Likely precipitation to Barbalha-Ceará, Brazil with use of gama distribution
Autor(a) principal: | |
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Data de Publicação: | 2021 |
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/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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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 |
_version_ |
1797052791789715456 |