Rain probability in Bom Jesus - Piauí, Brazil

Detalhes bibliográficos
Autor(a) principal: Saboya, Luciano Marcelo Fallé
Data de Publicação: 2022
Outros Autores: Medeiros, Raimundo Mainar de, Holanda, Romildo Morant de, França, Manoel Vieira de, Araújo, Wagner Rodolfo de, Cunha Filho, Moacyr
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/26609
Resumo: Rainfall probability studies are important for the adequate design of public works, such as drainage systems, and for soil management and conservation practices that should be implemented by farmers. The objective of this study was to study the probability of rainfall episodes using monthly and annual precipitation data for the municipality of Bom Jesus. We worked with the period from 1960 to 2018, which were analyzed for consistency, homogenization and filling of gaps and ordering. Daily, monthly, and annual precipitation information was obtained, generating information about daily and monthly absolute maximum values; monthly and annual maximum, average, and minimum values. The monthly precipitation was fitted to the gamma distribution. The probability of rainfall occurrence in the municipality of Inconfidentes is variable for each month, but follows a pattern over the years. Although months like January, February and October, are more critical with a probability of 4.4%, 2.2% and 6.7%, respectively for the occurrence of rainfall of more than 90 mm daily and a lower incidence in the months of June and July with a probability of approximately 0%. The possibility of precipitation anomalies is real even with the low probability. Determining the availability of water, the probability of occurrence of extreme events and the return period can make an optimized planning, helping in the development of various types of projects, bringing benefits to the local society.
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spelling Rain probability in Bom Jesus - Piauí, BrazilProbabilidad de lluvia en Bom Jesus - Piauí, BrasilProbabilidade de chuvas em Bom Jesus - Piauí, BrasilPrecipitaçãoProbabilidadeDistribuição Gama.PrecipitaciónProbabilidadDistribución Gamma.PrecipitationProbabilityGamma Distribution.Rainfall probability studies are important for the adequate design of public works, such as drainage systems, and for soil management and conservation practices that should be implemented by farmers. The objective of this study was to study the probability of rainfall episodes using monthly and annual precipitation data for the municipality of Bom Jesus. We worked with the period from 1960 to 2018, which were analyzed for consistency, homogenization and filling of gaps and ordering. Daily, monthly, and annual precipitation information was obtained, generating information about daily and monthly absolute maximum values; monthly and annual maximum, average, and minimum values. The monthly precipitation was fitted to the gamma distribution. The probability of rainfall occurrence in the municipality of Inconfidentes is variable for each month, but follows a pattern over the years. Although months like January, February and October, are more critical with a probability of 4.4%, 2.2% and 6.7%, respectively for the occurrence of rainfall of more than 90 mm daily and a lower incidence in the months of June and July with a probability of approximately 0%. The possibility of precipitation anomalies is real even with the low probability. Determining the availability of water, the probability of occurrence of extreme events and the return period can make an optimized planning, helping in the development of various types of projects, bringing benefits to the local society.Los estudios de probabilidad de lluvia son importantes para el diseño adecuado de las obras públicas, como los sistemas de drenaje, y para las prácticas de gestión y conservación del suelo que deben aplicar los agricultores. El objetivo fue estudiar la probabilidad de los episodios de precipitación utilizando datos de precipitación mensual y anual para el municipio de Bom Jesus. Se trabajó con el período comprendido entre 1960 y 2018, que fueron analizados para su consistencia, homogeneización y llenado de vacíos y ordenamiento. Se obtuvo información de las precipitaciones diarias, mensuales y anuales, generando información sobre los valores máximos absolutos diarios y mensuales; valores máximos, medios y mínimos mensuales y anuales. La precipitación mensual se ajustó a la distribución gamma. La probabilidad de ocurrencia de lluvias en el municipio de Inconfidentes es variable para cada mes, pero sigue un patrón a lo largo de los años. Aunque meses como enero, febrero y octubre, son más críticos con una probabilidad del 4,4%, 2,2% y 6,7%, respectivamente para la ocurrencia de precipitaciones de más de 90 mm diarios y menor incidencia en los meses de junio y julio con probabilidad de aproximadamente 0%. La posibilidad de que se produzcan anomalías en las precipitaciones es real, aunque con baja probabilidad. La determinación de la disponibilidad de agua, la probabilidad de ocurrencia de eventos extremos y el período de retorno puede hacer una planificación optimizada, ayudando en el desarrollo de varios tipos de proyectos, trayendo beneficios a la sociedad local.Os estudos de probabilidade de ocorrência de chuvas são importantes em razão do adequado dimensionamento de obras públicas, como sistemas de drenagem, e de práticas de manejo e conservação do solo, que devem ser implementados pelos agricultores. Objetiva-se estudar a probabilidade de episódios de chuvas utilizando dados de precipitações mensais e anuais, para o munícipio de Bom Jesus. Trabalhou-se com o período de 1960 a 2018, os quais foram