Author:

Keywords:

dust drift, seed, pesticide, CFD, honeybee, Science & Technology, Life Sciences & Biomedicine, Physical Sciences, Environmental Sciences, Meteorology & Atmospheric Sciences, Environmental Sciences & Ecology, Dust drift, Seed, Pesticide, Honeybee, TREATED SEEDS, HONEY-BEES, PARTICULATE MATTER, ABRASION DUST, NEONICOTINOIDS, DISPERSION, PARTICLES, DRIFT, TURBULENCE, TESTS, 0104 Statistics, 0401 Atmospheric Sciences, 0907 Environmental Engineering, 3701 Atmospheric sciences, 3702 Climate change science, 4011 Environmental engineering

Abstract:

An Eulerian-Lagrangian 3D computational fluid dynamics (CFD) model of pesticide dust drift from precision vacuum planters in field conditions was developed. Tractor and planter models were positioned in an atmospheric computational domain, representing the field and its edges. Physicochemical properties of dust abraded from maize seeds (particle size, shape, porosity, density, a.i. content), dust emission rates and exhaust air velocity values at the planter fan outlets were measured experimentally and implemented in the model. The wind profile, the airflow pattern around the machines and the dust dispersion were computed. Various maize sowing scenarios with different wind conditions, dust properties, planter designs and vacuum pressures were simulated. Dust particle trajectories were calculated by means of Lagrangian particle tracking, considering nonspherical particle drag, gravity and turbulent dispersion. The dust dispersion model was previously validated with wind tunnel data. In this study, simulated pesticide concentrations in the air and on the soil in the different sowing scenarios were compared and discussed. The model predictions were similar to experimental literature data in terms of concentrations and drift distance. Pesticide exposure levels to bees during flight and foraging were estimated from the simulated concentrations. The proposed CFD model can be used in risk assessment studies and in the evaluation of dust drift mitigation measures.