Two-dimensional spatial distribution modeling of sprinkler irrigation

Detalhes bibliográficos
Autor(a) principal: Borges Júnior,João Carlos Ferreira
Data de Publicação: 2021
Outros Autores: Andrade,Camilo de Lelis Teixeira de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Ceres
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2021000400257
Resumo: ABSTRACT Irrigation can provide significant agronomic and financial returns on agricultural activity. The maximization of the benefits obtained from irrigation depends, among other factors, on the water use efficiency, which is intrinsically related to application uniformity. For the sprinkler method, the irrigation uniformity assessment is based on results of labor-intensive field tests in which the two-dimensional water distribution pattern is measured in a grid of catch cans. The aim of this study was to evaluate a simplified methodology for determining the irrigation uniformity using water depth distribution data of a single sprinkler head in operation, positioned at the intersection of two diagonal alignments containing regularly spaced catch cans. Three methods to simulate the spatial water distribution on the alignments were evaluated: linear interpolation (LI), cubic spline (SC) and second-degree polynomial regression (PR). Each of these methods were associated with a procedure to calculate the two-dimensional spatial water distribution. The adequacy of the LI and SC modeling methods was verified by using the Wilcoxon-Mann-Whitney test (p-value < 0.05) applied to the data of the field tests. Mean values of the coefficient of efficiency equals to 0.771 and 0.785 were obtained for the LI and SC methods, respectively. The PR method underperformed the others.
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spelling Two-dimensional spatial distribution modeling of sprinkler irrigationirrigation efficiencyuniformity coefficientcoefficient of efficiencyABSTRACT Irrigation can provide significant agronomic and financial returns on agricultural activity. The maximization of the benefits obtained from irrigation depends, among other factors, on the water use efficiency, which is intrinsically related to application uniformity. For the sprinkler method, the irrigation uniformity assessment is based on results of labor-intensive field tests in which the two-dimensional water distribution pattern is measured in a grid of catch cans. The aim of this study was to evaluate a simplified methodology for determining the irrigation uniformity using water depth distribution data of a single sprinkler head in operation, positioned at the intersection of two diagonal alignments containing regularly spaced catch cans. Three methods to simulate the spatial water distribution on the alignments were evaluated: linear interpolation (LI), cubic spline (SC) and second-degree polynomial regression (PR). Each of these methods were associated with a procedure to calculate the two-dimensional spatial water distribution. The adequacy of the LI and SC modeling methods was verified by using the Wilcoxon-Mann-Whitney test (p-value < 0.05) applied to the data of the field tests. Mean values of the coefficient of efficiency equals to 0.771 and 0.785 were obtained for the LI and SC methods, respectively. The PR method underperformed the others.Universidade Federal de Viçosa2021-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2021000400257Revista Ceres v.68 n.4 2021reponame:Revista Ceresinstname:Universidade Federal de Viçosa (UFV)instacron:UFV10.1590/0034-737x2021680400info:eu-repo/semantics/openAccessBorges Júnior,João Carlos FerreiraAndrade,Camilo de Lelis Teixeira deeng2021-08-03T00:00:00ZRevista
dc.title.none.fl_str_mv Two-dimensional spatial distribution modeling of sprinkler irrigation
title Two-dimensional spatial distribution modeling of sprinkler irrigation
spellingShingle Two-dimensional spatial distribution modeling of sprinkler irrigation
Borges Júnior,João Carlos Ferreira
irrigation efficiency
uniformity coefficient
coefficient of efficiency
title_short Two-dimensional spatial distribution modeling of sprinkler irrigation
title_full Two-dimensional spatial distribution modeling of sprinkler irrigation
title_fullStr Two-dimensional spatial distribution modeling of sprinkler irrigation
title_full_unstemmed Two-dimensional spatial distribution modeling of sprinkler irrigation
title_sort Two-dimensional spatial distribution modeling of sprinkler irrigation
author Borges Júnior,João Carlos Ferreira
author_facet Borges Júnior,João Carlos Ferreira
Andrade,Camilo de Lelis Teixeira de
author_role author
author2 Andrade,Camilo de Lelis Teixeira de
author2_role author
dc.contributor.author.fl_str_mv Borges Júnior,João Carlos Ferreira
Andrade,Camilo de Lelis Teixeira de
dc.subject.por.fl_str_mv irrigation efficiency
uniformity coefficient
coefficient of efficiency
topic irrigation efficiency
uniformity coefficient
coefficient of efficiency
dc.description.none.fl_txt_mv ABSTRACT Irrigation can provide significant agronomic and financial returns on agricultural activity. The maximization of the benefits obtained from irrigation depends, among other factors, on the water use efficiency, which is intrinsically related to application uniformity. For the sprinkler method, the irrigation uniformity assessment is based on results of labor-intensive field tests in which the two-dimensional water distribution pattern is measured in a grid of catch cans. The aim of this study was to evaluate a simplified methodology for determining the irrigation uniformity using water depth distribution data of a single sprinkler head in operation, positioned at the intersection of two diagonal alignments containing regularly spaced catch cans. Three methods to simulate the spatial water distribution on the alignments were evaluated: linear interpolation (LI), cubic spline (SC) and second-degree polynomial regression (PR). Each of these methods were associated with a procedure to calculate the two-dimensional spatial water distribution. The adequacy of the LI and SC modeling methods was verified by using the Wilcoxon-Mann-Whitney test (p-value < 0.05) applied to the data of the field tests. Mean values of the coefficient of efficiency equals to 0.771 and 0.785 were obtained for the LI and SC methods, respectively. The PR method underperformed the others.
description ABSTRACT Irrigation can provide significant agronomic and financial returns on agricultural activity. The maximization of the benefits obtained from irrigation depends, among other factors, on the water use efficiency, which is intrinsically related to application uniformity. For the sprinkler method, the irrigation uniformity assessment is based on results of labor-intensive field tests in which the two-dimensional water distribution pattern is measured in a grid of catch cans. The aim of this study was to evaluate a simplified methodology for determining the irrigation uniformity using water depth distribution data of a single sprinkler head in operation, positioned at the intersection of two diagonal alignments containing regularly spaced catch cans. Three methods to simulate the spatial water distribution on the alignments were evaluated: linear interpolation (LI), cubic spline (SC) and second-degree polynomial regression (PR). Each of these methods were associated with a procedure to calculate the two-dimensional spatial water distribution. The adequacy of the LI and SC modeling methods was verified by using the Wilcoxon-Mann-Whitney test (p-value < 0.05) applied to the data of the field tests. Mean values of the coefficient of efficiency equals to 0.771 and 0.785 were obtained for the LI and SC methods, respectively. The PR method underperformed the others.
publishDate 2021
dc.date.none.fl_str_mv 2021-08-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2021000400257
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2021000400257
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0034-737x2021680400
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal de Viçosa
publisher.none.fl_str_mv Universidade Federal de Viçosa
dc.source.none.fl_str_mv Revista Ceres v.68 n.4 2021
reponame:Revista Ceres
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str Revista Ceres
collection Revista Ceres
repository.name.fl_str_mv
repository.mail.fl_str_mv
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