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Distribuicao de frequencia e temporal de chuvas intensas
Distribution of frequency and intense rainfall. The generalized extreme value distribution (GEV) has had great acceptance for discretion of the maximum natural events. Previous studies show that GEV distribution fits values closer to reality when there is need for extrapolation of sampling data for...
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Published in: | Acta scientiarum. Agronomy 2011-07, Vol.33 (3), p.401 |
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description | Distribution of frequency and intense rainfall. The generalized extreme value distribution (GEV) has had great acceptance for discretion of the maximum natural events. Previous studies show that GEV distribution fits values closer to reality when there is need for extrapolation of sampling data for longer periods of returns. In order to contribute to the planning of activities that are influenced by the intensity of precipitated water, we adjusted a model of probability distribution of heavy rain through GEV, using LH moments for estimating its parameters and statistical test proposed by Wang (1998) for checking the quality of the adjustments developed in the Matlab. We analyzed historical time series of maximum rainfall for different durations obtained from rain gauges in the city of Cascavel, Parana State. Moreover, these series were fitted by Gumbel distribution for purposes of comparison with the GEV. This study shows that the Gumbel distribution underestimates the GEV distribution for large return periods. Keywords: heavy rain, GEV distribution, LH moments. A distribuicao generalizada de valores extremos (GEV) tem tido grande aceitacao para discricao dos eventos maximos naturais. Estudos sobre o assunto mostram que a distribuicao GEV ajusta valores mais proximos a realidade quando ha necessidade de extrapolacao dos dados amostrais para grandes periodos de retornos e com o intuito de contribuir para o planejamento de atividades que sao influenciadas pela intensidade de agua precipitada foi ajustado um modelo de distribuicao de probabilidade de chuva intensa por meio da GEV, utilizando momentos LH para estimar seus parametros e o teste estatistico proposto por Wang (1998) para verificacao da qualidade dos ajustes desenvolvidos no ambiente Matlab. Analisaram-se series historicas de precipitacao maximas para diferentes duracoes obtidas de pluviografos no municipio de Cascavel, Estado do Parana. Alem disso, as referidas series foram ajustadas pela distribuicao Gumbel para efeito de comparacao com a GEV. Este trabalho mostra que a distribuicao Gumbel subestima a distribuicao GEV para grandes periodos de retorno. Palavras-chave: chuvas intensas, distribuicao GEV, momentos LH. |
doi_str_mv | 10.4025/actasciagron.v33i3.6021 |
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The generalized extreme value distribution (GEV) has had great acceptance for discretion of the maximum natural events. Previous studies show that GEV distribution fits values closer to reality when there is need for extrapolation of sampling data for longer periods of returns. In order to contribute to the planning of activities that are influenced by the intensity of precipitated water, we adjusted a model of probability distribution of heavy rain through GEV, using LH moments for estimating its parameters and statistical test proposed by Wang (1998) for checking the quality of the adjustments developed in the Matlab. We analyzed historical time series of maximum rainfall for different durations obtained from rain gauges in the city of Cascavel, Parana State. Moreover, these series were fitted by Gumbel distribution for purposes of comparison with the GEV. This study shows that the Gumbel distribution underestimates the GEV distribution for large return periods. Keywords: heavy rain, GEV distribution, LH moments. A distribuicao generalizada de valores extremos (GEV) tem tido grande aceitacao para discricao dos eventos maximos naturais. Estudos sobre o assunto mostram que a distribuicao GEV ajusta valores mais proximos a realidade quando ha necessidade de extrapolacao dos dados amostrais para grandes periodos de retornos e com o intuito de contribuir para o planejamento de atividades que sao influenciadas pela intensidade de agua precipitada foi ajustado um modelo de distribuicao de probabilidade de chuva intensa por meio da GEV, utilizando momentos LH para estimar seus parametros e o teste estatistico proposto por Wang (1998) para verificacao da qualidade dos ajustes desenvolvidos no ambiente Matlab. Analisaram-se series historicas de precipitacao maximas para diferentes duracoes obtidas de pluviografos no municipio de Cascavel, Estado do Parana. Alem disso, as referidas series foram ajustadas pela distribuicao Gumbel para efeito de comparacao com a GEV. Este trabalho mostra que a distribuicao Gumbel subestima a distribuicao GEV para grandes periodos de retorno. Palavras-chave: chuvas intensas, distribuicao GEV, momentos LH.