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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
28/05/2013 |
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Data da última atualização: |
08/01/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CARVALHO, J. R. P. de; ASSAD, E. D.; EVANGELISTA, S. R. M.; PINTO, H. da S. |
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Afiliação: |
JOSÉ RUY PORTO DE CARVALHO, CNPTIA; EDUARDO DELGADO ASSAD, CNPTIA; SILVIO ROBERTO MEDEIROS EVANGELISTA, CNPTIA; HILTON DA SILVEIRA PINTO, Cepagri/Unicamp. |
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Título: |
Estimation of dry spells in three Brazilian regions - Analysis of extremes. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Atmospheric Research, Amsterdam, v. 132-133, p. 12-21, 2013. |
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DOI: |
http://dx.doi.org/10.1016/j.atmosres.2013.04.003 |
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Idioma: |
Inglês |
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Conteúdo: |
The aim of this study was to model the occurrence of extreme dry spells in the Midwest, Southeast and Southern regions of Brazil and estimate the return period of the phenomenon indicating the time when the occurrence is more severe. The generalized extreme value distribution was the best fit for a series of maximum dry spell number and the parameters estimated by the maximum likelihood method. The data series adherence to the probability distribution was verified by the Kolmogorov?Smirnov test and the percentile?percentile charts. The positive trend of dry spells was verified by the Mann?Kendall test and non-stationarity rejected by Dickey?Fuller and augmented Dickey?Fuller tests. The irregular distribution of rainfall in the growing season for the Midwest region has increased the number of dry spells. The increase of rainy days in the Southeast and the South resulted in a decrease of dry spells in these regions. Regarding the return period of one year, dry spells occurred from 5 to 25 days in the Midwest region meaning a loss of productivity for Brazilian agriculture if it happened between the flowering and grain filling phases, making it, therefore the region with the largest agricultural risk. When the intensity of the dry spells was analyzed for different return periods, the Southern region was the most vulnerable. |
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Palavras-Chave: |
Dias chuvosos; Distribuição de valores extremos; Dry spells; Generalized extreme value distribution; Modelos; Number of rainy days. |
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Thesagro: |
Seca. |
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Thesaurus Nal: |
Drought; Models. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02169naa a2200277 a 4500
001 1958952
005 2020-01-08
008 2013 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1016/j.atmosres.2013.04.003$2DOI
100 1 $aCARVALHO, J. R. P. de
245 $aEstimation of dry spells in three Brazilian regions - Analysis of extremes.
260 $c2013
520 $aThe aim of this study was to model the occurrence of extreme dry spells in the Midwest, Southeast and Southern regions of Brazil and estimate the return period of the phenomenon indicating the time when the occurrence is more severe. The generalized extreme value distribution was the best fit for a series of maximum dry spell number and the parameters estimated by the maximum likelihood method. The data series adherence to the probability distribution was verified by the Kolmogorov?Smirnov test and the percentile?percentile charts. The positive trend of dry spells was verified by the Mann?Kendall test and non-stationarity rejected by Dickey?Fuller and augmented Dickey?Fuller tests. The irregular distribution of rainfall in the growing season for the Midwest region has increased the number of dry spells. The increase of rainy days in the Southeast and the South resulted in a decrease of dry spells in these regions. Regarding the return period of one year, dry spells occurred from 5 to 25 days in the Midwest region meaning a loss of productivity for Brazilian agriculture if it happened between the flowering and grain filling phases, making it, therefore the region with the largest agricultural risk. When the intensity of the dry spells was analyzed for different return periods, the Southern region was the most vulnerable.
650 $aDrought
650 $aModels
650 $aSeca
653 $aDias chuvosos
653 $aDistribuição de valores extremos
653 $aDry spells
653 $aGeneralized extreme value distribution
653 $aModelos
653 $aNumber of rainy days
700 1 $aASSAD, E. D.
700 1 $aEVANGELISTA, S. R. M.
700 1 $aPINTO, H. da S.
773 $tAtmospheric Research, Amsterdam$gv. 132-133, p. 12-21, 2013.
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