Standard

Comparisons of the mechanistic AGDISP ground boom model with experimental data. / Connell, R J; Schou, W C; Nuyttens, David; Wolf, T M; Praat, J-P.

In: New Zealand Plant Protection, Vol. 65, 2012, p. 93-96.

Research output: Contribution to journalA2: International peer reviewed article (not A1-type)Researchpeer-review

Harvard

Connell, RJ, Schou, WC, Nuyttens, D, Wolf, TM & Praat, J-P 2012, 'Comparisons of the mechanistic AGDISP ground boom model with experimental data' New Zealand Plant Protection, vol. 65, pp. 93-96.

APA

Connell, R. J., Schou, W. C., Nuyttens, D., Wolf, T. M., & Praat, J-P. (2012). Comparisons of the mechanistic AGDISP ground boom model with experimental data. New Zealand Plant Protection, 65, 93-96.

Vancouver

Connell RJ, Schou WC, Nuyttens D, Wolf TM, Praat J-P. Comparisons of the mechanistic AGDISP ground boom model with experimental data. New Zealand Plant Protection. 2012;65:93-96.

Author

Connell, R J ; Schou, W C ; Nuyttens, David ; Wolf, T M ; Praat, J-P. / Comparisons of the mechanistic AGDISP ground boom model with experimental data. In: New Zealand Plant Protection. 2012 ; Vol. 65. pp. 93-96.

Bibtex

@article{63551a40fcb945539067403eed7aa9eb,
title = "Comparisons of the mechanistic AGDISP ground boom model with experimental data",
abstract = "Since work reported in 2008, developments on the AGDISP ground boom model have improved results against New Zealand field trial drift data and also compare better with ground boom drift data sets from Belgium and Canada. The model still predicts more drift than the experimental data in most cases, especially for smaller droplet sizes, but does predict less drift for larger droplets at large distances downwind. The original AGDISP ground model was calibrated from Spray Drift Task Force data from the United States. The experimental methods need to be developed to improve collection efficiency and mass balance. The physics behind the model are discussed and proposed methods for improvement are suggested, including air velocities in the spray jet below the nozzle, the dispersion of the spray plume cloud at ground level due to atmospheric turbulence and wakes from the spraying equipment.",
author = "Connell, {R J} and Schou, {W C} and David Nuyttens and Wolf, {T M} and J-P Praat",
year = "2012",
language = "Nederlands",
volume = "65",
pages = "93--96",
journal = "New Zealand Plant Protection",
issn = "1175-9003",
publisher = "New Zealand Plant Protection Society",

}

RIS

TY - JOUR

T1 - Comparisons of the mechanistic AGDISP ground boom model with experimental data

AU - Connell, R J

AU - Schou, W C

AU - Nuyttens, David

AU - Wolf, T M

AU - Praat, J-P

PY - 2012

Y1 - 2012

N2 - Since work reported in 2008, developments on the AGDISP ground boom model have improved results against New Zealand field trial drift data and also compare better with ground boom drift data sets from Belgium and Canada. The model still predicts more drift than the experimental data in most cases, especially for smaller droplet sizes, but does predict less drift for larger droplets at large distances downwind. The original AGDISP ground model was calibrated from Spray Drift Task Force data from the United States. The experimental methods need to be developed to improve collection efficiency and mass balance. The physics behind the model are discussed and proposed methods for improvement are suggested, including air velocities in the spray jet below the nozzle, the dispersion of the spray plume cloud at ground level due to atmospheric turbulence and wakes from the spraying equipment.

AB - Since work reported in 2008, developments on the AGDISP ground boom model have improved results against New Zealand field trial drift data and also compare better with ground boom drift data sets from Belgium and Canada. The model still predicts more drift than the experimental data in most cases, especially for smaller droplet sizes, but does predict less drift for larger droplets at large distances downwind. The original AGDISP ground model was calibrated from Spray Drift Task Force data from the United States. The experimental methods need to be developed to improve collection efficiency and mass balance. The physics behind the model are discussed and proposed methods for improvement are suggested, including air velocities in the spray jet below the nozzle, the dispersion of the spray plume cloud at ground level due to atmospheric turbulence and wakes from the spraying equipment.

M3 - A2: Artikel in een internationaal wetenschappelijk tijdschrift met peer review, dat niet inbegrepen is in A1

VL - 65

SP - 93

EP - 96

JO - New Zealand Plant Protection

JF - New Zealand Plant Protection

SN - 1175-9003

ER -