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PREDICTING GROUND BOOM SPRAY DRIFT

Authors: null D. B. Smith; null L. E. Bode; null P. D. Gerard;

PREDICTING GROUND BOOM SPRAY DRIFT

Abstract

Multiple regression procedures were used to develop models to predict spray drift from ground, boom sprayers. These models were developed to study the effect of independent variables on drift deposits. The Missouri model was developed from single nozzle tests and contained six significant variables. Spray drift deposits were most strongly related to three variables (i.e., common logarithm of corrected downwind distance, wind speed, and nozzle height; in that order). Neither volume median diameter or the ‘% of the spray volume =105 µm’ were significantly related to drift deposits. The Illinois model (i.e., developed from six nozzle spray boom tests) included four significant variables. The most important variable for this model was the ‘common logarithm of the corrected downwind distance’. The common logarithm of the corrected downwind distance, nozzle pressure, and dry bulb temperature were included in both of the models. The common logarithm of the corrected downwind distance was clearly the most import variable in both models as indicated by sensitivity analyses. The results from the model verifications indicated that the predicted and measured deposits were in very good agreement.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Top 10%
Top 10%
Average
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