A Review of Computer Models for Pesticide Deposition Prediction

摘要

This article reviews approaches to analytical pesticide deposition modeling for aerial, ground boom, and orchard airblast sprayer applications, and describes modeling approaches including the Lagrangian model commonly used for aerial spraying, which tracks the mean position and standard deviation of spray material released into the ambient environment. This review also describes the approaches used in mechanistic ground sprayer modeling, including near-nozzle effects and spray sheet obstruction of the ambient flow. The random-walk approach for ground spraying and the significant computational fluid dynamics (CFD) problem associated with modeling orchard airblast spraying are also described. These mechanistic approaches predict the spray deposition downwind from an application area for any set of initial conditions, and can recover results consistent with field datasets. Incorporation of spray deposition modeling into a Geographic Information System (GIS) platform is also discussed.