摘要
利用超高效液相色谱串联质谱法(HPLC-MS)对白洋淀水体和沉积物中喹诺酮类(Quinolones,QNs)抗生素进行检测,并研究其生态风险空间分异特征,探究其与环境因子的相关性.结果表明:①白洋淀氧氟沙星(Ofloxacin,OFL)和氟甲喹(Flumequine,FLU)的检出率最高(100%),其次为马波沙星(Marbofloxacin,MAR)和氟罗沙星(Fleroxacin,FLE)(≥60%),其余QNs的检出率较低(≤35%);②白洋淀水体和沉积物中QNs抗生素浓度范围分别为153.39~1550.07 ng·L^-1和10.22~381.85 ng·g^-1,水体中QNs在S1处浓度最高,S4处最低,沉积物中QNs在S2处浓度最高;③相关性分析结果表明,水体透明度(Secchi depth,SD)、总氮(Total nitrogen,TN)、总磷(Total phosphorus,TP)、硝氮(Nitrate nitrogen,NO3^--N)、沉积物氨氮(Ammonia nitrogen,NH3-Ns)和沉积物总氮(TNs)与QNs相关性显著,其中,SD、TP和NH3-Ns与部分QNs(MAR、恩诺沙星(Enrofloxacin,ENR)和FLE)显著相关(p<0.01),表明生活污水和养殖废水对QNs的贡献较大;④生态风险评价结果表明,白洋淀QNs总体处于中低风险水平,其中,ENR处于中高风险水平,其余QNs处于低风险水平;就空间分布而言,除S1和S9为高风险区外,其余各点为中低风险区.
The concentrations of quinolones(QNs) in Baiyangdian Lake were detected by high performance liquid chromatography tandem mass spectrometry(HPLC-MS). Correlation analysis was conducted between the concentrations of QNs and physical-chemical parameters in water and sediment, and ecological risk was assessed by risk quotient method. The results showed that: ①the detection frequency of ofloxacin(OFL) and flumequine(FLU) in Baiyangdian Lake was the highest(Freq = 100%), followed by marbofloxacin(MAR) and fleroxacin(FLE)(Freq≥60%), and the detection rate of other QNs was low(Freq≤35%);②the concentration of QNs in Baiyangdian Lake ranged from 153.39 ng·L^-1 to 1550.07 ng·L^-1 in water and from 10.22 ng·g^-1 to 381.85 ng·g^-1 in sediment. Thereinto, the highest concentration of QNs in water appeared at S1, while at S2 in sediment;③through correlation analysis, the results showed that secchi depth(SD), total nitrogen(TN), total phosphorus(TP), nitrate nitrogen(NO3^--N), NO2^--N, ammonia nitrogen(NH3-Ns) and TNs were significantly correlated with QNs, which indicated that domestic sewage and aquaculture wastewater were the main sources for QNs;④the ecological risk of QNs in Baiyangdian Lake was at medium-low risk level. Thereinto, enrofloxacin(ENR) was at medium-high risk level, while the other QNs were at low-risk level. According to the variation of spatial distribution, S1 and S9 were at high-risk level, while the other sites were at medium-low risk level.
作者
申立娜
张璐璐
秦珊
姚波
崔建升
SHEN Lina;ZHANG Lulu;QIN Shan;YAO Bo;CUI Jiansheng(College of Environmental Science and Technology,Hebei University of Science and Technology,Shijiazhuang 050018;The Biological Technology Laboratory for Pollution Control in Hebei Province,Shijiazhuang 050018)
出处
《环境科学学报》
CAS
CSCD
北大核心
2019年第11期3888-3897,共10页
Acta Scientiae Circumstantiae
基金
国家自然科学基金(No.41601547)
国家重点基础研究发展计划(No.2015CB458900)
河北省自然科学基金(No.D2017208003,D2019208152)
河北省高等学校青年拔尖人才项目(No.BJ2017013)
河北省社会科学基金(No.HB19YJ023)
关键词
白洋淀
喹诺酮类
环境因子
空间分异
生态风险
Baiyangdian Lake
quinolones
environmental parameters
spatial distribution
ecological risk
