Models – Aerial, Ground boom, and Other



Regulatory authorities and the private sector have developed a variety of models that can predict or estimate the spray drift potential of an applied chemical under a variety of conditions and application methods.  Regulatory authorities may use one or more models for their risk assessment process for pesticides which factors into risk management and regulatory decisions for the use of pesticides.  Below are links to scientifically validated models that are posted on websites of regulatory authorities.


Australia I Belgium I  Netherlands I  United States




Australian Pesticides & Vetinary Medicines Authority (APVMA)

  • The above page contains links to all 19 of the APVMAs standard application scenarios used in its spray drift risk assessments.   The scenarios are divided into three groups – ‘ground application’, ‘aerial agricultural application’ and 'aerial forestry application’.   Each individual scenario includes a graph of its downwind deposition profile as well as numerical values of deposition for each two metres downwind for the full extent of the data;





Belgian research consortium


Drift reduction from field crop sprayers using an integrated approach (in Dutch)

Development and application of drift prediction models in field spraying





The spray drift model IDEFICS is used for the classification of spray nozzles in drift reducing classes





Environmental Protection Agency


US EPA uses two models AgDRIFT and AGDISP for estimating spray drift and deposition for its risk assessment and risk management decisions for the registration of agricultural pesticides.  Both models are used for estimating drift from aerial applications and AgDRIFT is used for estimating drift from ground boom and air-blast applications.  The Spray Drift Task Force (major agricultural pesticide manufacturers) in collaboration with EPA and the US Department of Agriculture (USDA) developed AgDRIFT based on the existing AGDISP model developed by the US Forest Service (  EPA continues to collaborate with USDA and industry and experts from other countries to refine these models.


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