Probability of rainfall for the city of Cruzeiro do Sul, Acre, Brazil

Detalhes bibliográficos
Autor(a) principal: Silva,Jefferson Rodrigues dos Santos
Data de Publicação: 2021
Outros Autores: Taveira,Matheus Kucmanski, Serrano,Rodrigo Otávio Peréa, Mesquita,Anderson Azevedo, Moreira,José Genivaldo do Vale
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Ambiente & Água
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2021000100307
Resumo: Abstract Due to randomness in the occurrence of hydrological phenomena, the estimation of probable rain precipitation in a given region is important in assisting decision-making. This work aimed to adjust the probabilistic model of the Gamma distribution to the monthly and annual rainfall totals recorded in the city of Cruzeiro do Sul, Acre, for the period between 1970 and 2019, in addition to estimating the expected values at different probability levels. Using the maximum likelihood method, the distribution parameters were estimated, with adherence ratified by the Kolmogorov-Smirnov test. The results showed that the Gamma distribution was adequate to adjust the data; the region has two well-defined periods in its rainfall pattern; the mean precipitation values recorded in the locality are between 25% and 40% of probability. Finally, probable rainfall values were presented at different probability levels for the city of Cruzeiro do Sul.
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spelling Probability of rainfall for the city of Cruzeiro do Sul, Acre, Brazilagricultural planningexpected rain precipitationprobability distributionAbstract Due to randomness in the occurrence of hydrological phenomena, the estimation of probable rain precipitation in a given region is important in assisting decision-making. This work aimed to adjust the probabilistic model of the Gamma distribution to the monthly and annual rainfall totals recorded in the city of Cruzeiro do Sul, Acre, for the period between 1970 and 2019, in addition to estimating the expected values at different probability levels. Using the maximum likelihood method, the distribution parameters were estimated, with adherence ratified by the Kolmogorov-Smirnov test. The results showed that the Gamma distribution was adequate to adjust the data; the region has two well-defined periods in its rainfall pattern; the mean precipitation values recorded in the locality are between 25% and 40% of probability. Finally, probable rainfall values were presented at different probability levels for the city of Cruzeiro do Sul.Instituto de Pesquisas Ambientais em Bacias Hidrográficas2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2021000100307Revista Ambiente & Água v.16 n.1 2021reponame:Revista Ambiente & Águainstname:Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)instacron:IPABHI10.4136/ambi-agua.2593info:eu-repo/semantics/openAccessSilva,Jefferson Rodrigues dos SantosTaveira,Matheus KucmanskiSerrano,Rodrigo Otávio PeréaMesquita,Anderson AzevedoMoreira,José Genivaldo do Valeeng2021-02-08T00:00:00Zoai:scielo:S1980-993X2021000100307Revistahttp://www.ambi-agua.net/PUBhttps://old.scielo.br/oai/scielo-oai.php||ambi.agua@gmail.com1980-993X1980-993Xopendoar:2021-02-08T00:00Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)false
dc.title.none.fl_str_mv Probability of rainfall for the city of Cruzeiro do Sul, Acre, Brazil
title Probability of rainfall for the city of Cruzeiro do Sul, Acre, Brazil
spellingShingle Probability of rainfall for the city of Cruzeiro do Sul, Acre, Brazil
Silva,Jefferson Rodrigues dos Santos
agricultural planning
expected rain precipitation
probability distribution
title_short Probability of rainfall for the city of Cruzeiro do Sul, Acre, Brazil
title_full Probability of rainfall for the city of Cruzeiro do Sul, Acre, Brazil
title_fullStr Probability of rainfall for the city of Cruzeiro do Sul, Acre, Brazil
title_full_unstemmed Probability of rainfall for the city of Cruzeiro do Sul, Acre, Brazil
title_sort Probability of rainfall for the city of Cruzeiro do Sul, Acre, Brazil
author Silva,Jefferson Rodrigues dos Santos
author_facet Silva,Jefferson Rodrigues dos Santos
Taveira,Matheus Kucmanski
Serrano,Rodrigo Otávio Peréa
Mesquita,Anderson Azevedo
Moreira,José Genivaldo do Vale
author_role author
author2 Taveira,Matheus Kucmanski
Serrano,Rodrigo Otávio Peréa
Mesquita,Anderson Azevedo
Moreira,José Genivaldo do Vale
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Silva,Jefferson Rodrigues dos Santos
Taveira,Matheus Kucmanski
Serrano,Rodrigo Otávio Peréa
Mesquita,Anderson Azevedo
Moreira,José Genivaldo do Vale
dc.subject.por.fl_str_mv agricultural planning
expected rain precipitation
probability distribution
topic agricultural planning
expected rain precipitation
probability distribution
description Abstract Due to randomness in the occurrence of hydrological phenomena, the estimation of probable rain precipitation in a given region is important in assisting decision-making. This work aimed to adjust the probabilistic model of the Gamma distribution to the monthly and annual rainfall totals recorded in the city of Cruzeiro do Sul, Acre, for the period between 1970 and 2019, in addition to estimating the expected values at different probability levels. Using the maximum likelihood method, the distribution parameters were estimated, with adherence ratified by the Kolmogorov-Smirnov test. The results showed that the Gamma distribution was adequate to adjust the data; the region has two well-defined periods in its rainfall pattern; the mean precipitation values recorded in the locality are between 25% and 40% of probability. Finally, probable rainfall values were presented at different probability levels for the city of Cruzeiro do Sul.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
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=S1980-993X2021000100307
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2021000100307
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.4136/ambi-agua.2593
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 Instituto de Pesquisas Ambientais em Bacias Hidrográficas
publisher.none.fl_str_mv Instituto de Pesquisas Ambientais em Bacias Hidrográficas
dc.source.none.fl_str_mv Revista Ambiente & Água v.16 n.1 2021
reponame:Revista Ambiente & Água
instname:Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
instacron:IPABHI
instname_str Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
instacron_str IPABHI
institution IPABHI
reponame_str Revista Ambiente & Água
collection Revista Ambiente & Água
repository.name.fl_str_mv Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
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