analisados quanto a consistência, homogeneização e preenchimentos de falhas e ordenação. Obteve-se informações de precipitação diária, mensal e anual, gerando informações sobre valores máximos absolutos diários e mensais; máxima, média e mínima mensal e anual. Ajustou-se a precipitação mensal a distribuição gama. A probabilidade de ocorrência de chuvas no município de Inconfidentes é variável para cada mês, mas segue um padrão no decorrer dos anos. Embora meses como janeiro, fevereiro e outubro, sejam mais críticos com a probabilidade de 4,4%, 2,2% e 6,7%, respectivamente para ocorrência de chuvas com mais de 90 mm diários e menor incidência nos meses de junho e julho com probabilidade de aproximadamente 0%. A possibilidade de anomalias na precipitação é real mesmo que com a baixa probabilidade. Determinando a disponibilidade hídrica, a probabilidade de ocorrência de eventos extremos e o período de retorno pode-se fazer um planejamento otimizado, ajudando no desenvolvimento de vários tipos de projetos, trazendo benefícios para a sociedade local.Research, Society and Development2022-02-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2660910.33448/rsd-v11i3.26609Research, Society and Development; Vol. 11 No. 3; e32411326609Research, Society and Development; Vol. 11 Núm. 3; e32411326609Research, Society and Development; v. 11 n. 3; e324113266092525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/26609/23293Copyright (c) 2022 Luciano Marcelo Fallé Saboya; Raimundo Mainar de Medeiros; Romildo Morant de Holanda; Manoel Vieira de França; Wagner Rodolfo de Araújo; Moacyr Cunha Filhohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSaboya, Luciano Marcelo Fallé Medeiros, Raimundo Mainar deHolanda, Romildo Morant de França, Manoel Vieira de Araújo, Wagner Rodolfo de Cunha Filho, Moacyr2022-03-09T13:44:38Zoai:ojs.pkp.sfu.ca:article/26609Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:44:36.409007Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Rain probability in Bom Jesus - Piauí, Brazil
Probabilidad de lluvia en Bom Jesus - Piauí, Brasil
Probabilidade de chuvas em Bom Jesus - Piauí, Brasil
title Rain probability in Bom Jesus - Piauí, Brazil
spellingShingle Rain probability in Bom Jesus - Piauí, Brazil
Saboya, Luciano Marcelo Fallé
Precipitação
Probabilidade
Distribuição Gama.
Precipitación
Probabilidad
Distribución Gamma.
Precipitation
Probability
Gamma Distribution.
title_short Rain probability in Bom Jesus - Piauí, Brazil
title_full Rain probability in Bom Jesus - Piauí, Brazil
title_fullStr Rain probability in Bom Jesus - Piauí, Brazil
title_full_unstemmed Rain probability in Bom Jesus - Piauí, Brazil
title_sort Rain probability in Bom Jesus - Piauí, Brazil
author Saboya, Luciano Marcelo Fallé
author_facet Saboya, Luciano Marcelo Fallé
Medeiros, Raimundo Mainar de
Holanda, Romildo Morant de
França, Manoel Vieira de
Araújo, Wagner Rodolfo de
Cunha Filho, Moacyr
author_role author
author2 Medeiros, Raimundo Mainar de
Holanda, Romildo Morant de
França, Manoel Vieira de
Araújo, Wagner Rodolfo de
Cunha Filho, Moacyr
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Saboya, Luciano Marcelo Fallé
Medeiros, Raimundo Mainar de
Holanda, Romildo Morant de
França, Manoel Vieira de
Araújo, Wagner Rodolfo de
Cunha Filho, Moacyr
dc.subject.por.fl_str_mv Precipitação
Probabilidade
Distribuição Gama.
Precipitación
Probabilidad
Distribución Gamma.
Precipitation
Probability
Gamma Distribution.
topic Precipitação
Probabilidade
Distribuição Gama.
Precipitación
Probabilidad
Distribución Gamma.
Precipitation
Probability
Gamma Distribution.
description Rainfall probability studies are important for the adequate design of public works, such as drainage systems, and for soil management and conservation practices that should be implemented by farmers. The objective of this study was to study the probability of rainfall episodes using monthly and annual precipitation data for the municipality of Bom Jesus. We worked with the period from 1960 to 2018, which were analyzed for consistency, homogenization and filling of gaps and ordering. Daily, monthly, and annual precipitation information was obtained, generating information about daily and monthly absolute maximum values; monthly and annual maximum, average, and minimum values. The monthly precipitation was fitted to the gamma distribution. The probability of rainfall occurrence in the municipality of Inconfidentes is variable for each month, but follows a pattern over the years. Although months like January, February and October, are more critical with a probability of 4.4%, 2.2% and 6.7%, respectively for the occurrence of rainfall of more than 90 mm daily and a lower incidence in the months of June and July with a probability of approximately 0%. The possibility of precipitation anomalies is real even with the low probability. Determining the availability of water, the probability of occurrence of extreme events and the return period can make an optimized planning, helping in the development of various types of projects, bringing benefits to the local society.
publishDate 2022
dc.date.none.fl_str_mv 2022-02-24
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/26609
10.33448/rsd-v11i3.26609
url https://rsdjournal.org/index.php/rsd/article/view/26609
identifier_str_mv 10.33448/rsd-v11i3.26609
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/26609/23293
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 11 No. 3; e32411326609
Research, Society and Development; Vol. 11 Núm. 3; e32411326609
Research, Society and Development; v. 11 n. 3; e32411326609
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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