GEOGRAPHIC INFORMATION SYSTEM BASED APPROACH FOR THE INVESTIGATION OF GROUNDWATER NITROGEN POLLUTION NEAR A CLOSED OLD LANDFILL SITE IN BEIJING, CHINA

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	GEOGRAPHIC INFORMATION SYSTEM BASED APPROACH FOR THE INVESTIGATION OF GROUNDWATER NITROGEN POLLUTION NEAR A CLOSED OLD LANDFILL SITE IN BEIJING, CHINA
	Wu, Jun ; Zhao, Weidong ; Lu, Jian ; Jin, Song ; Wang, Jiaquan ; Qian, Jiazhong
刊名	ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL
	2018-05
卷号	17 期号:5 页码:1095-1101
关键词	ammonium geographic information system groundwater nitrate
ISSN号	1582-9596
产权排序	[Wu, Jun] Chinese Acad Sci, Qinghai Inst Salt Lakes, Xining 810008, Qinghai, Peoples R China ; [Zhao, Weidong ; Wang, Jiaquan ; Qian, Jiazhong] Hefei Univ Technol, Sch Resources & Environm Engn, Hefei 230009, Anhui, Peoples R China ; [Lu, Jian] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Shandong, Peoples R China ; [Jin, Song] Univ Wyoming, Dept Civil & Architectural Engn, Laramie, WY 82801 USA
文献子类	Article
英文摘要	Groundwater pollution investigation near old and closed landfill sites is increasingly attracting more attention. Nitrogen compounds, especially those leached from the landfill area, are often regarded as a main pollution source for the groundwater. This study investigated the nitrogen pollution in the groundwater near a closed old landfill area of Beijing, China. The field investigation showed that the nitrate-polluted groundwater was determined as Class VI (refers to bad quality) at the detection rate of over 70% in three out of seven wells. The detection rates of nitrate-polluted groundwater of Class V (refers to bad quality) were more than 50% in four out of seven wells. Geographic information system (GIS) was employed to evaluate the groundwater contamination and investigate the spatial-temporal distributions of the nitrogen pollutants in the shallow groundwater. Elevated concentration of ammonium was observed during May and September when the weather was fairly warm and precipitation was plenty. Extreme concentrations of ammonium were only observed in the area near the well W26, which is adjacent to an old landfill. Nitrate pollution was determined to be severe in the study area based on the detected nitrate concentrations. During winter (November 2007 to January 2008), the nitrate contamination became more severe.
WOS关键词	SANITARY-LANDFILL ; LEACHATE ; CONTAMINATION ; AQUIFER ; GIS ; ISOTOPE ; NITRATE ; RAINWATER ; QUALITY ; METALS
WOS研究方向	Environmental Sciences
语种	英语
WOS记录号	WOS:000435676900008
资助机构	One Hundred Talents Program of Chinese Academy of Sciences [Y629041021, Y610061033] ; Program for New Century Excellent Talents in University [NCET-06-0541] ; Science Foundation of Hefei University of Technology [2009HGCX0233] ; Hefei University of Technology [2008GDBJ001]
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/24469]
专题	烟台海岸带研究所_近岸生态与环境实验室烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
作者单位	1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Shandong, Peoples R China; 2.Hefei Univ Technol, Sch Resources & Environm Engn, Hefei 230009, Anhui, Peoples R China; 3.Chinese Acad Sci, Qinghai Inst Salt Lakes, Xining 810008, Qinghai, Peoples R China; 4.Univ Wyoming, Dept Civil & Architectural Engn, Laramie, WY 82801 USA
推荐引用方式 GB/T 7714	Wu, Jun,Zhao, Weidong,Lu, Jian,et al. GEOGRAPHIC INFORMATION SYSTEM BASED APPROACH FOR THE INVESTIGATION OF GROUNDWATER NITROGEN POLLUTION NEAR A CLOSED OLD LANDFILL SITE IN BEIJING, CHINA[J]. ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL,2018,17(5):1095-1101.
APA	Wu, Jun,Zhao, Weidong,Lu, Jian,Jin, Song,Wang, Jiaquan,&Qian, Jiazhong.(2018).GEOGRAPHIC INFORMATION SYSTEM BASED APPROACH FOR THE INVESTIGATION OF GROUNDWATER NITROGEN POLLUTION NEAR A CLOSED OLD LANDFILL SITE IN BEIJING, CHINA.ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL,17(5),1095-1101.
MLA	Wu, Jun,et al."GEOGRAPHIC INFORMATION SYSTEM BASED APPROACH FOR THE INVESTIGATION OF GROUNDWATER NITROGEN POLLUTION NEAR A CLOSED OLD LANDFILL SITE IN BEIJING, CHINA".ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL 17.5(2018):1095-1101.