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优化多媒体归宿模型以表征季节性冰封水库中氟苯尼考的环境风险。

Optimizing the multimedia fate model for characterizing environmental risks of florfenicol in seasonally ice-covered reservoirs.

作者信息

Sun Zujian, Zhang Liwen, Dong Deming, Guo Zhiyong

机构信息

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.

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.

出版信息

Environ Pollut. 2023 Apr 15;323:121299. doi: 10.1016/j.envpol.2023.121299. Epub 2023 Feb 17.

Abstract

Seasonally ice-covered reservoirs have both freeze-thaw and artificial regulation characteristics which could cause the accumulation of antibiotics. Florfenicol, one of the most widely used veterinary antibiotics, with an environmental persistence due to its fluorinated substituents has been detected in the suburban drinking water source reservoirs. In this study, a four-level fugacity model that is appropriate for ice-water-sediment systems was developed to predict the fate of florfenicol and assess its ecological risk in seasonally ice-covered reservoirs. The effects of freeze-thaw and artificial regulation processes on the volume variation of ice and water were considered by the model. The simulation accuracies in ice and water in the model were improved by 3.9% and 17.7%, respectively, compared with the traditional model. The results of mass transfer analysis showed that the inflow of florfenicol in tributaries and the volume variation of ice and water were the major factors influencing the concentration variation of florfenicol in the seasonally ice-covered reservoir. Additionally, ecological risk analysis showed that the values of risk quotients ranged from 0.019 to 0.038 which was consistently at a low ecological risk level. Our findings provide a modeling tool for predicting the fate of antibiotics with persistence and assessing their ecological risks in seasonally freeze-thaw reservoirs in cold regions.

摘要

季节性冰封水库具有冻融和人工调控特性,这可能导致抗生素的积累。氟苯尼考是使用最广泛的兽用抗生素之一,因其含氟取代基而具有环境持久性,已在城郊饮用水源水库中被检测到。在本研究中,开发了一种适用于冰 - 水 - 沉积物系统的四级逸度模型,以预测氟苯尼考的归趋并评估其在季节性冰封水库中的生态风险。该模型考虑了冻融和人工调控过程对冰和水体积变化的影响。与传统模型相比,该模型在冰和水中的模拟精度分别提高了3.9%和17.7%。传质分析结果表明,支流中氟苯尼考的流入以及冰和水的体积变化是影响季节性冰封水库中氟苯尼考浓度变化的主要因素。此外,生态风险分析表明,风险商值范围为0.019至0.038,始终处于低生态风险水平。我们的研究结果提供了一种建模工具,用于预测具有持久性的抗生素的归趋并评估其在寒冷地区季节性冻融水库中的生态风险。

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