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我国典型区域地表水环境中抗生素污染现状及其生态风险评价
引用本文:刘昔,王智,王学雷,李珍,杨超,厉恩华,位慧敏.我国典型区域地表水环境中抗生素污染现状及其生态风险评价[J].环境科学,2019,40(5):2094-2100.
作者姓名:刘昔  王智  王学雷  李珍  杨超  厉恩华  位慧敏
作者单位:中国科学院测量与地球物理研究所环境与灾害监测评估湖北省重点实验室, 武汉 430061;中国科学院大学, 北京 100049,中国科学院测量与地球物理研究所环境与灾害监测评估湖北省重点实验室, 武汉 430061,中国科学院测量与地球物理研究所环境与灾害监测评估湖北省重点实验室, 武汉 430061,中国科学院大学, 北京 100049;中国科学院武汉植物园水生植物与流域生态重点实验室, 武汉 430061,中国科学院测量与地球物理研究所环境与灾害监测评估湖北省重点实验室, 武汉 430061,中国科学院测量与地球物理研究所环境与灾害监测评估湖北省重点实验室, 武汉 430061,中国科学院测量与地球物理研究所环境与灾害监测评估湖北省重点实验室, 武汉 430061;中国科学院大学, 北京 100049
基金项目:国家自然科学基金项目(41571202,41601545,41801100);湖北省自然科学重点基金项目(2015CFA132);中国科学院青年创新促进会项目(2018369)
摘    要:为了解我国典型地表水环境中抗生素污染现状与生态风险,本文通过历史数据收集,利用风险商评价模型(RQ)与风险简单叠加模型(RQSUM)对我国5个典型地表水环境中丰水期的抗生素污染进行生态风险评价.结果表明:①5个区域内地表水在丰水期(4~9月)主要受到8种抗生素污染的生态风险,分别是磺胺甲基异噁唑(SMX)、磺胺甲基嘧啶(SM)、红霉素(ETM)、罗红霉素(RTM)、四环素(TC)、氧土霉素(OTC)、诺氟沙星(NOR)和氧氟沙星(OFL);②5个区域内首要的抗生素污染类型为SMX和ETM,SMX对长江三角洲和巢湖流域的RQ_(SUM)贡献率分别为91. 1%和98. 5%,ETM对江汉平原、珠江三角洲和黄河三角洲的RQ_(SUM)贡献率分别为94. 4%、81. 8%和60%;③根据RQSUM值大小对5个区域内受到抗生素污染的生态风险由高到低排序为:江汉平原(20. 204)长江三角洲(8. 769)巢湖流域(2. 692)黄河三角洲(1. 943)珠江三角洲(1. 222).

关 键 词:地表水  污染现状  抗生素  生态风险  风险商  贡献率
收稿时间:2018/8/13 0:00:00
修稿时间:2018/12/14 0:00:00

Status of Antibiotic Contamination and Ecological Risks Assessment of Several Typical Chinese Surface-Water Environments
LIU Xi,WANG Zhi,WANG Xue-lei,LI Zhen,YANG Chao,LI En-hua and WEI Hui-min.Status of Antibiotic Contamination and Ecological Risks Assessment of Several Typical Chinese Surface-Water Environments[J].Chinese Journal of Environmental Science,2019,40(5):2094-2100.
Authors:LIU Xi  WANG Zhi  WANG Xue-lei  LI Zhen  YANG Chao  LI En-hua and WEI Hui-min
Institution:Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430061, China;University of Chinese Academy of Sciences, Beijing 100049, China,Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430061, China,Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430061, China,University of Chinese Academy of Sciences, Beijing 100049, China;Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430061, China,Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430061, China,Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430061, China and Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430061, China;University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:To learn about the status of antibiotic contamination and their ecological risks in Chinese surface-water environments, the risk quotient (RQ) and joint risk quotient (RQSUM) methods were applied to assess the ecological risks of five typical surface-water environments in China during the flood season. The results showed that the main types of antibiotic contamination in the five regions were sulfamethoxazole (SMX), sulfamethazine (SM), erythromycin (ETM), roxithromycin (RTM), tetracycline (TC), oxytetracycline (OTC), norfloxacin (NOR), and ofloxacin (OFL). Among eight types of antibiotic contamination, sulfamethoxazole (SMX) and erythromycin (ETM) occupied a dominant position. The contribution rate of SMX in the Yangtze River Delta and Chaohu Basin was 91.1% and 98.5%, respectively. Meanwhile, the contribution rates of ETM in Jianghan Plain, Pearl River Delta, and Yellow River Delta were 94.4%, 81.8%, and 60%, respectively. Based on the joint risk quotients (RQSUM), the order of ecological risks in the research areas was:Jianghan Plain (20.204) > Yangtze River Delta (8.769) > Chaohu Basin (2.692) > Yellow River Delta (1.943) > Pearl River Delta (1.222).
Keywords:surface-water  pollution status  antibiotics  ecological risks  the risk quotient  contribution rate
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