Likely precipitation to Barbalha-Ceará, Brazil with use of gama distribution

Detalhes bibliográficos
Autor(a) principal: Medeiros, Raimundo Mainar de
Data de Publicação: 2021
Outros Autores: Saboya, Luciano Marcelo Falle, Holanda, Romildo Morant de, França, Manoel Vieira de, Cunha Filho, Moacyr, Araújo, Wagner Rodolfo de
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/24623
Resumo: Studies on rainfall distribution favor the planning of the amount of water necessary for the development of human activities, whether personal, industrial or agricultural. The objective is to statistically model the monthly mean precipitation values ​​and estimate the respective precipitations at different levels of probability, through the gamma distribution, for Barbalha - Ceará, in the period 1973 to 2017. The Gamma probabilistic function model and the adherence test Monthly data were evaluated by the Kolmogorov-Smirnov test. Means range from 3.6 mm (August) to 237.4 mm (March). The four-month period with the highest rainfall is registered between January and April, and the one with the lowest indices occurs between June and September. The oscillation of the alpha parameter occurred from 0.829 (August/September) to 0.896 (March), the beta parameter oscillated between 0.851 (August/September) to 0.922 (March). Regarding the empirical probability for occurrences of total annual rainfall, the percentage stands out 50% and 70% with rain possibilities higher than the historical average.
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spelling Likely precipitation to Barbalha-Ceará, Brazil with use of gama distributionProbable precipitación a Barbalha-Ceará, Brasil utilizando la distribución de gamaPrecipitação provável para Barbalha-Ceará, Brasil com uso da distribuição gamaDistribuição de probabilidadeÍndices pluviaisAnomalias. Distribución de probabilidadÍndices de lluviaAnomalías.Probability distributionRainfall indexesAnomalies.Studies on rainfall distribution favor the planning of the amount of water necessary for the development of human activities, whether personal, industrial or agricultural. The objective is to statistically model the monthly mean precipitation values ​​and estimate the respective precipitations at different levels of probability, through the gamma distribution, for Barbalha - Ceará, in the period 1973 to 2017. The Gamma probabilistic function model and the adherence test Monthly data were evaluated by the Kolmogorov-Smirnov test. Means range from 3.6 mm (August) to 237.4 mm (March). The four-month period with the highest rainfall is registered between January and April, and the one with the lowest indices occurs between June and September. The oscillation of the alpha parameter occurred from 0.829 (August/September) to 0.896 (March), the beta parameter oscillated between 0.851 (August/September) to 0.922 (March). Regarding the empirical probability for occurrences of total annual rainfall, the percentage stands out 50% and 70% with rain possibilities higher than the historical average.Los estudios sobre la distribución de las lluvias favorecen la planificación de la cantidad de agua necesaria para el desarrollo de las actividades humanas, ya sean personales, industriales o agrícolas. El objetivo es modelar estadísticamente los valores de precipitación media mensual y estimar las respectivas precipitaciones a diferentes niveles de probabilidad, a través de la distribución gamma, para Barbalha - Ceará, en el período 1973 a 2017. El modelo de función probabilística Gamma y la adherencia prueba Los datos mensuales se evaluaron mediante la prueba de Kolmogorov-Smirnov, con medias que oscilan entre 3,6 mm (agosto) y 237,4 mm (marzo). El cuatrimestre con mayor precipitación se registra entre enero y abril, y el de menores índices ocurre entre junio y septiembre. La oscilación del parámetro alfa ocurrió de 0,829 (agosto / septiembre) a 0,896 (marzo), el parámetro beta osciló entre 0,851 (agosto / septiembre) a 0,922 (marzo). En cuanto a la probabilidad empírica de ocurrencia de precipitación total anual, se destaca el porcentaje de 50% y 70% con posibilidades de lluvia superiores a la media histórica.Estudos sobre a distribuição pluvial favorecem o planejamento da quantidade d’água necessária para o desenvolvimento das atividades humanas, seja ela pessoal, industrial e agropecuária. Objetiva-se modelar estatisticamente os valores médios mensais de precipitação e estimar as respectivas precipitações em diferentes níveis de probabilidade, através da distribuição gama, para Barbalha – Ceará, no período de 1973 a 2017. O modelo da função probabilística Gama e o teste de aderência dos dados mensais foram avaliados pelo teste de Kolmogorov-Smirnov. As médias fluem entre 3,6 mm (agosto) a 237,4 mm (março). O quadrimestre de maiores índices pluviais registra-se entre janeiro a abril, e o de menores índices ocorrem entre junho a setembro.  