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https://doi.org/10.22616/erdev...
Article . 2019 . Peer-reviewed
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Modeling and improving sprinkling process with ejection nozzles

Authors: Novikov A.; Poddubsky A.; Grigorov S.; Ratanov M.; Filimonov M.; Poddubskaya O.;

Modeling and improving sprinkling process with ejection nozzles

Abstract

The chemical-technogenic strategy of intensifying agriculture on irrigated lands based on the use of energy-rich wide-sprinkling machines with elements of irrigation technology inconsistent with agrotechnical requirements provoked the intensification of erosion processes. At the same time sprinkling as the most perfect method of irrigation prevails over the others, because it simulates natural processes of adding moisture to the soil. When raindrops affect the soil, the structure of soil aggregates destroys, particles release and microparticles are transported together with the raindrops being sprayed. To reduce the negative impact of the sprinkling process we designed the ejection nozzle, which can be used on drum-type irrigation systems with consoles (for example, DSHF 90 Agros, DSHF 110 Agros), on wide-reach machines with reduced pressure (for example, “Fregat-N”, EDM “Kuban-L”, “Kuban-LK”), on small-sized machines based on the units “Kuban”, “Frigate”. Sprinkling with a water-air mixture in comparison with nozzles without air ejection allows to reduce the size of the raindrop from 24 to 36 %, and to expand the area of capture by rain by 12 %. Modernization of sprinkling machines by ejection nozzles provides an increase in the effective irrigation coefficient to 0.75. © 2019 Latvia University of Agriculture. All rights reserved.

Country
Russian Federation
Keywords

330, Nozzle, Impact energy, 600, Sprinkling, Deflector, Ejection, Sharp edge

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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!
0
Average
Average
Average
bronze