title: Aquatic Exposure Predictions of Insecticide Field Concentrations Using a Multimedia Mass-Balance Model.
abstract: Highly complex process-driven mechanistic fate and transport models and multimedia mass balance models can be used for the exposure prediction of pesticides in different environmental compartments. Generally, both types of models differ in spatial and temporal resolution. Process-driven mechanistic fate models are very complex, and calculations are time-intensive. This type of model is currently used within the European regulatory pesticide registration (FOCUS). Multimedia mass-balance models require fewer input parameters to calculate concentration ranges and the partitioning between different environmental media. In this study, we used the fugacity-based small-region model (SRM) to calculate predicted environmental concentrations (PEC) for 466 cases of insecticide field concentrations measured in European surface waters. We were able to show that the PECs of the multimedia model are more protective in comparison to FOCUS. In addition, our results show that the multimedia model results have a higher predictive power to simulate varying field concentrations at a higher level of field relevance. The adaptation of the model scenario to actual field conditions suggests that the performance of the SRM increases when worst-case conditions are replaced by real field data. Therefore, this study shows that a less complex modeling approach than that used in the regulatory risk assessment exhibits a higher level of protectiveness and predictiveness and that there is a need to develop and evaluate new ecologically relevant scenarios in the context of pesticide exposure modeling.
authors.affiliation: Institute for Environmental Sciences, University of Koblenz-Landau , Fortstrasse 7, D-76829 Landau, Germany.
authors.forename: Anja
authors.initials: A
authors.lastname: Knäbel
authors.affiliation: Institute of Sustainable and Environmental Chemistry, Leuphana University of Lüneburg , Scharnhorststrasse 1, D-21335 Lüneburg, Germany.|Institute for Chemical and Bioengineering, ETH Zürich , CH-8093 Zürich, Switzerland.
authors.forename: Martin
authors.initials: M
authors.lastname: Scheringer
authors.affiliation: Institute for Environmental Sciences, University of Koblenz-Landau , Fortstrasse 7, D-76829 Landau, Germany.
authors.forename: Sebastian
authors.initials: S
authors.lastname: Stehle
authors.affiliation: Institute for Environmental Sciences, University of Koblenz-Landau , Fortstrasse 7, D-76829 Landau, Germany.
authors.forename: Ralf
authors.initials: R
authors.lastname: Schulz
mesh_terms: D059001:Aquatic Organisms; D054750:Ecotoxicology / Q000379:methods; D005062:European Union; D007306:Insecticides / Q000032:analysis* / Q000633:toxicity; D008962:Models, Theoretical; D018570:Risk Assessment; D014874:Water Pollutants, Chemical / Q000032:analysis* / Q000633:toxicity
chemical_list: D007306:Insecticides; D014874:Water Pollutants, Chemical