School of Environmental and Geographical Sciences, Shanghai Normal University, No. 100 Guilin Rd., Shanghai 200234, PR China.
School of Environmental and Geographical Sciences, Shanghai Normal University, No. 100 Guilin Rd., Shanghai 200234, PR China; Yangtze River Detal Urban Wetland Ecosystem National Filed Observation and Research Station, PR China.
Sci Total Environ. 2022 Jan 20;805:150258. doi: 10.1016/j.scitotenv.2021.150258. Epub 2021 Sep 14.
Due to the widespread consumption of antibiotics by humans and animals, antibiotic residues from human and animal excrements are released into the environment through domestic sewage and breeding wastewater, which ultimately affect the ecological environment and human health. In this study, the concentrations of 10 antibiotics in the air, water, soil, and sediment from 2013 to 2019 in Qingpu District of the integrated demonstration zone of the Yangtze River Delta were predicated by developing a dynamic Level IV fugacity model. The influence of seasonal environmental factors (e.g., temperature, rainfall) on the distribution and migration of antibiotics in multi-media was also explored. The simulation results show that the 10 antibiotics mainly existed in water and sediment. The concentrations of antibiotics in air, water, soil, and sediment were 0-7.629 × 10 ng/L, 1.187 × 10-16.793 ng/L, 1.042 × 10-3.500 × 10 ng/g and 8.015 × 10-14.188 ng/g, respectively. It was also found that the increase in temperature and rainfall can reduce the migration rate of some antibiotics into the water and sediment phases. The flux analysis of the cross-media migration and transformation of antibiotics in Qingpu District shows that advection was the prime input and output paths of antibiotics in the water. Moreover, the prime input and output paths of antibiotics in sediment were sedimentation from water to sediment and degradation. Sensitivity analysis shows that the characteristics of antibiotic emission, degradation rate, and K were the most influential parameters for target chemicals. The results of risk assessment based on Monte Carlo method reveal that the overall risk level of antibiotics in sediment was relatively risk-free, and the risk of antibiotics in water decreased in the order of tetracyclines > β-lactams > fluoroquinolones > macrolides > sulfonamides.
由于人类和动物广泛使用抗生素，人类和动物粪便中的抗生素残留通过生活污水和养殖废水释放到环境中，最终影响生态环境和人类健康。本研究采用四级逸度模型预测了 2013 年至 2019 年长三角一体化示范区青浦地区空气、水、土壤和沉积物中 10 种抗生素的浓度，并探讨了季节性环境因素（如温度、降雨）对多介质中抗生素分布和迁移的影响。模拟结果表明，这 10 种抗生素主要存在于水中和沉积物中。空气中、水中、土壤中和沉积物中抗生素的浓度分别为 0-7.629×10ng/L、1.187×10-16.793ng/L、1.042×10-3.500×10ng/g 和 8.015×10-14.188ng/g。此外，研究还发现温度和降雨量的增加会降低部分抗生素向水相和沉积物相迁移的速率。青浦地区抗生素跨介质迁移转化通量分析表明，对流是抗生素在水中的主要输入和输出途径。此外，抗生素在沉积物中的主要输入和输出途径是从水到沉积物的沉降和降解。敏感性分析表明，抗生素排放、降解率和 K 的特征是目标化学物质最具影响力的参数。基于蒙特卡罗法的风险评估结果表明，沉积物中抗生素的整体风险水平相对无风险，水中抗生素的风险按四环素类>β-内酰胺类>氟喹诺酮类>大环内酯类>磺胺类的顺序降低。
