DISTRIBUTION AND PROBABILITY OF RAINFALL OCCURRENCE IN CÁCERES, MATO GROSSO STATE, BRAZIL

Detalhes bibliográficos
Autor(a) principal: Pizzato, Jaqueline Aguilla
Data de Publicação: 2012
Outros Autores: Dallacort, Rivanildo, Tieppo, Rafael César, Modolo, Alcir José, Cremon, Cassiano, Moreira, Patrícia Simone Palhana
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Agropecuária Tropical (Online)
Texto Completo: https://revistas.ufg.br/pat/article/view/14144
Resumo: Rainfall is an important meteorological element, and the knowledge on its historical records is relevant for monitoring the impacts caused by its prolonged excess or lack. This study aimed to evaluate the monthly and annual rainfall variability and the probability for its occurrence, by using the incomplete Gamma distribution model, for the rainfall data from Cáceres, Mato Grosso State, Brazil. A series of 26 years data, provided by the National Institute of Meteorology, which supports a station in Cáceres, was used. The annual rainfall amounts showed great variability, with minimum of 972.9 mm, in 1985, and maximum of 1,624.1 mm, in 1998. The monthly data pointed out two well defined seasons: the dry season (May to September) and the rainy one (October to April). The lowest monthly averages occurred in June, July, and August, with 16.59 mm, 17.90 mm, and 20.09 mm, respectively. The estimates for the ? parameter ranged from 0.9, in June and August, to 13.4, in March. The ? parameter ranged from 13.2, in March, to 33.1, in January. The highest rainfall probability takes place from December to March, while June, July, and August show the lowest rainfall probability.
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spelling DISTRIBUTION AND PROBABILITY OF RAINFALL OCCURRENCE IN CÁCERES, MATO GROSSO STATE, BRAZILDISTRIBUIÇÃO E PROBABILIDADE DE OCORRÊNCIA DE PRECIPITAÇÃO EM CÁCERES (MT)Incomplete Gamma functionclimatemeteorology.Função Gama incompletaclimameteorologia.Rainfall is an important meteorological element, and the knowledge on its historical records is relevant for monitoring the impacts caused by its prolonged excess or lack. This study aimed to evaluate the monthly and annual rainfall variability and the probability for its occurrence, by using the incomplete Gamma distribution model, for the rainfall data from Cáceres, Mato Grosso State, Brazil. A series of 26 years data, provided by the National Institute of Meteorology, which supports a station in Cáceres, was used. The annual rainfall amounts showed great variability, with minimum of 972.9 mm, in 1985, and maximum of 1,624.1 mm, in 1998. The monthly data pointed out two well defined seasons: the dry season (May to September) and the rainy one (October to April). The lowest monthly averages occurred in June, July, and August, with 16.59 mm, 17.90 mm, and 20.09 mm, respectively. The estimates for the ? parameter ranged from 0.9, in June and August, to 13.4, in March. The ? parameter ranged from 13.2, in March, to 33.1, in January. The highest rainfall probability takes place from December to March, while June, July, and August show the lowest rainfall probability.A precipitação é um elemento meteorológico de grande importância, e seu conhecimento histórico torna-se relevante para o monitoramento de impactos causados pelo seu excesso ou falta prolongados. Objetivou-se, no presente trabalho, analisar a distribuição da precipitação mensal e anual e os níveis de probabilidade de ocorrência de chuvas, utilizando-se o modelo probabilístico de distribuição Gama incompleta, para os dados de precipitação pluviométrica de Cáceres (MT). Utilizou-se uma série de dados de 26 anos, disponibilizada pelo Instituto Nacional de Meteorologia, o qual possui uma estação em Cáceres. A precipitação anual teve grande variabilidade, com mínima de 972,9 mm, em 1985, e máxima de 1.624,1 mm, em 1998. Observou-se, por meio dos dados mensais, que existem duas estações bem definidas, a seca (maio a setembro) e a chuvosa (outubro a abril). As menores médias mensais ocorreram nos meses de junho, julho e agosto, com 16,59 mm, 17,90 mm e 20,09 mm, respectivamente. As estimativas do parâmetro ? variaram de 0,9, em junho e agosto, a 13,4, em março. O parâmetro ? variou de 13,2, em março, a 33,1, em janeiro. O período com maior probabilidade de precipitação vai de dezembro a março, enquanto junho, julho e agosto foram os meses em que a probabilidade de ocorrência de precipitação foi mais baixa.Escola de Agronomia - Universidade Federal de Goiás2012-04-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa Experimentalapplication/pdfhttps://revistas.ufg.br/pat/article/view/14144Pesquisa Agropecuária Tropical [Agricultural Research in the Tropics]; v. 42, n. 2, Apr./Jun. 2012; 137-142Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics); v. 42, n. 2, abr./jun. 2012; 137-142Pesquisa Agropecuária Tropical; v. 42, n. 2, abr./jun. 2012; 137-1421983-4063reponame:Pesquisa Agropecuária Tropical (Online)instname:Universidade Federal de Goiás (UFG)instacron:UFGporhttps://revistas.ufg.br/pat/article/view/14144/10777Copyright (c) 2020 Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics)info:eu-repo/semantics/openAccessPizzato, Jaqueline AguillaDallacort, RivanildoTieppo, Rafael CésarModolo, Alcir JoséCremon, CassianoMoreira, Patrícia Simone Palhana2020-07-10T11:19:13Zoai:ojs.revistas.ufg.br:article/14144Revistahttps://revistas.ufg.br/patPUBhttps://revistas.ufg.br/pat/oaiaseleguini.pat@gmail.com||mgoes@agro.ufg.br1983-40631517-6398opendoar:2024-05-21T19:55:52.392081Pesquisa Agropecuária Tropical (Online) - Universidade Federal de Goiás (UFG)true
dc.title.none.fl_str_mv DISTRIBUTION AND PROBABILITY OF RAINFALL OCCURRENCE IN CÁCERES, MATO GROSSO STATE, BRAZIL
DISTRIBUIÇÃO E PROBABILIDADE DE OCORRÊNCIA DE PRECIPITAÇÃO EM CÁCERES (MT)
title DISTRIBUTION AND PROBABILITY OF RAINFALL OCCURRENCE IN CÁCERES, MATO GROSSO STATE, BRAZIL
spellingShingle DISTRIBUTION AND PROBABILITY OF RAINFALL OCCURRENCE IN CÁCERES, MATO GROSSO STATE, BRAZIL
Pizzato, Jaqueline Aguilla
Incomplete Gamma function
climate
meteorology.