</description><identifier>ISSN: 1679-9275</identifier><identifier>DOI: 10.4025/actasciagron.v33i3.6021</identifier><language>spa</language><publisher>Universidade Estadual de Maringa</publisher><ispartof>Acta scientiarum. 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Previous studies show that GEV distribution fits values closer to reality when there is need for extrapolation of sampling data for longer periods of returns. In order to contribute to the planning of activities that are influenced by the intensity of precipitated water, we adjusted a model of probability distribution of heavy rain through GEV, using LH moments for estimating its parameters and statistical test proposed by Wang (1998) for checking the quality of the adjustments developed in the Matlab. We analyzed historical time series of maximum rainfall for different durations obtained from rain gauges in the city of Cascavel, Parana State. Moreover, these series were fitted by Gumbel distribution for purposes of comparison with the GEV. This study shows that the Gumbel distribution underestimates the GEV distribution for large return periods. Keywords: heavy rain, GEV distribution, LH moments. A distribuicao generalizada de valores extremos (GEV) tem tido grande aceitacao para discricao dos eventos maximos naturais. Estudos sobre o assunto mostram que a distribuicao GEV ajusta valores mais proximos a realidade quando ha necessidade de extrapolacao dos dados amostrais para grandes periodos de retornos e com o intuito de contribuir para o planejamento de atividades que sao influenciadas pela intensidade de agua precipitada foi ajustado um modelo de distribuicao de probabilidade de chuva intensa por meio da GEV, utilizando momentos LH para estimar seus parametros e o teste estatistico proposto por Wang (1998) para verificacao da qualidade dos ajustes desenvolvidos no ambiente Matlab. Analisaram-se series historicas de precipitacao maximas para diferentes duracoes obtidas de pluviografos no municipio de Cascavel, Estado do Parana. Alem disso, as referidas series foram ajustadas pela distribuicao Gumbel para efeito de comparacao com a GEV. Este trabalho mostra que a distribuicao Gumbel subestima a distribuicao GEV para grandes periodos de retorno. 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Agronomy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Quadros, Luciana Espindula</au><au>de Queiroz, Manuel Moises Ferreira</au><au>Boas, Marcio Antonio Vilas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Distribuicao de frequencia e temporal de chuvas intensas</atitle><jtitle>Acta scientiarum. Agronomy</jtitle><date>2011-07-01</date><risdate>2011</risdate><volume>33</volume><issue>3</issue><spage>401</spage><pages>401-</pages><issn>1679-9275</issn><abstract>Distribution of frequency and intense rainfall. The generalized extreme value distribution (GEV) has had great acceptance for discretion of the maximum natural events. Previous studies show that GEV distribution fits values closer to reality when there is need for extrapolation of sampling data for longer periods of returns. In order to contribute to the planning of activities that are influenced by the intensity of precipitated water, we adjusted a model of probability distribution of heavy rain through GEV, using LH moments for estimating its parameters and statistical test proposed by Wang (1998) for checking the quality of the adjustments developed in the Matlab. We analyzed historical time series of maximum rainfall for different durations obtained from rain gauges in the city of Cascavel, Parana State. Moreover, these series were fitted by Gumbel distribution for purposes of comparison with the GEV. This study shows that the Gumbel distribution underestimates the GEV distribution for large return periods. Keywords: heavy rain, GEV distribution, LH moments. A distribuicao generalizada de valores extremos (GEV) tem tido grande aceitacao para discricao dos eventos maximos naturais. Estudos sobre o assunto mostram que a distribuicao GEV ajusta valores mais proximos a realidade quando ha necessidade de extrapolacao dos dados amostrais para grandes periodos de retornos e com o intuito de contribuir para o planejamento de atividades que sao influenciadas pela intensidade de agua precipitada foi ajustado um modelo de distribuicao de probabilidade de chuva intensa por meio da GEV, utilizando momentos LH para estimar seus parametros e o teste estatistico proposto por Wang (1998) para verificacao da qualidade dos ajustes desenvolvidos no ambiente Matlab. Analisaram-se series historicas de precipitacao maximas para diferentes duracoes obtidas de pluviografos no municipio de Cascavel, Estado do Parana. Alem disso, as referidas series foram ajustadas pela distribuicao Gumbel para efeito de comparacao com a GEV. Este trabalho mostra que a distribuicao Gumbel subestima a distribuicao GEV para grandes periodos de retorno. Palavras-chave: chuvas intensas, distribuicao GEV, momentos LH.</abstract><pub>Universidade Estadual de Maringa</pub><doi>10.4025/actasciagron.v33i3.6021</doi></addata></record> |
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title | Distribuicao de frequencia e temporal de chuvas intensas |
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