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长江中游典型饮用水水源中药物的时空分布及风险评价
引用本文:武俊梅,魏琳,彭晶倩,何鹏,施鸿媛,汤冬梅,吴振斌.长江中游典型饮用水水源中药物的时空分布及风险评价[J].环境科学,2022,43(6):2996-3004.
作者姓名:武俊梅  魏琳  彭晶倩  何鹏  施鸿媛  汤冬梅  吴振斌
作者单位:中国科学院水生生物研究所, 淡水生态与生物技术国家重点实验室, 武汉 430072;武汉市生态环境科技中心, 武汉 430015;中国科学院水生生物研究所, 淡水生态与生物技术国家重点实验室, 武汉 430072;中国地质大学环境学院, 武汉 430074;中国科学院水生生物研究所, 淡水生态与生物技术国家重点实验室, 武汉 430072;武汉理工大学资源与环境工程学院, 武汉 430070
基金项目:中国科学院战略性先导科技专项(A类,XDA23040401);湖北省自然科学基金项目(2020CFB442);中国科学院水生生物研究所青年人才专项(Y955040101);武汉市环境保护科学研究院项目(HKY-2020-KY14)
摘    要:采用固相萃取-高效液相色谱/串联质谱方法,分析长江中游典型饮用水水源中药物的季节变化和空间分布;结合风险熵方法,评价其对水生生物的生态风险.结果表明,80%的目标药物在饮用水水源中检出,浓度平均值在0.07~13.00 ng·L-1之间,与国内报道的其他饮用水水源相比,检出浓度处于中等偏低水平.不同药物表现出不同的时空分布,一般冬季的检出水平高于夏季,上下游之间没有显著性差异,可能与药物的季节性/区域性使用排放、流量对稀释作用的影响和温度对生物降解的影响有关.与新冠肺炎疫情前相比,长江中游典型饮用水水源中药物检出浓度较低,原因可能在于疫情防控一定程度上减少药物的使用排放,以及较高的降水量和径流量加强水流的稀释作用.目标药物特别是抗生素对水生生物(特别是藻类)具有中等或低风险,考虑到药物的生态风险、遗传毒性以及抗生素抗性基因的潜在风险,建议加强水环境中药物的调查、评估、治理和管控.

关 键 词:饮用水水源  抗生素  抗炎药  季节变化  空间分布  生态风险
收稿时间:2021/9/7 0:00:00
修稿时间:2021/11/11 0:00:00

Spatiotemporal Distribution and Risk Assessment of Pharmaceuticals in Typical Drinking Water Sources in the Middle Reaches of the Yangtze River
WU Jun-mei,WEI Lin,PENG Jing-qian,HE Peng,SHI Hong-yuan,TANG Dong-mei,WU Zhen-bin.Spatiotemporal Distribution and Risk Assessment of Pharmaceuticals in Typical Drinking Water Sources in the Middle Reaches of the Yangtze River[J].Chinese Journal of Environmental Science,2022,43(6):2996-3004.
Authors:WU Jun-mei  WEI Lin  PENG Jing-qian  HE Peng  SHI Hong-yuan  TANG Dong-mei  WU Zhen-bin
Institution:State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China;Wuhan Science and Technology Center of Ecology and Environment, Wuhan 430015, China;State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China;School of Environmental Studies, China University of Geosciences, Wuhan 430074, China;State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China;School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China
Abstract:The seasonal variation and spatial distribution of pharmaceuticals in typical drinking water sources in the middle reaches of the Yangtze River were analyzed using the solid-phase extraction and high-performance liquid chromatography-tandem mass spectrometry methods. Combined with the risk entropy method, the corresponding ecological risks for aquatic organisms were evaluated. The results showed that 80% of the target pharmaceuticals were detected in the drinking water sources, with average concentrations of 0.07-13.00 ng·L-1. The concentrations of the target pharmaceuticals were lower than or comparable with those in other drinking water sources reported in China. The spatiotemporal distribution of different pharmaceuticals varied. Generally, the detection level in winter was higher than that in summer, and there was no significant difference between that upstream and that downstream. This might be mainly attributed to seasonal/regional use and emissions of the pharmaceuticals, the impact of flow rate on dilution, and the impact of temperature on biodegradation. Compared with those before the COVID-19 epidemic, the detection concentrations of the target pharmaceuticals were relatively low. The reason for this might be that the prevention and control of the epidemic reduced the use and emission of the pharmaceuticals to a certain extent, and the high rainfall and runoff strengthened the dilution of water flow. The target pharmaceuticals, especially antibiotics, posed medium or low risks to aquatic organisms (especially algae). Considering the ecological risks and genotoxicity of pharmaceuticals and the potential risks of antibiotic-resistant genes, it is suggested to strengthen the investigation, evaluation, treatment, and control of pharmaceuticals in the water environment.
Keywords:drinking water sources  antibiotics  anti-inflammatory drugs  seasonal variation  spatial distribution  ecological risk
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