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Registro Completo |
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
09/07/2018 |
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Data da última atualização: |
09/07/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
BACK, A. J.; MIGUEL, L. P. |
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Título: |
Analysis of the stochastic model of the Markov chain on daily rainfall occurrence in the state of Santa Catarina, Brazil. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Management of Environmental Quality, West Yorkshire, v. 28, n. 1, p. 2-16, 2017. |
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Idioma: |
Inglês |
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Conteúdo: |
The purpose of this paper is to evaluate the seasonal and spatial variations in the statistical descriptors of the Markov chain model as well as the expected values of the length of dry and wet days and to estimate the probability of dry and rainy sequences in the state of Santa Catarina.
Design/methodology/approach ? Daily rainfall data from 1970 to 2013 of five rainfall stations in the state of Santa Catarina were used. To model the sequence of dry and wet days, the first order of the Markov chain was used. The statistical descriptors of the Markov model were evaluated, as well as the expected values of the length of dry and wet days and the number of dry and rainy days for each month. Along with geometric distribution, the probability of occurrence of sequences of dry and rainy days was determined. The adherence of the data to geometric distribution was evaluated using the Kolmogorov-Smirnov test.
Findings ? The results showed that there is a seasonal and spatial variation in Markov model descriptors and also in the duration of the dry and rainy periods. These variations may be related to the mechanisms responsible for the formation and distribution of rainfall in the state, such as the air masses and relief. The Lages station, located in the Plateau of Santa Catarina, had the highest P00 values, reflecting more stable conditions of the atmosphere. In autumn and winter, no marked differences were found between the coastal
stations and west of the state. The geometric distribution was adequate for estimating the probability of dry and rainy days MenosThe purpose of this paper is to evaluate the seasonal and spatial variations in the statistical descriptors of the Markov chain model as well as the expected values of the length of dry and wet days and to estimate the probability of dry and rainy sequences in the state of Santa Catarina.
Design/methodology/approach ? Daily rainfall data from 1970 to 2013 of five rainfall stations in the state of Santa Catarina were used. To model the sequence of dry and wet days, the first order of the Markov chain was used. The statistical descriptors of the Markov model were evaluated, as well as the expected values of the length of dry and wet days and the number of dry and rainy days for each month. Along with geometric distribution, the probability of occurrence of sequences of dry and rainy days was determined. The adherence of the data to geometric distribution was evaluated using the Kolmogorov-Smirnov test.
Findings ? The results showed that there is a seasonal and spatial variation in Markov model descriptors and also in the duration of the dry and rainy periods. These variations may be related to the mechanisms responsible for the formation and distribution of rainfall in the state, such as the air masses and relief. The Lages station, located in the Plateau of Santa Catarina, had the highest P00 values, reflecting more stable conditions of the atmosphere. In autumn and winter, no marked differences were found between the coastal
stations and west of the state. The geometric dist... Mostrar Tudo |
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Palavras-Chave: |
Climatology; Daily precipitation; Daily rainfall occurrence; Markov chain; Probability; Santa catarina. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02243naa a2200205 a 4500
001 1127486
005 2018-07-09
008 2017 bl uuuu u00u1 u #d
100 1 $aBACK, A. J.
245 $aAnalysis of the stochastic model of the Markov chain on daily rainfall occurrence in the state of Santa Catarina, Brazil.$h[electronic resource]
260 $c2017
520 $aThe purpose of this paper is to evaluate the seasonal and spatial variations in the statistical descriptors of the Markov chain model as well as the expected values of the length of dry and wet days and to estimate the probability of dry and rainy sequences in the state of Santa Catarina. Design/methodology/approach ? Daily rainfall data from 1970 to 2013 of five rainfall stations in the state of Santa Catarina were used. To model the sequence of dry and wet days, the first order of the Markov chain was used. The statistical descriptors of the Markov model were evaluated, as well as the expected values of the length of dry and wet days and the number of dry and rainy days for each month. Along with geometric distribution, the probability of occurrence of sequences of dry and rainy days was determined. The adherence of the data to geometric distribution was evaluated using the Kolmogorov-Smirnov test. Findings ? The results showed that there is a seasonal and spatial variation in Markov model descriptors and also in the duration of the dry and rainy periods. These variations may be related to the mechanisms responsible for the formation and distribution of rainfall in the state, such as the air masses and relief. The Lages station, located in the Plateau of Santa Catarina, had the highest P00 values, reflecting more stable conditions of the atmosphere. In autumn and winter, no marked differences were found between the coastal stations and west of the state. The geometric distribution was adequate for estimating the probability of dry and rainy days
653 $aClimatology
653 $aDaily precipitation
653 $aDaily rainfall occurrence
653 $aMarkov chain
653 $aProbability
653 $aSanta catarina
700 1 $aMIGUEL, L. P.
