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Evaluation of probabilistic modelling approaches against data on leaching of isoproturon through undisturbed lysimeters

By Sabine Beulke, Colin D. Brown, Igor G. Dubus, Christopher J. Fryer and Allan Walker

Abstract

This study evaluated probabilistic modelling approaches against data on leaching of isoproturon through two contrasting soil types. Leaching through undisturbed lysimeters from a sandy loam (Wick series) and a moderately structured clay loam (Hodnet series) was investigated in seven replicates. The variability of soil properties and of sorption and degradation of isoproturon was estimated by taking 6-14 samples within the areas of lysimeter extraction in the field. Normal distributions were assigned to Koc and DT50 and a large number of values for these two parameters were sampled from each distribution. Parameter values were used to simulate movement of isoproturon through the lysimeters with the preferential flow model MACRO. Uncertainty in output distributions was compared with the variability of measured data. A constrained probabilistic assessment varying only degradation and sorption properties was sufficient to match the observed variability in cumulative leaching from the coarse-textured Wick soil (CV = 79%). Variation of pesticide properties alone could not match observed variability in cumulative leaching from the structured Hodnet soil (CV = 61%) and variability in a number of soil properties was incorporated. For both soils, constrained probabilistic approaches where only the top few most sensitive model inputs were varied were sufficient to match or exceed observed variability

Topics: Groundwater
Publisher: Elsevier
Year: 2004
DOI identifier: 10.1016/j.ecolmodel.2004.05.007
OAI identifier: oai:dspace.lib.cranfield.ac.uk:1826/814
Provided by: Cranfield CERES
Journal:

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Citations

  1. (1997). Atrazine sorption at the field scale in relation to soils and landscape position. doi
  2. (1997). Characterization of spatial variability structure in three separate field trials on pesticide dissipation. doi
  3. (2000). Comparison of the performance of pesticide-leaching models on a cracking clay soil: results using the Brimstone Farm dataset. doi
  4. (1999). Evaluation of a dual-porosity model to predict fieldscale solute transport in a macroporous soil. doi
  5. (2001). Evaluation of the use of uncalibrated preferential flow models against data for isoproturon movement to drains through a heavy clay soil. doi
  6. (1998). Incorporating uncertainty in a chemical leaching assessment. doi
  7. (1999). Integrating Environmental Fate and Effects Information: The Keys to Ecotoxicological Risk Assessment for Pesticides. In: doi
  8. (1998). Investigation into the effect of tillage on solute movement through a heavy clay soil. II. Interpretation using a radioscanning technique, dye-tracing and modelling. doi
  9. (1999). Landscape-Scale Environmental Modeling. In: doi
  10. (2002). Lysimeter study to investigate the effect of rainfall patterns on leaching of isoproturon. doi
  11. (1996). Model predictions and field measurements of chlorosulfuron leaching under non-steady-state flow conditions. doi
  12. (1997). Modeling the probabilities of groundwater contamination by pesticides. doi
  13. (1994). PEST: Model-independent parameter estimation. Watermark Computing,
  14. (2002). Sensitivity and first-step uncertainty analyses for the preferential flow model MACRO. doi
  15. (1999). Simulating pesticide transport via preferential flow: a current perspective. In: Del Re,
  16. (1997). Simulation and model comparison of unsaturated movement of pesticides from a large clay lysimeter.. doi
  17. (2003). Sources of uncertainty in pesticide fate modelling. doi
  18. (1996). Spatial and temporal variation of isoproturon residues and associated sorption/desorption parameters at the field scale. doi
  19. (1983). Spatial variability in herbicide degradation rates and residues in soil. doi
  20. (1993). Spatial variability of microbial processes in soil - a review. doi
  21. (1986). Spatial variability of pesticide adsorption parameters. doi
  22. (1985). Spatial variability of pesticides in field soil: methods for data analysis and consequences.
  23. (1999). Spatial-temporal variability of preferential flow in a clay soil under no-till and plow-till. doi
  24. (1991). Statistical and graphical methods for evaluating solute transport models: overview and application. doi
  25. (1999). Stochastic simulation of field-scale pesticide transport using Opus and GLEAMS. doi
  26. (1994). The MACRO model (Version 3.1. Technical description and sample simulations.
  27. (1993). Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal. doi
  28. (1994). UNCSAM: a tool for automating sensitivity and uncertainty analysis. doi
  29. (2002). Validation of Pesticide Root Zone Model 3.12: employing uncertainty analysis. doi
  30. (1998). Variability of solute transport in field lysimeters. doi

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