A oscilação do parâmetro alfa ocorreu de 0,829 (agosto/setembro) a 0,896 (março), o parâmetro beta oscilou entre 0,851(agosto/setembro) a 0,922 (março). Em relação a Probabilidade empírica para ocorrências de totais de chuvas anuais o percentual destaca-se 50% e 70% com possibilidades de chuva superior à média histórica.Research, Society and Development2021-12-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2462310.33448/rsd-v10i17.24623Research, Society and Development; Vol. 10 No. 17; e203101724623Research, Society and Development; Vol. 10 Núm. 17; e203101724623Research, Society and Development; v. 10 n. 17; e2031017246232525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/24623/21496Copyright (c) 2021 Raimundo Mainar de Medeiros; Luciano Marcelo Falle Saboya; Romildo Morant de Holanda; Manoel Vieira de França; Moacyr Cunha Filho; Wagner Rodolfo de Araújohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessMedeiros, Raimundo Mainar de Saboya, Luciano Marcelo Falle Holanda, Romildo Morant de França, Manoel Vieira de Cunha Filho, MoacyrAraújo, Wagner Rodolfo de 2022-01-01T11:11:08Zoai:ojs.pkp.sfu.ca:article/24623Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:43:07.110080Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Likely precipitation to Barbalha-Ceará, Brazil with use of gama distribution
Probable precipitación a Barbalha-Ceará, Brasil utilizando la distribución de gama
Precipitação provável para Barbalha-Ceará, Brasil com uso da distribuição gama
title Likely precipitation to Barbalha-Ceará, Brazil with use of gama distribution
spellingShingle Likely precipitation to Barbalha-Ceará, Brazil with use of gama distribution
Medeiros, Raimundo Mainar de
Distribuição de probabilidade
Índices pluviais
Anomalias.
Distribución de probabilidad
Índices de lluvia
Anomalías.
Probability distribution
Rainfall indexes
Anomalies.
title_short Likely precipitation to Barbalha-Ceará, Brazil with use of gama distribution
title_full Likely precipitation to Barbalha-Ceará, Brazil with use of gama distribution
title_fullStr Likely precipitation to Barbalha-Ceará, Brazil with use of gama distribution
title_full_unstemmed Likely precipitation to Barbalha-Ceará, Brazil with use of gama distribution
title_sort Likely precipitation to Barbalha-Ceará, Brazil with use of gama distribution
author Medeiros, Raimundo Mainar de
author_facet Medeiros, Raimundo Mainar de
Saboya, Luciano Marcelo Falle
Holanda, Romildo Morant de
França, Manoel Vieira de
Cunha Filho, Moacyr
Araújo, Wagner Rodolfo de
author_role author
author2 Saboya, Luciano Marcelo Falle
Holanda, Romildo Morant de
França, Manoel Vieira de
Cunha Filho, Moacyr
Araújo, Wagner Rodolfo de
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Medeiros, Raimundo Mainar de
Saboya, Luciano Marcelo Falle
Holanda, Romildo Morant de
França, Manoel Vieira de
Cunha Filho, Moacyr
Araújo, Wagner Rodolfo de
dc.subject.por.fl_str_mv Distribuição de probabilidade
Índices pluviais
Anomalias.
Distribución de probabilidad
Índices de lluvia
Anomalías.
Probability distribution
Rainfall indexes
Anomalies.
topic Distribuição de probabilidade
Índices pluviais
Anomalias.
Distribución de probabilidad
Índices de lluvia
Anomalías.
Probability distribution
Rainfall indexes
Anomalies.
description Studies on rainfall distribution favor the planning of the amount of water necessary for the development of human activities, whether personal, industrial or agricultural. The objective is to statistically model the monthly mean precipitation values ​​and estimate the respective precipitations at different levels of probability, through the gamma distribution, for Barbalha - Ceará, in the period 1973 to 2017. The Gamma probabilistic function model and the adherence test Monthly data were evaluated by the Kolmogorov-Smirnov test. Means range from 3.6 mm (August) to 237.4 mm (March). The four-month period with the highest rainfall is registered between January and April, and the one with the lowest indices occurs between June and September. The oscillation of the alpha parameter occurred from 0.829 (August/September) to 0.896 (March), the beta parameter oscillated between 0.851 (August/September) to 0.922 (March). Regarding the empirical probability for occurrences of total annual rainfall, the percentage stands out 50% and 70% with rain possibilities higher than the historical average.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-25
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/24623
10.33448/rsd-v10i17.24623
url https://rsdjournal.org/index.php/rsd/article/view/24623
identifier_str_mv 10.33448/rsd-v10i17.24623
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/24623/21496
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. 10 No. 17; e203101724623
Research, Society and Development; Vol. 10 Núm. 17; e203101724623
Research, Society and Development; v. 10 n. 17; e203101724623
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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