Abstract
The dispersion of aerially released pesticides over a forest canopy is modelled. Numerical results are compared with ARAL (AES Rapid Acquisition LIDAR) measurements of cloud drift obtained during pesticide spray field trials in the province of New Brunswick. Spray cloud dispersion and trajectory predictions are generated from PKBW3 (Picot, Kristmanson, Basak-Brown and Wallace, Version 3); a numerical model developed for forestry aerial spraying. Spray cloud behaviour is determined by considering the trajectories of individual droplets released from the aircraft. Trajectories are initially calculated from a pseudo-ideal flow theory of aircraft vortex motion. After the aircraft trailing vortices have dissipated to background levels of atmospheric turbulence, droplet trajectory calculations are continued with a Monte Carlo technique for simulating droplet motion in a turbulent atmosphere.
Results for spray cloud trajectory predictions are sutdied for up to one minute after the droplets are released from the aircraft. spray cloud behaviour under two different conditions of atmospheric stability (very stable and slightly unstable) is examined by comparing PKBW3 predictions with LIDAR measurements. Maxima generated from cross-sectional profiles of the spray clouds (number of drops per cross-section X total projected surface area of droplets) gave comparable decay curves in the numerical and experimental results.
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Wallace, D. J., Picot, J. J. C. and Kristmanson, D. D., 1989, A Numerical Model for Forestry Aerial Spraying Operation: PKBW2, Submitted to Crop Protection.
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© 1991 Springer Science+Business Media New York
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Wallace, D.J., Mickle, R.E., Hoff, R.M., Froude, F., Arnold, A.J. (1991). Numerical Modelling of Cloud Dispersion in Forestry Pesticide Spraying Operations. In: van Dop, H., Steyn, D.G. (eds) Air Pollution Modeling and Its Application VIII. NATO · Challenges of Modern Society, vol 15. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3720-5_62
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DOI: https://doi.org/10.1007/978-1-4615-3720-5_62
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