Rain probability in Bom Jesus - Piauí, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
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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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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1797052705502396416 |