Casanova Drift Model (CDM)

A mechanistic model for simulating pesticide spray drift during agricultural applications

Research: Vertical Drift Distribution

Enhancing Spray Drift Assessment

Integration of vertical drift distribution in the Casanova Drift Model for non-target organism risk evaluation.

Background

Spray drift modeling has become increasingly important in the regulatory assessment of crop protection product applications, particularly as concerns grow over the potential impacts on non-target organisms, including:

Regulatory frameworks demand accurate predictions of drift behavior to ensure the safety of ecosystems adjacent to agricultural fields.

Current Limitations

Existing models primarily generate spray drift deposition curves without accounting for vertical distribution. This limits the ability to assess:

CDM Enhancement Approach

The Casanova Drift Model provides enhanced simulation capabilities to estimate not only deposition curves but also vertical drift profiles.

Mechanistic Approach

The model employs CVODE integration to track droplet trajectories using a six-component solution vector:

Component Symbol Description
Vertical position Z Height above ground
Horizontal position X Downwind distance
Vertical velocity V_z Vertical speed
Horizontal velocity V_x Horizontal speed
Water mass M_w Droplet water content
Wind velocity V_vwx Local horizontal wind speed

By solving coupled ODEs that account for drag forces, evaporation, and wind profile interactions, the model captures the complete three-dimensional transport of droplets from nozzle release through deposition.

Key Factors Analyzed

Preliminary (Expected) Results

Impact

This advancement is expected to:


Keywords: spray drift modeling, vertical drift distribution, non-target arthropods, non-target terrestrial plants, regulatory assessment, environmental risk assessment

View the full abstract on GitHub.