Please use this identifier to cite or link to this item: http://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/2871
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dc.contributor271445es_ES
dc.coverage.spatialGlobales_ES
dc.creatorBautista Capetillo, Carlos-
dc.creatorRobles Rovelo, Cruz Octavio-
dc.creatorSalinas, Humberto-
dc.creatorPlayan, Enrique-
dc.date.accessioned2021-12-09T17:40:21Z-
dc.date.available2021-12-09T17:40:21Z-
dc.date.issued2014-06-
dc.identifierinfo:eu-repo/semantics/publishedVersiones_ES
dc.identifier.issn1432-1319es_ES
dc.identifier.issn0342-7188es_ES
dc.identifier.urihttp://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/2871-
dc.description.abstractA variety of techniques have been proposed in the literature for sprinkler drop characterization. An optical particle tracking velocimetry (PTV) technique is proposed in this paper to determine drop velocity, diameter and angle. The technique has been applied to the drops emitted by an isolated impact sprinkler equipped with two nozzles (diameters 3.20 and 4.37 mm) operating at a pressure of 175 kPa. PTV has been previously used to determine the velocity vector of different types of particles. In this research, PTV was used to photograph sprinkler drops over a region illuminated with laser light. Photographs were taken at four horizontal distances from the sprinkler, which was located at an elevation of 1.65 m over the soil surface. Drop angle and velocity were derived from the displacement of the drop centroid in two images separated by a short time step. Centrality and dispersion parameters were obtained for each drop variable and observation point. Results derive from the analysis of 2,360 images. Only 37.5 % of them (884 images) contained drops which could be processed by the PTV algorithm, resulting in a total of 3,782 drops. A filtering algorithm just validated 1,893 valid drops, which were successfully analyzed. The proposed technique uses expensive equipment requiring continued protection against irrigation water. This methodology has proven valuable to characterize irrigation water drops. Despite its robust measurement procedure, further comparison with other techniques seems necessary before this optical technique can be recommended for practical use in sprinkler drop characterization.es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.relationhttps://link.springer.com/article/10.1007/s00271-014-0440-6es_ES
dc.relation.urigeneralPublices_ES
dc.rightsAtribución-NoComercial-CompartirIgual 3.0 Estados Unidos de América*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.sourceIrrigation Science volume 32, pages437–447 (2014)es_ES
dc.subject.classificationCIENCIAS FISICO MATEMATICAS Y CIENCIAS DE LA TIERRA [1]es_ES
dc.subject.othersprinkler drop characterizationes_ES
dc.subject.otheroptical particle tracking velocimetry (PTV)es_ES
dc.subject.otherfiltering algorithmes_ES
dc.titleA particle tracking velocimetry technique for drop characterization in agricultural sprinklerses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
Appears in Collections:*Documentos Académicos*-- UA Cien. y Tec. de la Luz y la Mat. (LUMAT)

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