A large number of micropollutants and their transformation products - veterinary and human pharmaceuticals, personal care products, pesticides and biocides, chlorinated compounds, heavy metals - threaten the quality of surface water and groundwater. The large diversity of compounds and of their sources make the quantification of their occurrence in water bodies across space and time a challenging task. For many catchments, monitoring programmes cover a small selection out of the compound diversity and quantify these selected compounds only at coarse temporal and spatial resolution. Modeling is a complementary tool to generalize measured data, which is needed as a basis for decision making, but they cannot eliminate the uncertainties caused by limited data sets.
This session invites contributions that improve our quantitative understanding of the mass fluxes, the fate and transport of micropollutants at the catchment scale. The latest developments in modeling, process studies and monitoring shall be discussed. Approaches integrating urban and agricultural sources are especially encouraged. Topics cover issues like:

- Novel sampling and monitoring concepts
- Innovative model approaches for contaminant transport at the catchment scale
- Experimental studies and new modelling approaches to quantify point source inputs of micropollutants into surface water at the catchment scale
- Comparative fate studies on parent compounds and transformation products at the catchment scale
- Integrated transport modeling for mixed urban and agricultural catchments representing all relevant sources and pathways
- Optimal combination of modeling and monitoring to assess the water quality regarding micropollutants
- Uncertainty in the assessment of ungauged or poorly gauged catchments
- Connectivity of natural and anthropogenic flowpaths
-Experimental and modeling studies on mitigation of inputs of diffuse and point-source pollutants into ground- and surface water
- Bridging the gap between communities and disciplines: catchment modeling vs.regulatory modeling, dynamic fate vs. risk assessment and management