Probabilistic exposure assessments incorporate spatial and temporal characterization of exposure duration, frequency, and magnitude. Waterborne has a wealth of experience in performing probabilistic assessments for ecological and human health endpoints.
As part of a probabilistic assessment, Monte Carlo simulations are utilized to generate input distributions that mimic natural variability and statistical methods are used to define exposure duration, frequency, and magnitude.
Waterborne has performed many studies using spatial approaches to examine the natural variability in the agricultural landscape and to create distributions of potential exposure in the agricultural landscape for aquatic exposure assessments. This information is used to generate probabilistic inputs for pesticide aquatic exposure modeling. The knowledge gained from these studies is useful in reducing the uncertainty of some aspects of exposure assessment which aids the regulatory decision-making process.