The feasibility of a phenomenological influent generator model is demonstrated.
The influent model can describe the dynamics of traditional variables as well as pharmaceuticals.
The influent generator can effectively extrapolate time series.
The importance of in-sewer biotransformation is shown when estimating consumption loads of drugs.