A FATTY LOGIC-BASED APPROACH TO ASSESS IMPRECISIONS OF SOIL-WATER CONTAMINATION MODELING

Modelling of water and solute movement in soils generally requires a g reat number of parameters which are imprecise. In this paper, we focus on various types of imprecisions introduced either by subjective or s tate-of-the-art estimates of coefficients, or through measurement erro r, and on their evaluation by fuzzy set and fuzzy logic theory. After summarising the theoretical framework, the paper provides an example o f an application dealing with estimates of imprecisions associated wit h the advective flux of atrazine in the unsaturated calcareous soil of the Grand Morin watershed, France. (C) 1998 Elsevier Science B.V. All rights reserved.