白洋淀典型抗生素的源解析及其特定源风险评估 |
摘要点击 3591 全文点击 907 投稿时间:2022-10-06 修订日期:2022-11-26 |
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中文关键词 白洋淀 抗生素 空间分异 源解析 特定源风险 PMF模型 |
英文关键词 Baiyangdian Lake antibiotics spatial distribution source apportionment source-specific risk PMF model |
作者 | 单位 | E-mail | 宋圆梦 | 河北科技大学环境科学与工程学院, 石家庄 050018 | songym299011@163.com | 赵波 | 河北科技大学环境科学与工程学院, 石家庄 050018 | | 卢梦淇 | 河北科技大学环境科学与工程学院, 石家庄 050018 | | 赵鑫宇 | 河北科技大学环境科学与工程学院, 石家庄 050018 | | 陈慧 | 河北科技大学环境科学与工程学院, 石家庄 050018 | | 陈昊达 | 河北科技大学环境科学与工程学院, 石家庄 050018 | | 高赛 | 河北科技大学环境科学与工程学院, 石家庄 050018 | | 王琳静 | 河北科技大学环境科学与工程学院, 石家庄 050018 | | 崔建升 | 河北科技大学环境科学与工程学院, 石家庄 050018 河北省污染防治生物技术实验室, 石家庄 050018 | | 张璐璐 | 河北科技大学环境科学与工程学院, 石家庄 050018 河北省污染防治生物技术实验室, 石家庄 050018 | zhanglulu19850703@163.com |
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中文摘要 |
目前我国湖泊中抗生素污染形势严峻,研究多集中于抗生素的时空分布与风险评价等,而有关源解析的研究则较少.鉴于此,选取白洋淀为研究区,探究典型抗生素的污染来源及其特定源风险.运用高效液相色谱串联质谱法(HPLC-MS)测定样品中的四环素类(TCs)、磺胺类(SAs)和喹诺酮类(QNs)抗生素,并运用正定矩阵因子分解(PMF)模型和风险商值法(RQ)相结合的方法对典型抗生素进行源解析和特定源风险评估.结果表明:①水体和沉积物中抗生素含量范围分别为ND~2635 ng ·L-1和ND~259.8 ng ·g-1;②就水体中抗生素浓度的空间分布而言,QNs呈"西高东低",SAs呈"中部高、南北低",TCs呈"中部低、南北高"的分布特征;就沉积物中抗生素含量的空间分布而言,QNs呈"中部高,东西低",而SAs和TCs均呈"西高东低"的分布特征;③就抗生素的来源而言,水产养殖(33.2%)占比最高,其次为污水处理厂(29.2%)、畜禽养殖(18.9%)和生活污水(18.7%);④就生态风险而言,恩诺沙星(ENR)和氟甲喹(FLU)处于中高风险水平;⑤就特定源风险的空间分布而言,除S1处水产养殖处于高风险水平,其余样点各源均处于中低风险水平;就源的种类而言,水产养殖处于中高风险水平,其余各源均处于中低风险水平.因此,针对白洋淀抗生素的主要来源及其特定源风险等级,需采取更为精准科学的抗生素风险管控. |
英文摘要 |
The current situation of antibiotic pollution in lakes is critical. At present, most of the previous studies on antibiotics in lakes have focused on the spatiotemporal distribution and risk assessment, while less attention has been paid to the source apportionment. Ultra-high performance liquid chromatography-mass spectrometry was used to determine the concentration of tetracyclines (TCs), sulfonamides (SAs), and quinolones (QNs) in the samples. The source apportionment and source-specific risk of typical antibiotics in the study area were analyzed using the combination of a PMF model and risk quotients (RQ). The results showed that ① the total concentrations of target antibiotics (Σ antibiotics) ranged from ND to 2635 ng·L-1 for surface water and from ND to 259.8 ng·g-1 for sediments. ② The spatial distribution of QNs in surface water decreased from west to east, SAs decreased from middle to north and south, and TCs increased from middle to north and south. In the sediment, QNs decreased from middle to east and west, whereas SAs and TCs increased from east to west. ③ Aquaculture was the major antibiotic source, accounting for the highest proportion (33.2%), followed by sewage treatment plants (29.2%), livestock activities (18.9%), and domestic sewage (18.7%). ④ The ecological risk assessment results showed that enrofloxacin and flumequine were at a medium-high risk level. ⑤ For the spatial distribution of source-specific risk, the results showed that the aquaculture at S1 was at a high risk level, whereas the source-specific risks for other sites were at a medium-low risk level. In terms of source types, aquaculture was at a medium-high risk level, whereas the other sources were at a medium-low risk level. Therefore, considering the major sources and source-specific risk level of antibiotics, more precise and scientific antibiotic risk control should be adopted in Baiyangdian Lake. |
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