Sources identification of antibiotic pollution combining land use information and multivariate statistics

doi:10.1007/s10661-016-5439-4

	Sources identification of antibiotic pollution combining land use information and multivariate statistics
	Li, J; Zhang, HB; Chen, YS ; Luo, YM; Zhang, H; Zhang, H (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China. [email protected]; [email protected]
发表期刊	ENVIRONMENTAL MONITORING AND ASSESSMENT
ISSN	0167-6369
	2016-07-01
卷号	188 期号:7
关键词	Antibiotics Pollution Land Use Source Identification Aquaculture
DOI	10.1007/s10661-016-5439-4
产权排序	[Li, Jia; Zhang, Haibo; Luo, Yongming; Zhang, Hua] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China; [Li, Jia] Univ Chinese Acad Sci, Beijing, Peoples R China; [Chen, Yongshan] Chinese Acad Sci, Inst Urban Environm, Xiamen 361021, Peoples R China
作者部门	中科院海岸带环境过程与生态修复重点实验室
英文摘要	To quantify the extent of antibiotic contamination and to identity the dominant pollutant sources in the Tiaoxi RiverWatershed, surface water samples were collected at eight locations and analyzed for four tetracyclines and three sulfonamides using ultraperformance liquid chromatography tandem mass spectrometry (UPLC-MS/MS). The observed maximum concentrations of tetracycline (623 ng L-1), oxytetracycline (19,810 ng L-1), and sulfamethoxazole (112 ng L-1) exceeded their corresponding Predicted No Effect Concentration (PNEC) values. In particular, high concentrations of antibiotics were observed in wet summer with heavy rainfall. The maximum concentrations of antibiotics appeared in the vicinity of intensive aquaculture areas. High-resolution land use data were used for identifying diffuse source of antibiotic pollution in the watershed. Significant correlations between tetracycline and developed (r = 0.93), tetracycline and barren (r = 0.87), oxytetracycline and barren (r = 0.82), and sulfadiazine and agricultural facilities (r = 0.71) were observed. In addition, the density of aquaculture significantly correlated with doxycycline (r = 0.74) and oxytetracycline (r = 0.76), while the density of livestock significantly correlated with sulfadiazine (r = 0.71). Principle Component Analysis (PCA) indicated that doxycycline, tetracycline, oxytetracycline, and sulfamethoxazole were from aquaculture and domestic sources, whereas sulfadiazine and sulfamethazine were from livestock wastewater. Flood or drainage from aquaculture ponds was identified as a major source of antibiotics in the Tiaoxi watershed. A hot-spot map was created based on results of land use analysis and multivariable statistics, which provided an effective management tool of sources identification in watersheds with multiple diffuse sources of antibiotic pollution.
文章类型	Article
资助机构	National Natural Science Foundation of China(41371313 ; Key Research Program of Chinese Academy of Sciences(KZZD-EW-14) ; 41271506 ; 41230858)
收录类别	SCI
语种	英语
关键词[WOS]	ENVIRONMENTAL RISK-ASSESSMENT ; VETERINARY ANTIBIOTICS ; AQUATIC ENVIRONMENT ; WASTE-WATER ; METAL CONTAMINATION ; RIVER DISCHARGE ; CHINA IMPACTS ; SOUTH CHINA ; PHARMACEUTICALS ; RUNOFF
研究领域[WOS]	Environmental Sciences & Ecology
WOS记录号	WOS:000378840300047
引用统计	被引频次：26[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.yic.ac.cn/handle/133337/17098
专题	中国科学院海岸带环境过程与生态修复重点实验室中国科学院海岸带环境过程与生态修复重点实验室_污染过程与控制实验室
通讯作者	Zhang, HB; Zhang, H (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China. [email protected]; [email protected]
作者单位	1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat 2.Univ Chinese Acad Sci 3.Chinese Acad Sci, Inst Urban Environm
推荐引用方式 GB/T 7714	Li, J,Zhang, HB,Chen, YS,et al. Sources identification of antibiotic pollution combining land use information and multivariate statistics[J]. ENVIRONMENTAL MONITORING AND ASSESSMENT,2016,188(7).
APA	Li, J.,Zhang, HB.,Chen, YS.,Luo, YM.,Zhang, H.,[email protected].(2016).Sources identification of antibiotic pollution combining land use information and multivariate statistics.ENVIRONMENTAL MONITORING AND ASSESSMENT,188(7).
MLA	Li, J,et al."Sources identification of antibiotic pollution combining land use information and multivariate statistics".ENVIRONMENTAL MONITORING AND ASSESSMENT 188.7(2016).

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