New tool predicts pesticide drift using airborne pesticide dispersion models, suggesting benefits for risk assessment.
To solve the constraints that are commonly faced in risk assessment, research on the modeling of the dispersion and distribution of pollutants in the environment are emerging, and software is being developed. This paper presents a tool that is based on the Eulerian approach coupled with Weibull’s law and the wind rose approach (called DRIMERA). This physically detailed modeling-based software can accurately predict pesticide drift under different weather conditions and calculate aerially applied pesticide concentrations in the environment at a threshold of p = 0.05; the values of the coefficient of determination r² vary between 0.6331 and 0.9876. This support thus helps facilitate the wider use and adaptation of atmospheric models.
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Kouadio et al. (2025) studied this question.
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