773 $tManagement of Environmental Quality, West Yorkshire$gv. 28, n. 1, p. 2-16, 2017.
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Epagri-Sede (Epagri-Sede) |
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 | Acesso ao texto completo restrito à biblioteca da Epagri-São Joaquim. Para informações adicionais entre em contato com eesj@epagri.rct-sc.br. |
Registro Completo
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Biblioteca(s): |
Epagri-Chapecó; Epagri-São Joaquim; Epagri-Sede. |
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Data corrente: |
26/10/2000 |
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Data da última atualização: |
12/06/2007 |
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Autoria: |
ARAÚJO, L.A.; HESSMANN, H.A.; DALPONTE, A.; PELEGRIN, L.C.; LONGHI, R.F. |
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Título: |
Melhoria dos sistemas produtivos da agricultura familiar do Litoral Sul Catarinense. |
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Ano de publicação: |
2000 |
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Fonte/Imprenta: |
Florianópolis: Epagri, 2000. |
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Páginas: |
39p. |
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Série: |
(Epagri. Documentos, 205) |
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Idioma: |
Português |
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Conteúdo: |
Gestao agricola. Referencial teorico: o modelo de difusao. As evidencias do Litoral Sul Catarinense. Referencias tecnicas e economicas de propriedades agricolas do Litoral Sul Catarinense. Os indicadores tecnicos e economicos. Sistema de producao cereais e outros graos: arroz irrigado. A cultura do arroz. Sistema de producao bovino de leite. Atividade bovino de leite. Sistema de producao fumo estufa. A atividade fumo estufa. Sistema de producao mandioca. Atividade mandioca. de Importancia do estudo e possibilidades de aplicacao. |
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Palavras-Chave: |
AGRICULTURA FAMILIAR; ARROZ IRRIGADO; FUMO; GADO LEITEIRO; GESTAO AGRICOLA; LITORAL SUL; MANDIOCA; SANTA CATAINA; Santa Catarina; SC; SISTEMA DE PRODUCAO. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01352nam a2200313 a 4500
001 1101727
005 2007-06-12
008 2000 bl uuuu u0uu1 u #d
100 1 $aARAÚJO, L.A.
245 $aMelhoria dos sistemas produtivos da agricultura familiar do Litoral Sul Catarinense.
260 $aFlorianópolis: Epagri$c2000
300 $a39p.
490 $a(Epagri. Documentos, 205)
520 $aGestao agricola. Referencial teorico: o modelo de difusao. As evidencias do Litoral Sul Catarinense. Referencias tecnicas e economicas de propriedades agricolas do Litoral Sul Catarinense. Os indicadores tecnicos e economicos. Sistema de producao cereais e outros graos: arroz irrigado. A cultura do arroz. Sistema de producao bovino de leite. Atividade bovino de leite. Sistema de producao fumo estufa. A atividade fumo estufa. Sistema de producao mandioca. Atividade mandioca. de Importancia do estudo e possibilidades de aplicacao.
653 $aAGRICULTURA FAMILIAR
653 $aARROZ IRRIGADO
653 $aFUMO
653 $aGADO LEITEIRO
653 $aGESTAO AGRICOLA
653 $aLITORAL SUL
653 $aMANDIOCA
653 $aSANTA CATAINA
653 $aSanta Catarina
653 $aSC
653 $aSISTEMA DE PRODUCAO
700 1 $aHESSMANN, H.A.
700 1 $aDALPONTE, A.
700 1 $aPELEGRIN, L.C.
700 1 $aLONGHI, R.F.
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