Literature DB >> 12192898

Calibration of pesticide leaching models: critical review and guidance for reporting.

Igor G Dubus1, Sabine Beulke, Colin D Brown.   

Abstract

Calibration of pesticide leaching models may be undertaken to evaluate the ability of models to simulate experimental data, to assist in their parameterisation where values for input parameters are difficult to determine experimentally, to determine values for specific model inputs (e.g. sorption and degradation parameters) and to allow extrapolations to be carried out. Although calibration of leaching models is a critical phase in the assessment of pesticide exposure, lack of guidance means that calibration procedures default to the modeller. This may result in different calibration and extrapolation results for different individuals depending on the procedures used, and thus may influence decisions regarding the placement of crop-protection products on the market. A number of issues are discussed in this paper including data requirements and assessment of data quality, the selection of a model and parameters for performing calibration, the use of automated calibration techniques as opposed to more traditional trial-and-error approaches, difficulties in the comparison of simulated and measured data, differences in calibration procedures, and the assessment of parameter values derived by calibration. Guidelines for the reporting of calibration activities within the scope of pesticide registration are proposed.

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Year:  2002        PMID: 12192898     DOI: 10.1002/ps.526

Source DB:  PubMed          Journal:  Pest Manag Sci        ISSN: 1526-498X            Impact factor:   4.845


  2 in total

1.  Modeling the risk of water pollution by pesticides from imbalanced data.

Authors:  Aneta Trajanov; Vladimir Kuzmanovski; Benoit Real; Jonathan Marks Perreau; Sašo Džeroski; Marko Debeljak
Journal:  Environ Sci Pollut Res Int       Date:  2018-04-30       Impact factor: 4.223

2.  Uncertainty in dual permeability model parameters for structured soils.

Authors:  B Arora; B P Mohanty; J T McGuire
Journal:  Water Resour Res       Date:  2012-01       Impact factor: 5.240

  2 in total

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