Exposure assessment quantifies the magnitude, frequency, and duration of exposure in an
environmental compartment and is a key element in the risk characterization of micropollutants. The assessment is often completed using advanced analytical chemistry techniques and bioassays that detect the total biological activity such as estrogenicity. These methods can be limited by sampling logistics, analytical methods, and cost. Hence, water quality modeling can be useful to fill the data gaps on spatial and temporal distribution of micropollutants and can be employed to make predictions under different future scenarios.
With the support of the ETH Postdoctoral Fellowship, my research focuses on the simulation of the fate and transport of representative micropollutants in Swiss surface waters and aims to demonstrate the utility of models for complementing the current chemical measurements.