Analysis of Impact of Various Factors on Downwind Deposition Using a Simulation Method

The drift of aerially applied crop protection and production materials is studied using a novel simulation-based design of experiments approach. Many factors that can potentially contribute to downwind deposition from aerial spray application are considered. This new approach can provide valuable information about the significant level of the impact from all factors and interactions among them that affect drift using simulation software such as AGDISP. The application efficiency, the total downwind drift, the cumulative downwind deposition between 30.48 m (100 ft) and 45.72 m (150 ft), and the deposition at 30.48 m (100 ft), 76.2 m (250 ft), and 152.4 m (500 ft) are established as the performance metrics. The most significant factors will be identified using statistical analysis based on simulation results, and suggestions for improvement will be made. Through preliminary study, the new simulation-based method has shown the potential for statistic analysis without conducting time-consuming field experiments. The new method can be used to search for the optimal spray conditions, which could be used to generate guidelines for applicators to achieve an optimal spray result. The effective use of simulation tool through the identification of significant factors can greatly simplify the field study.

[1]  Wesley E. Yates,et al.  Evaluation of Drift Residues from Aerial Applications , 1966 .

[2]  T. B. Curbishley,et al.  AgDrift®: A model for estimating near‐field spray drift from aerial applications , 2002, Environmental toxicology and chemistry.

[3]  Torsten Husén,et al.  A methodological study , 1959 .

[4]  L. Bergström,et al.  Spray drift as influenced by meteorological and technical factors. , 2011, Pest management science.

[5]  W. E. Steinke,et al.  ATMOSPHERIC STABILITY EFFECTS ON PESTICIDE DRIFT FROM AN IRRIGATED ORCHARD , 2000 .

[6]  N. B. Akesson,et al.  Criteria for Minimizing Drift Residues on Crops Downwind from Aerial Applications , 1974 .

[7]  Wei Zhan,et al.  Robust Design of Motor PWM Control using Modeling and Simulation , 2009 .

[8]  B. K. Fritz,et al.  Meteorological Effects on Deposition and Drift of Aerially Applied Sprays , 2006 .

[9]  D. L. Reichard,et al.  DRIFTSIM, A Program to Estimate Drift Distances of Spray Droplets , 1995 .

[10]  Paul G. Mathews,et al.  Design of Experiments with MINITAB , 2004 .

[11]  Masoud Salyani,et al.  Spray Deposition on Citrus Canopies under Different Meteorological Conditions , 1996 .

[12]  Milton E. Teske,et al.  AGDISP: The Aircraft Spray Dispersion Model, Code Development and Experimental Validation , 1989 .

[13]  D. B. Turner Workbook of atmospheric dispersion estimates : an introduction to dispersion modeling , 1994 .

[14]  A. G. Lane,et al.  The effect of plant structure on the drift of pesticides at field boundaries. , 2000 .

[15]  A. J. Hewitt,et al.  Real time spray drift prediction , 2001 .

[16]  Walter D. Potter,et al.  A genetic algorithm for aerial spray application optimization. , 2000 .

[17]  G. Schenone,et al.  Detoxificant enzymes in pumpkin grown in polluted ambient air , 1994 .

[18]  Yubin Lan,et al.  Low-Level Atmospheric Temperature Inversions and Atmospheric Stability: Characteristics and Impacts on Agricultural Applications , 2008 .

[19]  A. J. Hewitt,et al.  Drift Management Using Modeling and GIS Systems , 2002 .

[20]  H. W. Thistle,et al.  THE ROLE OF STABILITY IN FINE PESTICIDE DROPLET DISPERSION IN THE ATMOSPHERE: A REVIEW OF PHYSICAL CONCEPTS , 2000 .

[21]  D. B. Smith,et al.  PREDICTING GROUND BOOM SPRAY DRIFT , 2000 .

[22]  David R Johnson,et al.  Development of the Spray Drift Task force database for aerial applications , 2002, Environmental toxicology and chemistry.

[23]  Steven G. Perry,et al.  Off‐Target Deposition of Pesticides from Agricultural Aerial Spray Applications , 1996 .

[24]  J. F. Maber,et al.  The effect of canopy development and sprayer position on spray drift from a pipfruit orchard , 2000 .

[25]  Milton E. Teske,et al.  TECHNICAL ADVANCES IN MODELING AERIALLY APPLIED SPRAYS , 2003 .

[26]  Wesley E. Yates,et al.  Drift Hazards Related to Ultra-Low-Volume and Diluted Sprays Applied by Agricultural Aircraft , 1967 .

[27]  R. Lenth Quick and easy analysis of unreplicated factorials , 1989 .

[28]  P. Walklate A random-walk model for dispersion of heavy particles in turbulent air flow , 1987 .