Predicting long-term pharmaceutical concentrations during sewer overflows using a census data driven model

A new modelling framework, which combines census and georeferenced data with a mechanistic storm water model, was developed to predict concentration dynamics of pharmaceuticals (PhACs) during overflow events. The model was verified with measurements and used to perform a long-term (1 year) risk assessment in a small urban catchment in Switzerland. Results show that census and georeferenced data are useful information that can be used as new type of model inputs to correctly predict PhACs concentration during combined sewer overflow (CSO) events.