Extreme values of ET0 at Piracicaba, Brazil, for designing irrigation systems

Detalhes bibliográficos
Autor(a) principal: Melo,Verônica G. M. L. de
Data de Publicação: 2021
Outros Autores: Frizzone,José A., Melo,Leonardo L. de, Camargo,Antonio P. de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662021001000677
Resumo: ABSTRACT Irrigation system capacity is typically defined by analyzing probabilities of non-exceedance of evapotranspiration. The use of mean monthly values of ET0 may lead to underestimation of the required capacity, whereas use of maximum daily values may result in overestimation of required capacity. This study had the following objectives: (1) to analyze a 30-year series of daily ET0 data from Piracicaba, SP, Brazil, to evaluate the suitability of the Gumbel distribution for estimating the maximum values of ET0 organized in periods of up to 30 days; (2) to determine probable maximum values and to select ET0 values considering the irrigation interval and the risk of failure in terms of irrigation system capacity. Daily data from 1990 to 2019 were used to calculate ET0 using the Penman-Monteith model. The Gumbel distribution fitted to the data and was suitable for characterizing the frequency distribution of the maximum ET0. The probable ET0 for designing irrigation systems can then be estimated based on the expected lifespan, irrigation interval, and return period of ET0 maximum values. The higher the anticipated irrigation system lifespan, the higher the return period needed to attain a low risk of failure. Using the average of maximum ET0 values alone leads to underestimation of system capacity and a high risk of failure in terms of irrigation system capacity.
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spelling Extreme values of ET0 at Piracicaba, Brazil, for designing irrigation systemsextreme values type I distributionconfidence intervalirrigation system designrisk of failureGumbel distributionABSTRACT Irrigation system capacity is typically defined by analyzing probabilities of non-exceedance of evapotranspiration. The use of mean monthly values of ET0 may lead to underestimation of the required capacity, whereas use of maximum daily values may result in overestimation of required capacity. This study had the following objectives: (1) to analyze a 30-year series of daily ET0 data from Piracicaba, SP, Brazil, to evaluate the suitability of the Gumbel distribution for estimating the maximum values of ET0 organized in periods of up to 30 days; (2) to determine probable maximum values and to select ET0 values considering the irrigation interval and the risk of failure in terms of irrigation system capacity. Daily data from 1990 to 2019 were used to calculate ET0 using the Penman-Monteith model. The Gumbel distribution fitted to the data and was suitable for characterizing the frequency distribution of the maximum ET0. The probable ET0 for designing irrigation systems can then be estimated based on the expected lifespan, irrigation interval, and return period of ET0 maximum values. The higher the anticipated irrigation system lifespan, the higher the return period needed to attain a low risk of failure. Using the average of maximum ET0 values alone leads to underestimation of system capacity and a high risk of failure in terms of irrigation system capacity.Departamento de Engenharia Agrícola - UFCG2021-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662021001000677Revista Brasileira de Engenharia Agrícola e Ambiental v.25 n.10 2021reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v25n10p677-683info:eu-repo/semantics/openAccessMelo,Verônica G. M. L. deFrizzone,José A.Melo,Leonardo L. deCamargo,Antonio P. deeng2021-08-02T00:00:00Zoai:scielo:S1415-43662021001000677Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2021-08-02T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false
dc.title.none.fl_str_mv Extreme values of ET0 at Piracicaba, Brazil, for designing irrigation systems
title Extreme values of ET0 at Piracicaba, Brazil, for designing irrigation systems
spellingShingle Extreme values of ET0 at Piracicaba, Brazil, for designing irrigation systems
Melo,Verônica G. M. L. de
extreme values type I distribution
confidence interval
irrigation system design
risk of failure
Gumbel distribution
title_short Extreme values of ET0 at Piracicaba, Brazil, for designing irrigation systems
title_full Extreme values of ET0 at Piracicaba, Brazil, for designing irrigation systems
title_fullStr Extreme values of ET0 at Piracicaba, Brazil, for designing irrigation systems
title_full_unstemmed Extreme values of ET0 at Piracicaba, Brazil, for designing irrigation systems
title_sort Extreme values of ET0 at Piracicaba, Brazil, for designing irrigation systems
author Melo,Verônica G. M. L. de
author_facet Melo,Verônica G. M. L. de
Frizzone,José A.
Melo,Leonardo L. de
Camargo,Antonio P. de
author_role author
author2 Frizzone,José A.
Melo,Leonardo L. de
Camargo,Antonio P. de
author2_role author
author
author
dc.contributor.author.fl_str_mv Melo,Verônica G. M. L. de
Frizzone,José A.
Melo,Leonardo L. de
Camargo,Antonio P. de
dc.subject.por.fl_str_mv extreme values type I distribution
confidence interval
irrigation system design
risk of failure
Gumbel distribution
topic extreme values type I distribution
confidence interval
irrigation system design
risk of failure
Gumbel distribution
description ABSTRACT Irrigation system capacity is typically defined by analyzing probabilities of non-exceedance of evapotranspiration. The use of mean monthly values of ET0 may lead to underestimation of the required capacity, whereas use of maximum daily values may result in overestimation of required capacity. This study had the following objectives: (1) to analyze a 30-year series of daily ET0 data from Piracicaba, SP, Brazil, to evaluate the suitability of the Gumbel distribution for estimating the maximum values of ET0 organized in periods of up to 30 days; (2) to determine probable maximum values and to select ET0 values considering the irrigation interval and the risk of failure in terms of irrigation system capacity. Daily data from 1990 to 2019 were used to calculate ET0 using the Penman-Monteith model. The Gumbel distribution fitted to the data and was suitable for characterizing the frequency distribution of the maximum ET0. The probable ET0 for designing irrigation systems can then be estimated based on the expected lifespan, irrigation interval, and return period of ET0 maximum values. The higher the anticipated irrigation system lifespan, the higher the return period needed to attain a low risk of failure. Using the average of maximum ET0 values alone leads to underestimation of system capacity and a high risk of failure in terms of irrigation system capacity.
publishDate 2021
dc.date.none.fl_str_mv 2021-08-01
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662021001000677
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1807-1929/agriambi.v25n10p677-683
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
dc.source.none.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental v.25 n.10 2021
reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
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instname_str Universidade Federal de Campina Grande (UFCG)
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reponame_str Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
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repository.name.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)
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