Abstract
Spray drift is the movement of pesticide droplets through the air, during and after application, to unintended sites; drift can damage sensitive neighboring crops, hurt wildlife, and contaminate water supplies.
This study hypothesized that it is possible to predict spray drift potential based on the knowledge of nozzle spray characteristics.
The aim of the study was to quantify this relationship by: •collecting experimental data for nozzle spray characteristics (i.e., droplet size and -velocity distribution in the spray, spray fan width and flow rate through the nozzle at a given liquid pressure) for a broad variety of nozzles •measuring the potential spray drift in a wind tunnel •developing an empirical model based on experimental data for 10 hydraulic spray nozzles
Droplet size and velocity were analyzed using laser-based equipment (Phase Doppler Anemometry), spray liquid distribution from a single nozzle was analyzed using a mechanical spray pattern analyzer, and spray drift potential was analyzed in a wind tunnel at wind speeds of 2, 4, and 6 m/s.
The empirical model was developed based on the experimental data. The model predicted the spray drift potential of the studied nozzle types, and can be assumed to predict that of other nozzles or liquid pressures if the spray characteristics are known.
This study hypothesized that it is possible to predict spray drift potential based on the knowledge of nozzle spray characteristics.
The aim of the study was to quantify this relationship by: •collecting experimental data for nozzle spray characteristics (i.e., droplet size and -velocity distribution in the spray, spray fan width and flow rate through the nozzle at a given liquid pressure) for a broad variety of nozzles •measuring the potential spray drift in a wind tunnel •developing an empirical model based on experimental data for 10 hydraulic spray nozzles
Droplet size and velocity were analyzed using laser-based equipment (Phase Doppler Anemometry), spray liquid distribution from a single nozzle was analyzed using a mechanical spray pattern analyzer, and spray drift potential was analyzed in a wind tunnel at wind speeds of 2, 4, and 6 m/s.
The empirical model was developed based on the experimental data. The model predicted the spray drift potential of the studied nozzle types, and can be assumed to predict that of other nozzles or liquid pressures if the spray characteristics are known.
| Original language | English |
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| Title of host publication | Proceedings of the 14th Triennial International Conference on Liquid Atomization and Spray Systems |
| Publication date | 22. Jul 2018 |
| Publication status | Published - 22. Jul 2018 |
| Event | 14th International Conference on Liquid Atomization & Spray Systems - Duration: 22. Jul 2018 → 26. Jul 2018 |
Conference
| Conference | 14th International Conference on Liquid Atomization & Spray Systems |
|---|---|
| Period | 22/07/2018 → 26/07/2018 |
Keywords
- Spray Model
- Spray Drift
- Nozzle Characteristics