Função Gama incompleta
clima
meteorologia.
title_short DISTRIBUTION AND PROBABILITY OF RAINFALL OCCURRENCE IN CÁCERES, MATO GROSSO STATE, BRAZIL
title_full DISTRIBUTION AND PROBABILITY OF RAINFALL OCCURRENCE IN CÁCERES, MATO GROSSO STATE, BRAZIL
title_fullStr DISTRIBUTION AND PROBABILITY OF RAINFALL OCCURRENCE IN CÁCERES, MATO GROSSO STATE, BRAZIL
title_full_unstemmed DISTRIBUTION AND PROBABILITY OF RAINFALL OCCURRENCE IN CÁCERES, MATO GROSSO STATE, BRAZIL
title_sort DISTRIBUTION AND PROBABILITY OF RAINFALL OCCURRENCE IN CÁCERES, MATO GROSSO STATE, BRAZIL
author Pizzato, Jaqueline Aguilla
author_facet Pizzato, Jaqueline Aguilla
Dallacort, Rivanildo
Tieppo, Rafael César
Modolo, Alcir José
Cremon, Cassiano
Moreira, Patrícia Simone Palhana
author_role author
author2 Dallacort, Rivanildo
Tieppo, Rafael César
Modolo, Alcir José
Cremon, Cassiano
Moreira, Patrícia Simone Palhana
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Pizzato, Jaqueline Aguilla
Dallacort, Rivanildo
Tieppo, Rafael César
Modolo, Alcir José
Cremon, Cassiano
Moreira, Patrícia Simone Palhana
dc.subject.por.fl_str_mv Incomplete Gamma function
climate
meteorology.
Função Gama incompleta
clima
meteorologia.
topic Incomplete Gamma function
climate
meteorology.
Função Gama incompleta
clima
meteorologia.
description Rainfall is an important meteorological element, and the knowledge on its historical records is relevant for monitoring the impacts caused by its prolonged excess or lack. This study aimed to evaluate the monthly and annual rainfall variability and the probability for its occurrence, by using the incomplete Gamma distribution model, for the rainfall data from Cáceres, Mato Grosso State, Brazil. A series of 26 years data, provided by the National Institute of Meteorology, which supports a station in Cáceres, was used. The annual rainfall amounts showed great variability, with minimum of 972.9 mm, in 1985, and maximum of 1,624.1 mm, in 1998. The monthly data pointed out two well defined seasons: the dry season (May to September) and the rainy one (October to April). The lowest monthly averages occurred in June, July, and August, with 16.59 mm, 17.90 mm, and 20.09 mm, respectively. The estimates for the ? parameter ranged from 0.9, in June and August, to 13.4, in March. The ? parameter ranged from 13.2, in March, to 33.1, in January. The highest rainfall probability takes place from December to March, while June, July, and August show the lowest rainfall probability.
publishDate 2012
dc.date.none.fl_str_mv 2012-04-18
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Pesquisa Experimental
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufg.br/pat/article/view/14144
url https://revistas.ufg.br/pat/article/view/14144
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revistas.ufg.br/pat/article/view/14144/10777
dc.rights.driver.fl_str_mv Copyright (c) 2020 Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics)
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics)
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Escola de Agronomia - Universidade Federal de Goiás
publisher.none.fl_str_mv Escola de Agronomia - Universidade Federal de Goiás
dc.source.none.fl_str_mv Pesquisa Agropecuária Tropical [Agricultural Research in the Tropics]; v. 42, n. 2, Apr./Jun. 2012; 137-142
Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics); v. 42, n. 2, abr./jun. 2012; 137-142
Pesquisa Agropecuária Tropical; v. 42, n. 2, abr./jun. 2012; 137-142
1983-4063
reponame:Pesquisa Agropecuária Tropical (Online)
instname:Universidade Federal de Goiás (UFG)
instacron:UFG
instname_str Universidade Federal de Goiás (UFG)
instacron_str UFG
institution UFG
reponame_str Pesquisa Agropecuária Tropical (Online)
collection Pesquisa Agropecuária Tropical (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Tropical (Online) - Universidade Federal de Goiás (UFG)
repository.mail.fl_str_mv aseleguini.pat@gmail.com||mgoes@agro.ufg.br
_version_ 1799874817739980800

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