Pharmaceutical active compounds (PhACs) are a category of micropollutants frequently detected across integrated urban wastewater systems. Existing modelling tools supporting the evaluation of micropollutant fate in such complex systems, such as the IUWS_MP model library (which acronym IUWS stands for Integrated Urban Wastewater System), do not consider fate processes and fractions that are typical for PhACs. This limitation was overcome by extending the existing IUWS_MP model library with new fractions (conjugated metabolites, sequestrated fraction) and processes (consumption-excretion, deconjugation). The performance of the extended library was evaluated for five PhACs (carbamazepine, ibuprofen, diclofenac, paracetamol, furosemide) in two different integrated urban wastewater systems where measurements were available. Despite data uncertainty and the simplicity of the modelling approach, chosen to minimize data requirements, model prediction uncertainty overlapped with the measurements ranges across both systems, stressing the robustness of the proposed modelling approach. Possible applications of the extended IUWS_MP model library are presented, illustrating how this tool can support urban water managers in reducing environmental impacts from PhACs discharges.

药物活性化合物（PhAC）是在整个城市污水系统中经常检测到的一种微污染物。现有的支持在这种复杂系统中评估微污染物归宿的建模工具，例如IUWS_MP模型库（IUWS的缩写，IUWS代表城市污水综合系统），并未考虑PhAC的典型归宿过程和馏分。通过将现有的IUWS_MP模型库扩展为新的馏分（共轭代谢产物，螯合馏分）和过程（消耗-排泄，去结合）可以克服此限制。在两个可以测量的综合城市污水系统中，对五个PhAC（卡马西平，布洛芬，双氯芬酸，对乙酰氨基酚，速尿）的扩展文库的性能进行了评估。尽管存在数据不确定性和建模方法的简单性（选择以最小化数据需求），但是模型预测不确定性与两个系统的测量范围重叠，从而强调了所提出的建模方法的鲁棒性。本文介绍了扩展的IUWS_MP模型库的可能应用，说明了该工具如何支持城市水管理者减少PhAC排放对环境的影响。