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Source apportionment of pollution in groundwater source area using factor analysis and positive matrix factorization methods
被引:35
作者:
Guo, Xueru
[1
,2
]
Zuo, Rui
[1
,2
]
Shan, Dan
[3
]
Cao, Yang
[1
,2
]
Wang, Jinsheng
[1
,2
]
Teng, Yanguo
[1
,2
]
Fu, Qing
[4
]
Zheng, Binghui
[4
]
机构:
[1] Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China
[2] Beijing Normal Univ, Engn Res Ctr Groundwater Pollut Control & Remedia, Minist Educ China, Beijing, Peoples R China
[3] Sino Japan Friendship Ctr Environm Protect, Beijing, Peoples R China
[4] Chinese Res Inst Environm Sci, Beijing, Peoples R China
来源:
HUMAN AND ECOLOGICAL RISK ASSESSMENT
|
2017年
/
23卷
/
06期
基金:
中国国家自然科学基金;
关键词:
source apportionment;
groundwater;
factor analysis;
positive matrix factorization;
water source area;
SOURCE IDENTIFICATION;
ORGANIC CONTAMINANTS;
ALLUVIAL AQUIFER;
WATER-QUALITY;
HEAVY-METALS;
PMF ANALYSIS;
SOURCE FIELD;
NITRATE;
SEDIMENTS;
URBAN;
D O I:
10.1080/10807039.2017.1322894
中图分类号:
X176 [生物多样性保护];
学科分类号:
090705 ;
摘要:
By means of factor analysis (FA) and positive matrix factorization (PMF) methods, groundwater pollution sources were identified in the Jinji groundwater source area, which is beside the Yellow River and is the only urban water supply source for the city of Wuzhong in Northwestern China. The sources of groundwater were quantified based on 16 samples of shallow groundwater from the source area. The source apportionment with the PMF model identified three dominant groundwater pollution sources. These were anthropogenic activities of agricultural and industrial pollution with a pollution contribution of 53.0%, water-rock interaction of 24.6%, and evaporation and concentration of 22.4%. The source apportionment with the FA model identified four sources which were evaporation and concentration, with the largest contribution (42.6%), followed by anthropogenic activities (29.2%), mineral dissolution and industrial pollution (22.4%), and natural effects (5.8%). Specific attention should be paid to these natural (fluoride, TH, etc.) and anthropogenic sources (NH4+, NO2-, turbidity, total bacterial count, etc.), and pertinent measures should be taken to control local groundwater pollution. The most significant trait of the PMF is its scientific interpretation and physical explanation of the results, depending on non-negative restriction of the pollution source profiles and contributions.
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页码:1417 / 1436
页数:20
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