Post-application volatilisation of pesticides is a major potential pathway
of pesticide distribution to non-target areas. When trying to assess the vo
latilisation potential of a given pesticide (i. e., its volatility) based o
n volatilisation measurements one is faced with a number of uncertainties.
All volatilisation measurements are influenced by a number of parameters wh
ich depend on the experimental design. While the qualitative nature of the
influence often is understood the effects usually cannot be quantified. Whe
n assessing pesticide volatility based on the physicochemical properties of
the active ingredient other uncertainties need to be addressed: the most i
mportant property, vapour pressure, is difficult to measure and a broad ran
ge of values have been published for many active ingredients. Water solubil
ity is not determined easily, either. Above all, these properties are usual
ly measured for the active ingredient only but not for the formulated produ
ct. Fuzzy logic provides a means of quantifying vague knowledge of processe
s and properties. Based on existing expert knowledge and our own experiment
al work we have developed fuzzy controllers describing pesticide volatility
and volatilisation from soil. In combination wish results from simple (i.
e., influenced by few parameters) volatilisation measurements these control
lers may constitute a valuable tool for volatility assessment.