干旱区生态环境知识资源中心(Arid): Spatiotemporal Patterns in River Water Quality and Pollution Source Apportionment in the Arid Beichuan River Basin of Northwestern China Using Positive Matrix Factorization Receptor Modeling Techniques

Arid

DOI	10.3390/ijerph17145015
	Spatiotemporal Patterns in River Water Quality and Pollution Source Apportionment in the Arid Beichuan River Basin of Northwestern China Using Positive Matrix Factorization Receptor Modeling Techniques
	Xiao, Lele; Zhang, Qianqian; Niu, Chao; Wang, Huiwei
通讯作者	Zhang, QQ
来源期刊	INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
EISSN	1660-4601
出版年	2020
卷号	17 期号:14
英文摘要	Deteriorating surface water quality has become an important environmental problem in China. In this study, river water quality was monitored in July (wet season) and October (dry season) 2019 at 26 sites, and a water quality index (WQI) and positive matrix factorization (PMF) model were used to assess surface water quality and identify pollution sources in the Beichuan River basin, Qinghai Province, China. The results showed that 53.85% and 76.92% of TN, 11.54% and 34.62% of TP, 65.38% and 76.92% of Fe, and 11.54% and 15.38% of Mn samples in the dry and wet seasons, respectively, exceeded the Chinese Government's Grade III standards for surface water quality. The spatial variation in water quality showed that it gradually deteriorated from upstream to downstream as a result of human activity. The temporal variation showed that water quality was poorer in the wet season than in the dry season because of the rainfall runoff effect. The PMF model outputs showed that the primary sources of pollution in the wet season were mineral weathering and organic pollution sources, domestic and industrial sewage, and agricultural and urban non-point pollution sources. However, in the dry season, the primary sources were mineral weathering and organic pollution sources, industrial sewage, and domestic sewage. Our results suggest that the point pollution sources (domestic and industrial sewage) should be more strictly controlled, as a priority, in order to prevent the continued deterioration in water quality.
英文关键词	water quality spatio-temporal patterns pollution source positive matrix factorization (PMF) model
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000554105100001
WOS关键词	HEALTH-RISK ASSESSMENT ; HEAVY-METALS ; LAND-USE ; SOURCE IDENTIFICATION ; NITRATE SOURCES ; ISOTOPE ; RUNOFF ; SOUTH ; INDEX ; PLAIN
WOS类目	Environmental Sciences ; Public, Environmental & Occupational Health
WOS研究方向	Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/325309
作者单位	[Xiao, Lele; Niu, Chao] Xian Univ Sci & Technol, Coll Geol & Environm, Xian 710054, Peoples R China; [Zhang, Qianqian; Wang, Huiwei] Chinese Acad Geol Sci, Inst Hydrogeol & Environm Geol, Hebei & China Geol Survey Key Lab Groundwater Rem, Shijiazhuang 050061, Hebei, Peoples R China
推荐引用方式 GB/T 7714	Xiao, Lele,Zhang, Qianqian,Niu, Chao,et al. Spatiotemporal Patterns in River Water Quality and Pollution Source Apportionment in the Arid Beichuan River Basin of Northwestern China Using Positive Matrix Factorization Receptor Modeling Techniques[J],2020,17(14).
APA	Xiao, Lele,Zhang, Qianqian,Niu, Chao,&Wang, Huiwei.(2020).Spatiotemporal Patterns in River Water Quality and Pollution Source Apportionment in the Arid Beichuan River Basin of Northwestern China Using Positive Matrix Factorization Receptor Modeling Techniques.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,17(14).
MLA	Xiao, Lele,et al."Spatiotemporal Patterns in River Water Quality and Pollution Source Apportionment in the Arid Beichuan River Basin of Northwestern China Using Positive Matrix Factorization Receptor Modeling Techniques".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 17.14(2020).