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Effect of pesticide fate parameters and their uncertainty on the selection of 'worst-case' scenarios of pesticide leaching to groundwater

机译:农药命运参数及其不确定性对农药浸入地下水“最坏情况”情景选择的影响

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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.
机译:背景:在欧盟进行农药注册时,针对最坏情况的模型模拟用于证明向地下水的淋溶浓度不超过临界阈值。最坏的情况是土壤和气候特性的组合,其预测的淋滤浓度高于某个区域内空间浓度分布的某个百分位数。由于土壤和农药命运参数的不确定性,情景的推导变得复杂。由于根据预测的淋溶浓度对气候和土壤属性组合的排名对不同农药而言是不同的,因此一种农药的最坏情况可能会误解另一种农药的最坏情况,从而导致“场景不确定性”。结果:农药归宿参数不确定性导致空间浓度分布的较高百分位数中的浓度较高,尤其是在较小且较均匀的区域中的分布。与局部浓度预测的不确定性和情景不确定性相比,农药命运参数不确定性对空间浓度分布的影响很小。结论:农药命运参数的不确定性和情景不确定性可以通过使用较高的空间浓度分布百分位数并考虑多种农药来进行情景选择来解决。

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