<b>Methodology for rainwater reservoir dimensioning: a probabilistic approach

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...

Full description

Bibliographic Details
Main Authors: Wagner Wolff, Sergio Nascimento Duarte, Olívio José Soccol, Lineu Neiva Rodrigues, Rafael Dreux Miranda Fernandes
Format: Article
Language:English
Published: Eduem (Editora da Universidade Estadual de Maringá) 2017-05-01
Series:Acta Scientiarum: Agronomy
Subjects:
Online Access:http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/32564
id doaj-da95b865287a47d591fed9b1191d08c4
record_format Article
spelling doaj-da95b865287a47d591fed9b1191d08c42020-11-25T02:28:28ZengEduem (Editora da Universidade Estadual de Maringá)Acta Scientiarum: Agronomy1679-92751807-86212017-05-0139328328910.4025/actasciagron.v39i3.3256415187<b>Methodology for rainwater reservoir dimensioning: a probabilistic approachWagner Wolff0Sergio Nascimento Duarte1Olívio José Soccol2Lineu Neiva Rodrigues3Rafael Dreux Miranda Fernandes4Universidade de São PauloUniversidade de São PauloUniversidade do Estado de Santa CatarinaEmpresa Brasileira de Pesquisa AgropecuáriaUniversidad de SevillaThe 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).http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/32564Wakeby distributionirrigationsustainable practiceswater resources
collection DOAJ
language English
format Article
sources DOAJ
author Wagner Wolff
Sergio Nascimento Duarte
Olívio José Soccol
Lineu Neiva Rodrigues
Rafael Dreux Miranda Fernandes
spellingShingle Wagner Wolff
Sergio Nascimento Duarte
Olívio José Soccol
Lineu Neiva Rodrigues
Rafael Dreux Miranda Fernandes
<b>Methodology for rainwater reservoir dimensioning: a probabilistic approach
Acta Scientiarum: Agronomy
Wakeby distribution
irrigation
sustainable practices
water resources
author_facet Wagner Wolff
Sergio Nascimento Duarte
Olívio José Soccol
Lineu Neiva Rodrigues
Rafael Dreux Miranda Fernandes
author_sort Wagner Wolff
title <b>Methodology for rainwater reservoir dimensioning: a probabilistic approach
title_short <b>Methodology for rainwater reservoir dimensioning: a probabilistic approach
title_full <b>Methodology for rainwater reservoir dimensioning: a probabilistic approach
title_fullStr <b>Methodology for rainwater reservoir dimensioning: a probabilistic approach
title_full_unstemmed <b>Methodology for rainwater reservoir dimensioning: a probabilistic approach
title_sort <b>methodology for rainwater reservoir dimensioning: a probabilistic approach
publisher Eduem (Editora da Universidade Estadual de Maringá)
series Acta Scientiarum: Agronomy
issn 1679-9275
1807-8621
publishDate 2017-05-01
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).
topic Wakeby distribution
irrigation
sustainable practices
water resources
url http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/32564
work_keys_str_mv AT wagnerwolff bmethodologyforrainwaterreservoirdimensioningaprobabilisticapproach
AT sergionascimentoduarte bmethodologyforrainwaterreservoirdimensioningaprobabilisticapproach
AT oliviojosesoccol bmethodologyforrainwaterreservoirdimensioningaprobabilisticapproach
AT lineuneivarodrigues bmethodologyforrainwaterreservoirdimensioningaprobabilisticapproach
AT rafaeldreuxmirandafernandes bmethodologyforrainwaterreservoirdimensioningaprobabilisticapproach
_version_ 1724837750347137024