A validated 2-D diffusion–advection model for prediction of drift from ground boom sprayers |
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| Authors: | K Baetens QT Ho D Nuyttens M De Schampheleire A Melese Endalew MLATM Hertog B Nicolaï H Ramon P Verboven |
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| Institution: | 1. BIOSYST-MeBioS, Catholic University of Leuven, de Croylaan 42, 3001 Leuven, Belgium;2. Institute for Agricultural and Fisheries Research (ILVO), Scientific Institute of the Flemish Community, Technology and Food, Agricultural Engineering, Burg. Van Gansberghelaan 115, 9820 Merelbeke, Belgium;3. Department of Crop Protection, Ghent University, Coupure Links 653, 9000 Ghent, Belgium;1. The University of Queensland, Gatton 4343, Queensland, Australia;2. São Paulo State University - FCA, Department of Rural Engineering, Botucatu, São Paulo, Brazil;3. University of Nebraska-Lincoln, North Platte 69101, NE, USA;4. Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Toowoomba 4350, Queensland, Australia;1. Fera Science Limited, Fera (Room 02GA07), Sand Hutton, York, YO41 1LZ, UK;2. Silsoe Spray Applications Unit, NIAB, Building 42, Wrest Park, Silsoe, Bedford, MK45 4HP, UK;1. KU Leuven – University of Leuven, Department of Biosystems, MeBioS, De Croylaan 42, 3001 Leuven, Belgium;2. Institute for Agricultural and Fisheries Research (ILVO), Technology and Food Science Unit, Agricultural Engineering, Burg. Van Gansberghelaan 115, 9820 Merelbeke, Belgium;3. Research Station for Fruit Growing (PCFruit), Department of Ecology, Fruittuinweg 1, 3800 Sint-Truiden, Belgium |
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| Abstract: | Correct field drift prediction is a key element in environmental risk assessment of spraying applications. A reduced order drift prediction model based on the diffusion–advection equation is presented. It allows fast assessment of the drift potential of specific ground boom applications under specific environmental wind conditions that obey the logarithmic wind profile. The model was calibrated based on simulations with a validated Computational Fluid Dynamics (CFD) model. Validation of both models against 38 carefully conducted field experiments is successfully performed for distances up to 20 m from the field edge, for spraying on flat pasture land. The reduced order model succeeded in correct drift predictions for different nozzle types, wind velocities, boom heights and spray pressures. It used 4 parameters representing the physical aspects of the drift cloud; the height of the cloud at the field edge, the mass flux crossing the field edge, the settling velocity of the droplets and the turbulence. For the parameter set and range considered, it is demonstrated for the first time that the effect of the droplet diameter distribution of the different nozzle types on the amount of deposition spray drift can be evaluated by a single parameter, i.e., the volume fraction of droplets with a diameter smaller than 191 μm. The reduced order model can be solved more than 4 orders of magnitude faster than the comprehensive CFD model. |
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