Improved Parameterisation of Sediment Trapping in VFSMOD

Improving the predictive accuracy of VFSMOD for regulatory purposes

Stefan Reichenberger1, Robin Sur2, Stephan Sittig1*, Carolin Kley2, Sebastian Multsch1

1 knoell Germany GmbH, Konrad-Zuse-Ring 25, 68163 Mannheim, Germany
2 Bayer AG, Division Crop Science, Alfred-Nobel-Str. 50, 40789, Monheim, Germany

Vegetative filter strips (VFS) are the most widely implemented mitigation measure to reduce transfer of pesticides and other pollutants to surface water bodies via surface runoff. To reliably model VFS effectiveness in a risk assessment context, an event-based model is needed. The most commonly used dynamic, event-based model for this purpose is VFSMOD (Muñoz-Carpena and Parsons, 2014). VFSMOD simulates reductions of total inflow and incoming eroded sediment load mechanistically.

The overall objective of this study was to improve the predictive accuracy of VFSMOD for regulatory purposes by deriving a generic parameterisation method for sediment filtration via inverse modelling.

Event: SETAC Europe, Dublin 2020