of Land,Air and Water Resources,University of California Davis,Davis,95616,United States |
scopus学科分类 | Environmental Science (all);Pollution;Management, Monitoring, Policy and Law |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://kms.wmu.edu.cn/handle/3ETUA0LF/8103 |
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,Wenzhou,325035,China; 2.Southern Zhejiang Water Research Institute,Wenzhou,325035,China; 3.Department of Land,Air and Water Resources,University of California Davis,Davis,95616,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 | Ji, Xiaoliang,Dahlgren, Randy A.,Zhang, Minghua. Comparison of seven water quality assessment methods for the characterization and management of highly impaired river systems[J]. ENVIRONMENTAL MONITORING AND ASSESSMENT,2016,188(1):15. |
APA | Ji, Xiaoliang, Dahlgren, Randy A., & Zhang, Minghua. (2016). Comparison of seven water quality assessment methods for the characterization and management of highly impaired river systems. ENVIRONMENTAL MONITORING AND ASSESSMENT, 188(1), 15. |
MLA | Ji, Xiaoliang,et al."Comparison of seven water quality assessment methods for the characterization and management of highly impaired river systems".ENVIRONMENTAL MONITORING AND ASSESSMENT 188.1(2016):15. |
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