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Integrated stochastic modeling of pharmaceuticals in sewage networks

机译:污水网络中药品的集成随机建模

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Pharmaceuticals and particularly antibiotics can harm sensitive aquatic species. Their occurrence in urban wastewater systems is the consequence of five successive processes: (i) ingestion of the substance, (ii) accumulation in the urine, (iii) excretion, (iv) degradation in the sewer system and (v) transport to the wastewater treatment plant (WTP). These processes were included in an integrated model that can be used to assess the dynamics of pharmaceuticals at a WTP inlet. First, information on sales data, posology, pharmacokinetics and toilet flushing frequency were combined to create a source model of pharmaceuticals entering a sewer system. This production function was then coupled with a transport/degradation model to simulate concentrations of pharmaceuticals at a WTP inlet. In an example application, the full model was applied to simulate the concentration of the antibiotic ciprofloxacin on an hourly time scale. In this application, the model was calibrated and validated for a case study at a WTP in Lausanne, Switzerland. Validation of the integrated approach was successful despite the high variability evident in the model results. This modeling approach has potential use in pollution management and epidemiology related to wastewater.
机译:药品,尤其是抗生素会损害敏感的水生物种。它们在城市废水系统中的出现是五个连续过程的结果:(i)摄入该物质;(ii)尿液中的积累;(iii)排泄;(iv)下水道系统中的降解;以及(v)输送至污水处理厂。废水处理厂(WTP)。这些过程包含在一个集成模型中,该模型可用于评估WTP入口处的药品动态。首先,结合销售数据,位置,药代动力学和厕所冲水频率的信息,以创建进入下水道系统的药品的源模型。然后将此生产功能与运输/降解模型耦合,以模拟WTP入口处的药物浓度。在一个示例应用程序中,将完整模型应用于以小时为单位模拟抗生素环丙沙星的浓度。在此应用中,该模型已经过校准和验证,可用于瑞士洛桑的WTP的案例研究。尽管模型结果明显存在高度可变性,但集成方法的验证还是成功的。这种建模方法在与废水有关的污染管理和流行病学中具有潜在用途。

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