Model-supported ranking of pesticides with regard to risk assessment exemplified in Triazine compounds

摘要

The use of simulation models to assess the exposure to chemicals is widely accepted. A highly sophisticated model, like SNAPS, includes the transport processes within the unsaturated soil zone and plants and therefore allows estimating plant contamination as a transfer pathway for health risk assessment due to oral uptake processes. Such models though need many specific data regarding chemicals, their application pattern and environmental data. Therefore, it is also of interest to strengthen the efforts in applying simpler models, like those classical models of Jury and deriving descriptors of the chemical behavior, to deduce a partial ordering of the chemicals of interest and from that derive a ranking probability distribution by application of order-preserving mathematical mappings. On the background of a brief discussion of the SNAPS and Jury models, this concept has been illustrated by an application in order to find probability distribution functions for different Triazine compounds.