中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Sources identification of antibiotic pollution combining land use information and multivariate statistics

文献类型:期刊论文

作者Li, J; Zhang, HB; Chen, YS; Luo, YM; Zhang, H
刊名ENVIRONMENTAL MONITORING AND ASSESSMENT
出版日期2016-07-01
卷号188期号:7
关键词Antibiotics pollution Land use Source identification Aquaculture
ISSN号0167-6369
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
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. hbzhang@yic.ac.cn ; hzhang@yic.ac.cn
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.
研究领域[WOS]Environmental Sciences & Ecology
关键词[WOS]ENVIRONMENTAL RISK-ASSESSMENT ; VETERINARY ANTIBIOTICS ; AQUATIC ENVIRONMENT ; WASTE-WATER ; METAL CONTAMINATION ; RIVER DISCHARGE ; CHINA IMPACTS ; SOUTH CHINA ; PHARMACEUTICALS ; RUNOFF
收录类别SCI
语种英语
WOS记录号WOS:000378840300047
源URL[http://ir.yic.ac.cn/handle/133337/17098]  
专题烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
烟台海岸带研究所_污染过程与控制实验室
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.(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).

入库方式: OAI收割

来源:烟台海岸带研究所

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