Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin Provincial Key Laboratory of Water Resources and Environment, College of New Energy and Environment, Jilin University, Changchun, 130012, China.
Jilin Entry - Exit Inspection and Quarantine Bureau, Changchun Customs District, Changchun, 130062, People's Republic of China.
Environ Sci Pollut Res Int. 2019 Jun;26(17):17351-17361. doi: 10.1007/s11356-019-05121-1. Epub 2019 Apr 23.
As a result of the widespread use of antibiotics, a large amount of excretions from human and animals, containing antibiotic residues, is discharged into aquatic environments, leading to potential adverse effects on the ecosystems' health. These residues' impact on seasonally ice-covered rivers remains under investigated. To understand the environmental fate of antibiotics with high-detection frequencies and concentration levels, sulfamethoxazole, lincomycin, and florfenicol were used as models in the present study. A Level IV fugacity model was established and applied to a seasonally ice-covered river receiving municipal wastewater treatment plant (WWTP) effluents, the Songhua River in Northeast China. Model validation and sensitivity analysis suggested that the fugacity model could successfully simulate the monitoring concentration within an average difference of one logarithmic unit. The advection process played a major role in the transport and attenuation of the antibiotics in the ice-covered river receiving WWTP effluents. The scenario simulation indicated that increasing the targeted antibiotic concentrations in WWTP effluents to μg L could keep the targeted antibiotic concentrations higher than 10 ng L in the receiving river from the WWTP discharge source to 25 km downstream. This finding also demonstrates that the depth of water and ice, as well as flow velocity, play key roles in the fate of antibiotics in the ice-covered river receiving WWTP effluents. To our best knowledge, this is the first major study to combine experimental investigation with modeling to explore the environmental behaviors and fate of antibiotics in such a river.
由于抗生素的广泛使用，大量含有抗生素残留的人类和动物排泄物被排放到水生环境中，这可能对生态系统的健康产生潜在的不利影响。这些残留物对季节性冰封河流的影响仍在研究之中。为了了解高检出频率和高浓度水平的抗生素在环境中的归宿，本研究选择磺胺甲恶唑、林可霉素和氟苯尼考作为模型。建立了四级逸度模型，并将其应用于接收城市污水处理厂（WWTP）出水的季节性冰封河流-中国东北的松花江。模型验证和敏感性分析表明，逸度模型可以成功模拟监测浓度，平均差异在一个对数单位内。对流过程在冰封河流中抗生素的输运和衰减中起着主要作用。情景模拟表明，将 WWTP 出水中目标抗生素的浓度提高到μg/L 可以使从 WWTP 排放源到 25 公里下游的接收河流中目标抗生素的浓度保持在 10ng/L 以上。这一发现还表明，水深和冰厚以及流速在 WWTP 出水接收冰封河流中抗生素的归宿中起着关键作用。据我们所知，这是首次将实验研究与模型相结合，探索此类河流中抗生素的环境行为和归宿的重要研究。
