Functions of probability for fitting monthly rainfall in sites of Mato Grosso do Sul state
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Bioscience journal (Online) |
Texto Completo: | https://seer.ufu.br/index.php/biosciencejournal/article/view/29394 |
Resumo: | The identification of the probability distribution function for the representation of the monthly rainfall is relevant in agricultural planning, mainly regard to the establishment of crops. The aim of this work was to verify the probability distribution (exponential, gamma or normal) which best fits to data monthly rainfall of 14 sites in the state of Mato Grosso do Sul. Rainfall data of 14 stations (sites) of the State of Mato Grosso do Sul it were obtained from the National Water Agency (ANA) database, collected in the period 1975 - 2013. At each of the 168 time series of monthly rainfall was applied the Kolmogorov-Smirnov test to assess the fit to probability distributions exponential, gamma and normal. The normal probability distribution presented the best fit to monthly rainfall series of Mato Grosso do Sul and it can be used for the estimation the monthly rainfall, especially in the rainy season months (October to March). The exponential probability distribution can be used for the estimation of monthly rainfall in the driest months of the year (May to September). Thus, we recommend that these distributions be used in future research, aimed to estimate the probable rainfall for the Mato Grosso do Sul State. |
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Functions of probability for fitting monthly rainfall in sites of Mato Grosso do Sul state time series adherenceexponential distributiongamma distributionnormal distribution.Agricultural SciencesThe identification of the probability distribution function for the representation of the monthly rainfall is relevant in agricultural planning, mainly regard to the establishment of crops. The aim of this work was to verify the probability distribution (exponential, gamma or normal) which best fits to data monthly rainfall of 14 sites in the state of Mato Grosso do Sul. Rainfall data of 14 stations (sites) of the State of Mato Grosso do Sul it were obtained from the National Water Agency (ANA) database, collected in the period 1975 - 2013. At each of the 168 time series of monthly rainfall was applied the Kolmogorov-Smirnov test to assess the fit to probability distributions exponential, gamma and normal. The normal probability distribution presented the best fit to monthly rainfall series of Mato Grosso do Sul and it can be used for the estimation the monthly rainfall, especially in the rainy season months (October to March). The exponential probability distribution can be used for the estimation of monthly rainfall in the driest months of the year (May to September). Thus, we recommend that these distributions be used in future research, aimed to estimate the probable rainfall for the Mato Grosso do Sul State.EDUFU2016-04-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/2939410.14393/BJ-v32n2a2016-29394Bioscience Journal ; Vol. 32 No. 2 (2016): Mar./Apr.; 319-327Bioscience Journal ; v. 32 n. 2 (2016): Mar./Apr.; 319-3271981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/29394/18103Brazil; ContemporaryCopyright (c) 2016 Paulo Eduardo Teodoro, Alberto Cargnelutti Filho, Francisco Eduardo Torres, Larissa Pereira Ribeiro, Denise Prevedel Carpisto, Caio Cézar Guedes Corrêa, Elias Rodrigues da Cunha, Victor Matheus Bacanihttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessTeodoro, Paulo EduardoCargnelutti Filho, AlbertoTorres, Francisco EduardoRibeiro, Larissa PereiraCarpisto, Denise PrevedelGuedes Corrêa, Caio Cézarda Cunha, Elias RodriguesBacani, Victor Matheus2022-05-17T16:33:05Zoai:ojs.www.seer.ufu.br:article/29394Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-05-17T16:33:05Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
Functions of probability for fitting monthly rainfall in sites of Mato Grosso do Sul state |
title |
Functions of probability for fitting monthly rainfall in sites of Mato Grosso do Sul state |
spellingShingle |
Functions of probability for fitting monthly rainfall in sites of Mato Grosso do Sul state Teodoro, Paulo Eduardo time series adherence exponential distribution gamma distribution normal distribution. Agricultural Sciences |
title_short |
Functions of probability for fitting monthly rainfall in sites of Mato Grosso do Sul state |
title_full |
Functions of probability for fitting monthly rainfall in sites of Mato Grosso do Sul state |
title_fullStr |
Functions of probability for fitting monthly rainfall in sites of Mato Grosso do Sul state |
title_full_unstemmed |
Functions of probability for fitting monthly rainfall in sites of Mato Grosso do Sul state |
title_sort |
Functions of probability for fitting monthly rainfall in sites of Mato Grosso do Sul state |
author |
Teodoro, Paulo Eduardo |
author_facet |
Teodoro, Paulo Eduardo Cargnelutti Filho, Alberto Torres, Francisco Eduardo Ribeiro, Larissa Pereira Carpisto, Denise Prevedel Guedes Corrêa, Caio Cézar da Cunha, Elias Rodrigues Bacani, Victor Matheus |
author_role |
author |
author2 |
Cargnelutti Filho, Alberto Torres, Francisco Eduardo Ribeiro, Larissa Pereira Carpisto, Denise Prevedel Guedes Corrêa, Caio Cézar da Cunha, Elias Rodrigues Bacani, Victor Matheus |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Teodoro, Paulo Eduardo Cargnelutti Filho, Alberto Torres, Francisco Eduardo Ribeiro, Larissa Pereira Carpisto, Denise Prevedel Guedes Corrêa, Caio Cézar da Cunha, Elias Rodrigues Bacani, Victor Matheus |
dc.subject.por.fl_str_mv |
time series adherence exponential distribution gamma distribution normal distribution. Agricultural Sciences |
topic |
time series adherence exponential distribution gamma distribution normal distribution. Agricultural Sciences |
description |
The identification of the probability distribution function for the representation of the monthly rainfall is relevant in agricultural planning, mainly regard to the establishment of crops. The aim of this work was to verify the probability distribution (exponential, gamma or normal) which best fits to data monthly rainfall of 14 sites in the state of Mato Grosso do Sul. Rainfall data of 14 stations (sites) of the State of Mato Grosso do Sul it were obtained from the National Water Agency (ANA) database, collected in the period 1975 - 2013. At each of the 168 time series of monthly rainfall was applied the Kolmogorov-Smirnov test to assess the fit to probability distributions exponential, gamma and normal. The normal probability distribution presented the best fit to monthly rainfall series of Mato Grosso do Sul and it can be used for the estimation the monthly rainfall, especially in the rainy season months (October to March). The exponential probability distribution can be used for the estimation of monthly rainfall in the driest months of the year (May to September). Thus, we recommend that these distributions be used in future research, aimed to estimate the probable rainfall for the Mato Grosso do Sul State. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-04-04 |
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://seer.ufu.br/index.php/biosciencejournal/article/view/29394 10.14393/BJ-v32n2a2016-29394 |
url |
https://seer.ufu.br/index.php/biosciencejournal/article/view/29394 |
identifier_str_mv |
10.14393/BJ-v32n2a2016-29394 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/biosciencejournal/article/view/29394/18103 |
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.coverage.none.fl_str_mv |
Brazil; Contemporary |
dc.publisher.none.fl_str_mv |
EDUFU |
publisher.none.fl_str_mv |
EDUFU |
dc.source.none.fl_str_mv |
Bioscience Journal ; Vol. 32 No. 2 (2016): Mar./Apr.; 319-327 Bioscience Journal ; v. 32 n. 2 (2016): Mar./Apr.; 319-327 1981-3163 reponame:Bioscience journal (Online) instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Bioscience journal (Online) |
collection |
Bioscience journal (Online) |
repository.name.fl_str_mv |
Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
biosciencej@ufu.br|| |
_version_ |
1797069075769196544 |