Methodology for rainwater reservoir dimensioning: a probabilistic approach
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Acta Scientiarum. Agronomy (Online) |
DOI: | 10.4025/actasciagron.v39i3.32564 |
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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Acta Scientiarum. Agronomy (Online) |
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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 Methodology for rainwater reservoir dimensioning: a probabilistic approach Wolff, Wagner Wakeby distribution irrigation sustainable practices water resources Irrigation 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 Methodology for rainwater reservoir dimensioning: a probabilistic approach |
title_full_unstemmed |
Methodology for rainwater reservoir dimensioning: a probabilistic approach 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 Wolff, Wagner Duarte, Sergio Nascimento Soccol, Olívio José Rodrigues, Lineu Neiva Fernandes, Rafael Dreux Miranda 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 |
_version_ |
1822182776708792320 |
dc.identifier.doi.none.fl_str_mv |
10.4025/actasciagron.v39i3.32564 |