Modelling spray drift from boom sprayers

Holterman, H.J.; Zande, J.C. van de; Porskamp, H.A.J.; Huijsmans, J.F.M.

doi:10.1016/s0168-1699(97)00018-5

Cited by 136 publications

(112 citation statements)

References 13 publications

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“…Complex air stream occurs in field conditions. In field conditions, attributes of droplets are not predicted due to complex weather conditions (Holterman et al, 1997), forward speed of sprayer , vibration of boom (Lardoux et al, 2007), etc. As can be observed in Table 5, the highest field values were in 1 m drift distance.…”

Section: Resultsmentioning

confidence: 99%

“…Even when a coarse spray, > 300 µm, is applied with most standard hydraulic nozzles, there will be a proportion of the spray volume emitted as small droplets which can drift (Matthews, 2000). Some researchers (Duvnjak and Miller, 1998;Holterman et al, 1997;Jones et al, 2002;Matthews, 2004;Murphy et al, 2000;Wenneker et al, 2005) found that coarse droplets produce less drift than fine droplets in low drift (LD) nozzles. According to EPPO (2003), the amount of drifting pesticide deposits as fall-out in the short range or transported through the air to greater distances from the treated area are determined by prevailing weather conditions.…”

Section: Introductionmentioning

confidence: 99%

“…Field measurements of spray drift are also expensive and timeconsuming to conduct accurately (Miller, 1993). To compensate for such disadvantages, computer and mathematical models are developed and used by some researchers (Gil and Sinfort, 2005;Goering et al, 1972;Holterman et al, 1997;Smith et al, 2000;Thompson and Ley, 1983;Uçar, 2000). Such models have been developed to predict spray droplet trajectories both close to nozzles on a boom sprayer and in the drifting spray plume further downwind of the application site (Murphy et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Comparison of field and model percentage drift using different types of hydraulic nozzles in pesticide applications

Yarpuz-Bozdogan

Bozdoğan

2009

Int. J. Environ. Sci. Technol.

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ABSTRACT:In pesticide applications, small droplets are desired for better coverage and uniform distribution. Yet, small droplets have a problem: Drift, the movement of droplets off-target. Low drift nozzle produces fewer drift-prone droplets, < 100 µm, compared to standard hydraulic nozzles. In pesticide applications, standard hydraulic nozzles, hollow cone and flat fan nozzles are generally used by farmers. These nozzles have broad droplet spectrum and high proportion drift-prone droplets. Sample of drifted droplets and measurements in field conditions are expensive and can be time-consuming. However, models can be applied to predict drift without field measurement. In this study, model and field measurement of percentage pesticide drift were compared using different hydraulic nozzles, D4-45, F 11006 and low drift 11003 by gas chromatography equipped with a nitrogen-phosphorus detector. In the result of this study, for all nozzles, values up to 2 m and 3 m showed that there were statistically different according to German model and Dutch model, respectively. In the result of this study, percentage drift at 5 m compared to 1 m distance decreased approximately 15 folds in low drift 11003, 12 in F 11006 and 10 folds in hollow cone D4-45 nozzles in actual application and 5 folds in German and 9 folds in Dutch models.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparison of field and model percentage drift using different types of hydraulic nozzles in pesticide applications

Yarpuz-Bozdogan

Bozdoğan

2009

Int. J. Environ. Sci. Technol.

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“…[34] In general, boom height is between 35 and 100 cm for ground spraying while 3 m is common for aerial sprayers. [3,35] For some spray solutions a recycle or agitation stream is often diverted from the pump back into the tank in order to achieve a homogeneous or well-mixed spray. This flow tends to be 5 to 10 % of the tank capacity per minute.…”

Section: Agricultural Spraying Overviewmentioning

confidence: 99%

Polymeric Drift Control Adjuvants for Agricultural Spraying

Lewis

Evans

Malic

et al. 2016

Macro Chemistry & Physics

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---------The movement of a pesticide or herbicide to an off-target site during agricultural spraying can cause injury to wildlife, plants and contamination of surface water. This phenomenon is known as spray drift and can be controlled by spraying during favorable environmental conditions, and by using low drift nozzles and drift control adjuvants (DCAs). Polymeric DCAs are the most common type of DCA and function by increasing the droplet size produced during spraying. There are, however, two main drawbacks of polymeric DCAs; they are prone to mechanical degradation during spraying which reduces their performance and they can produce oversized drops which reduces the efficacy of the spray. In this review, existing DCA technology is reviewed including the mechanism through which they function.This then provides a platform for the discussion of novel polymeric architectures which have currently not been applied in DCA formulations.-2 -

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“…Generally, the losses of droplets volume due to evaporation are enhanced with increasing temperature and decreasing air humidity (Holterman, 2003;Farnham et al, 2015). Wind speed enhances evaporation and is the main factor that causes droplet drift (Holterman et al, 1997;Czaczyk, 2012). Many models describing these relationships have been created (Holterman et al, 1997;Friso & Baldoin, 2015).…”

Section: Introductionmentioning

confidence: 99%

Effect of the spray volume adjustment model on the efficiency of fungicides and residues in processing tomato

Ratajkiewicz

Kierzek

Raczkowski

et al. 2016

Span. j. agric. res.

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This study compared the effects of a proportionate spray volume (PSV) adjustment model and a fixed model (300 L/ha) on the infestation of processing tomato with potato late blight (Phytophthora infestans (Mont.) de Bary) (PLB) and azoxystrobin and chlorothalonil residues in fruits in three consecutive seasons. The fungicides were applied in alternating system with or without two spreader adjuvants. The proportionate spray volume adjustment model was based on the number of leaves on plants and spray volume index. The modified Quick, Easy, Cheap, Effective, Rugged, and Safe (QuEChERS) method was optimized and validated for extraction of azoxystrobin and chlorothalonil residue. Gas chromatography with a nitrogen and phosphorus detector and an electron capture detector were used for the analysis of fungicides. The results showed that higher fungicidal residues were connected with lower infestation of tomato with PLB. PSV adjustment model resulted in lower infestation of tomato than the fixed model (300 L/ha) when fungicides were applied at half the dose without adjuvants. Higher expected spray interception into the tomato canopy with the PSV system was recognized as the reasons of better control of PLB. The spreader adjuvants did not have positive effect on the biological efficacy of spray volume application systems. The results suggest that PSV adjustment model can be used to determine the spray volume for fungicide application for processing tomato crop.

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Modelling spray drift from boom sprayers

Cited by 136 publications

References 13 publications

Comparison of field and model percentage drift using different types of hydraulic nozzles in pesticide applications

Comparison of field and model percentage drift using different types of hydraulic nozzles in pesticide applications

Polymeric Drift Control Adjuvants for Agricultural Spraying

Effect of the spray volume adjustment model on the efficiency of fungicides and residues in processing tomato

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