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

机译:结合土地利用信息和多元统计数据确定抗生素污染的来源

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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.
机译:为了定量分析xi溪河流域中的抗生素污染程度并确定主要污染物源,在8个地点收集了地表水样品,并使用超高效液相色谱串联质谱(UPLC-MS / MS)分析了四种四环素和三种磺酰胺。观察到的最大浓度四环素(623 ng L-1),土霉素(19,810 ng L-1)和磺胺甲恶唑(112 ng L-1)超过了其相应的预计无效应浓度(PNEC)值。特别是在潮湿的夏季和大雨中观察到高浓度的抗生素。密集养殖区附近出现了最大浓度的抗生素。高分辨率土地利用数据被用于识别流域中抗生素污染的扩散来源。观察到四环素和发达的(r = 0.93),四环素和贫瘠的(r = 0.87),土霉素和贫瘠的(r = 0.82)以及磺胺嘧啶和农业设施(r = 0.71)之间的显着相关性。此外,水产养殖密度与强力霉素(r = 0.74)和土霉素(r = 0.76)显着相关,而牲畜密度与磺胺嘧啶(r = 0.71)显着相关。主成分分析(PCA)表明,强力霉素,四环素,土霉素和磺胺甲恶唑来自水产养殖和家庭来源,而磺胺二嗪和磺胺二甲嘧啶则来自畜牧业废水。在跳溪流域,水产养殖池塘的洪水或排水被确定为抗生素的主要来源。根据土地利用分析的结果和多变量统计数据创建了一个热点地图,该地图提供了有效的管理工具,可在具有多种分散的抗生素污染源的流域中识别源。

著录项

  • 来源
    《Environmental Monitoring and Assessment》 |2016年第7期|430.1-430.12|共12页
  • 作者单位

    Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China|Univ Chinese Acad Sci, Beijing, Peoples R China;

    Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China;

    Chinese Acad Sci, Inst Urban Environm, Xiamen 361021, Peoples R China;

    Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China;

    Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Antibiotics pollution; Land use; Source identification; Aquaculture;

    机译:抗生素污染;土地利用;来源鉴定;水产养殖;

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