Using multivariate statistical analyses to identify and evaluate the main sources of contamination in a polluted river near to the Liaodong Bay in Northeast China

doi:10.1016/j.envpol.2018.11.099

	Using multivariate statistical analyses to identify and evaluate the main sources of contamination in a polluted river near to the Liaodong Bay in Northeast China
	Bu, Hongmei 1; Song, Xianfang 1; Zhang, Yuan 2
刊名	ENVIRONMENTAL POLLUTION
	2019-02-01
卷号	245 页码:1058-1070
关键词	Human activities River water quality Population growth Fertilizer and pesticide applications Domestic sewage Industrial effluents
ISSN号	0269-7491
DOI	10.1016/j.envpol.2018.11.099
通讯作者	Bu, Hongmei(buhm@igsnrr.ac.cn)
英文摘要	Using multivariate statistical analysis, the study evaluated anthropogenic sources of river water contamination and their relationships with river water quality in the Haicheng River basin near to the Liaodong Bay in Northeast China. The results showed that nitrogen (N) and phosphorous (P) were identified as the main pollutants in the river water by factor analysis. Human population and elevational gradient were all significantly correlated with N. P, and other water quality variables in correlation analysis and explained chemical oxygen demand (COD), N, and P variables from 23.9% (TN) to 53.1% (NH3+-N) of the total variances in regression analysis, indicating that population and its distribution were all responsible for river contaminations, especially for COD, N, and P contaminations. The excessive applications of fertilizers and pesticides were all positively correlated with nitrogen variables and nitrogen pollution factor in correlation analysis, suggesting that agricultural activities were contributed to the river nitrogen pollution. Due to inadequate or lack wastewater treatment facilities, huge amounts of domestic sewage and industrial effluents were released into the river, becoming the predominant anthropogenic sources for the river water deterioration of COD, N, and P. Multivariate statistical analysis provided useful tools to correlate sources of contamination with water quality data. This approach will provide a better management for river pollution control in a human-driven river ecosystem. (C) 2018 Elsevier Ltd. All rights reserved.
资助项目	Open Funding Project of State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences[SKLECRA2014OFP12] ; Major Science and Technology Program for Water Pollution Control and Treatment in China[2008ZX07526-001]
WOS关键词	LAND-USE PATTERNS ; WATER-QUALITY ; NITROGEN ; BASIN ; IMPACT ; URBAN
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000457511900113
资助机构	Open Funding Project of State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences ; Major Science and Technology Program for Water Pollution Control and Treatment in China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/49919]
专题	中国科学院地理科学与资源研究所
通讯作者	Bu, Hongmei
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing 100012, Peoples R China
推荐引用方式 GB/T 7714	Bu, Hongmei,Song, Xianfang,Zhang, Yuan. Using multivariate statistical analyses to identify and evaluate the main sources of contamination in a polluted river near to the Liaodong Bay in Northeast China[J]. ENVIRONMENTAL POLLUTION,2019,245:1058-1070.
APA	Bu, Hongmei,Song, Xianfang,&Zhang, Yuan.(2019).Using multivariate statistical analyses to identify and evaluate the main sources of contamination in a polluted river near to the Liaodong Bay in Northeast China.ENVIRONMENTAL POLLUTION,245,1058-1070.
MLA	Bu, Hongmei,et al."Using multivariate statistical analyses to identify and evaluate the main sources of contamination in a polluted river near to the Liaodong Bay in Northeast China".ENVIRONMENTAL POLLUTION 245(2019):1058-1070.