Casanova Drift Model (CDM): First insights into a mechanistic spray drift model for ground application of plant protection products

Drift risk assessments (RA) in most countries rely on either Tier 1 drift tables (e.g. the EU) or simple statistical models derived from data (e.g. AgDisp in the USA, Australia, Brazil, etc.) resulting in buffer distances that can be excessively large and unrealistic. A major missing component of a tiered drift RA is an absence of publicly available and regulatory acceptable higher tier mathematical models that can provide conservative yet realistic estimates of spray drift – and here we expressly mean ground-based applications. Thus, a refined mechanistic arable crop spray drift model – the Casanova Drift Model (CDM) – is presented. The model is a mixture of ballistic tracking of droplets (Lagrangian transport of water droplets through air in time) combined with equations dealing with droplet evaporation, a representation of the horizontal wind profile, an approximation of canopy effects, a droplet size distribution, and a simplified description of spray sheet breakup. A cloud-based computationally-efficient interface has been developed using the R-Shiny platform – a single run takes less than a minute – and the entire coding is in C++ and R. The model has been calibrated and validated against not only Bayer (internal) field data but also European research data from four countries. Preliminary work assessing relative performance (i.e. relative changes in drift due to operational variables such as wind speed) and absolute performance (i.e. modelled drift curves that match results on the ground) are presented. The model includes modules that may help address issues raised during the SETAC DRAW discussions (e.g. sampler capture efficiency; locale). Plans are being made to have this model reviewed by key drift model experts. Afterwards, the source code, interface, and a library of droplet spectra for the standard flat fan nozzles used in EU drift trials will be made freely available. In this upload, we provide presentations and papers presented at various conference as well as a first draft of the user manual.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-16
DOI
https://doi.org/10.5281/zenodo.18523934
Primary Topic
Plant Surface Properties and Treatments
Type
article
Field-Weighted Citation Impact
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article

Casanova Drift Model (CDM): First insights into a mechanistic spray drift model for ground application of plant protection products

Rena Isemer, Zhenglei Gao, Andrew Charles Chapple, Dieter Schaefer et al.
Zenodo (CERN European Organization for Nuclear Research)
Plant Surface Properties and Treatments
article

Casanova Drift Model (CDM): First insights into a mechanistic spray drift model for ground application of plant protection products

Rena Isemer, Zhenglei Gao, Andrew Charles Chapple, Dieter Schaefer, Ed Casanova, Anastasiia Bolekhan, Naresh Pai, Anzhela Tamazashvili
article en

Abstract

Drift risk assessments (RA) in most countries rely on either Tier 1 drift tables (e.g. the EU) or simple statistical models derived from data (e.g. AgDisp in the USA, Australia, Brazil, etc.) resulting in buffer distances that can be excessively large and unrealistic. A major missing component of a tiered drift RA is an absence of publicly available and regulatory acceptable higher tier mathematical models that can provide conservative yet realistic estimates of spray drift – and here we expressly mean ground-based applications. Thus, a refined mechanistic arable crop spray drift model – the Casanova Drift Model (CDM) – is presented. The model is a mixture of ballistic tracking of droplets (Lagrangian transport of water droplets through air in time) combined with equations dealing with droplet evaporation, a representation of the horizontal wind profile, an approximation of canopy effects, a droplet size distribution, and a simplified description of spray sheet breakup. A cloud-based computationally-efficient interface has been developed using the R-Shiny platform – a single run takes less than a minute – and the entire coding is in C++ and R. The model has been calibrated and validated against not only Bayer (internal) field data but also European research data from four countries. Preliminary work assessing relative performance (i.e. relative changes in drift due to operational variables such as wind speed) and absolute performance (i.e. modelled drift curves that match results on the ground) are presented. The model includes modules that may help address issues raised during the SETAC DRAW discussions (e.g. sampler capture efficiency; locale). Plans are being made to have this model reviewed by key drift model experts. Afterwards, the source code, interface, and a library of droplet spectra for the standard flat fan nozzles used in EU drift trials will be made freely available. In this upload, we provide presentations and papers presented at various conference as well as a first draft of the user manual.

Zenodo (CERN European Organization for Nuclear Research)
Bayer (Germany) (DE)
Openalex Percentile: Top 54%
Plant Surface Properties and Treatments
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