Methodology for rainwater reservoir dimensioning: a probabilistic approach

Detalhes bibliográficos
Autor(a) principal: Wolff, Wagner
Data de Publicação: 2017
Outros Autores: Duarte, Sergio Nascimento, Soccol, Olívio José, Rodrigues, Lineu Neiva, Fernandes, Rafael Dreux Miranda
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta Scientiarum. Agronomy (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/32564
Resumo: The aim of this study was to propose a new methodology for reservoir rainwater dimensioning based on probabilistic modeling. Eucalyptus seedlings grown in a greenhouse were used to obtain a hypothetical water demand. Meteorological data were used to estimate the demand (evapotranspiration) and offer (rainfall over the greenhouse coverage). The probability distribution of Wakeby presented the best fit for the rainfall data; therefore, a Wakeby distribution was used to model the flow-duration curve of the greenhouse coverage. For a payback period (T) of 10 years of surplus water demand and water supply deficit, a reservoir with 13.60 m³ was obtained. The proposed methodology combined the simultaneous occurrence of the events to enable the scaling out of a reservoir with high safety to supply the required demand (T = 100 years) and therefore enables a lower cost of deployment compared to each approach separately (T = 10 years). 
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spelling Methodology for rainwater reservoir dimensioning: a probabilistic approachWakeby distributionirrigationsustainable practiceswater resourcesIrrigationThe aim of this study was to propose a new methodology for reservoir rainwater dimensioning based on probabilistic modeling. Eucalyptus seedlings grown in a greenhouse were used to obtain a hypothetical water demand. Meteorological data were used to estimate the demand (evapotranspiration) and offer (rainfall over the greenhouse coverage). The probability distribution of Wakeby presented the best fit for the rainfall data; therefore, a Wakeby distribution was used to model the flow-duration curve of the greenhouse coverage. For a payback period (T) of 10 years of surplus water demand and water supply deficit, a reservoir with 13.60 m³ was obtained. The proposed methodology combined the simultaneous occurrence of the events to enable the scaling out of a reservoir with high safety to supply the required demand (T = 100 years) and therefore enables a lower cost of deployment compared to each approach separately (T = 10 years). Universidade Estadual de Maringá2017-05-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionModelagemapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/3256410.4025/actasciagron.v39i3.32564Acta Scientiarum. Agronomy; Vol 39 No 3 (2017); 283-289Acta Scientiarum. Agronomy; v. 39 n. 3 (2017); 283-2891807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/32564/pdfCopyright (c) 2017 Acta Scientiarum. Agronomyinfo:eu-repo/semantics/openAccessWolff, WagnerDuarte, Sergio NascimentoSoccol, Olívio JoséRodrigues, Lineu NeivaFernandes, Rafael Dreux Miranda2022-02-16T21:47:31Zoai:periodicos.uem.br/ojs:article/32564Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2022-02-16T21:47:31Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Methodology for rainwater reservoir dimensioning: a probabilistic approach
title Methodology for rainwater reservoir dimensioning: a probabilistic approach
spellingShingle Methodology for rainwater reservoir dimensioning: a probabilistic approach
Wolff, Wagner
Wakeby distribution
irrigation
sustainable practices
water resources
Irrigation
title_short Methodology for rainwater reservoir dimensioning: a probabilistic approach
title_full Methodology for rainwater reservoir dimensioning: a probabilistic approach
title_fullStr Methodology for rainwater reservoir dimensioning: a probabilistic approach
title_full_unstemmed Methodology for rainwater reservoir dimensioning: a probabilistic approach
title_sort Methodology for rainwater reservoir dimensioning: a probabilistic approach
author Wolff, Wagner
author_facet Wolff, Wagner
Duarte, Sergio Nascimento
Soccol, Olívio José
Rodrigues, Lineu Neiva
Fernandes, Rafael Dreux Miranda
author_role author
author2 Duarte, Sergio Nascimento
Soccol, Olívio José
Rodrigues, Lineu Neiva
Fernandes, Rafael Dreux Miranda
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Wolff, Wagner
Duarte, Sergio Nascimento
Soccol, Olívio José
Rodrigues, Lineu Neiva
Fernandes, Rafael Dreux Miranda
dc.subject.por.fl_str_mv Wakeby distribution
irrigation
sustainable practices
water resources
Irrigation
topic Wakeby distribution
irrigation
sustainable practices
water resources
Irrigation
description The aim of this study was to propose a new methodology for reservoir rainwater dimensioning based on probabilistic modeling. Eucalyptus seedlings grown in a greenhouse were used to obtain a hypothetical water demand. Meteorological data were used to estimate the demand (evapotranspiration) and offer (rainfall over the greenhouse coverage). The probability distribution of Wakeby presented the best fit for the rainfall data; therefore, a Wakeby distribution was used to model the flow-duration curve of the greenhouse coverage. For a payback period (T) of 10 years of surplus water demand and water supply deficit, a reservoir with 13.60 m³ was obtained. The proposed methodology combined the simultaneous occurrence of the events to enable the scaling out of a reservoir with high safety to supply the required demand (T = 100 years) and therefore enables a lower cost of deployment compared to each approach separately (T = 10 years). 
publishDate 2017
dc.date.none.fl_str_mv 2017-05-17
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Modelagem
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/32564
10.4025/actasciagron.v39i3.32564
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/32564
identifier_str_mv 10.4025/actasciagron.v39i3.32564
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/32564/pdf
dc.rights.driver.fl_str_mv Copyright (c) 2017 Acta Scientiarum. Agronomy
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Acta Scientiarum. Agronomy
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual de Maringá
publisher.none.fl_str_mv Universidade Estadual de Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Agronomy; Vol 39 No 3 (2017); 283-289
Acta Scientiarum. Agronomy; v. 39 n. 3 (2017); 283-289
1807-8621
1679-9275
reponame:Acta Scientiarum. Agronomy (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta Scientiarum. Agronomy (Online)
collection Acta Scientiarum. Agronomy (Online)
repository.name.fl_str_mv Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br
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