Institutional Repository of Key Laboratory of Coastal Zone Environmental Processes, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences (KLCEP)
| 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. hbzhang@yic.ac.cn; hzhang@yic.ac.cn
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| 发表期刊 | ENVIRONMENTAL MONITORING AND ASSESSMENT
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| 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 | |
| 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. hbzhang@yic.ac.cn; hzhang@yic.ac.cn |
| 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.,...&hzhang@yic.ac.cn.(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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