Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 411113
Title Effect of pesticide fate parameters and their uncertainty on the selection of 'worst-case' scenarios od pesticide leaching to groundwater
Author(s) Vanderborght, J.; Tiktak, A.; Boesten, J.J.T.I.; Vereecken, H.
Source Pest Management Science 67 (2011)3. - ISSN 1526-498X - p. 294 - 306.
DOI http://dx.doi.org/10.1002/ps.2066
Department(s) CWC - Environmental Risk Assessment
Publication type Refereed Article in a scientific journal
Publication year 2011
Keyword(s) soil - degradation - lysimeters - variability - simulation - europearl - sorption - field
Abstract BACKGROUND: For the registration of pesticides in the European Union, model simulations for worst-case scenarios are used to demonstrate that leaching concentrations to groundwater do not exceed a critical threshold. A worst-case scenario is a combination of soil and climate properties for which predicted leaching concentrations are higher than a certain percentile of the spatial concentration distribution within a region. The derivation of scenarios is complicated by uncertainty about soil and pesticide fate parameters. As the ranking of climate and soil property combinations according to predicted leaching concentrations is different for different pesticides, the worst-case scenario for one pesticide may misrepresent the worst case for another pesticide, which leads to ‘scenario uncertainty’. RESULTS: Pesticide fate parameter uncertainty led to higher concentrations in the higher percentiles of spatial concentration distributions, especially for distributions in smaller and more homogeneous regions. The effect of pesticide fate parameter uncertainty on the spatial concentration distribution was small when compared with the uncertainty of local concentration predictions and with the scenario uncertainty. CONCLUSION: Uncertainty in pesticide fate parameters and scenario uncertainty can be accounted for using higher percentiles of spatial concentration distributions and considering a range of pesticides for the scenario selection
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