title: User subjectivity in Monte Carlo modeling of pesticide exposure.
abstract: Monte Carlo techniques are increasingly used in pesticide exposure modeling to evaluate the uncertainty in predictions arising from uncertainty in input parameters and to estimate the confidence that should be assigned to the modeling results. The approach typically involves running a deterministic model repeatedly for a large number of input values sampled from statistical distributions. In the present study, six modelers made choices regarding the type and parameterization of distributions assigned to degradation and sorption data for an example pesticide, the correlation between the parameters, the tool and method used for sampling, and the number of samples generated. A leaching assessment was carried out using a single model and scenario and all data for sorption and degradation generated by the six modelers. The distributions of sampled parameters differed between the modelers, and the agreement with the measured data was variable. Large differences were found between the upper percentiles of simulated concentrations in leachate. The probability of exceeding 0.1 microg/L ranged from 0 to 35.7%. The present study demonstrated that subjective choices made in Monte Carlo modeling introduce variability into probabilistic modeling and that the results need to be interpreted with care.
authors.affiliation: Central Science Laboratory, Sand Hutton, York YO41 1LZ, United Kingdom. s.beulke@csl.gov.uk
authors.forename: Sabine
authors.initials: S
authors.lastname: Beulke
authors.forename: Colin D
authors.initials: CD
authors.lastname: Brown
authors.forename: Igor G
authors.initials: IG
authors.lastname: Dubus
authors.forename: Hector
authors.initials: H
authors.lastname: Galicia
authors.forename: Nicholas
authors.initials: N
authors.lastname: Jarvis
authors.forename: Dieter
authors.initials: D
authors.lastname: Schaefer
authors.forename: Marco
authors.initials: M
authors.lastname: Trevisan
mesh_terms: D009010:Monte Carlo Method; D010575:Pesticides / Q000633:toxicity*; D011336:Probability; D012989:Soil Pollutants / Q000633:toxicity*
chemical_list: D010575:Pesticides; D012989:Soil Pollutants