Estudo da Sazonalidade das Chuvas no Estado do Mato Grosso do Sul e Sua Distribuição Espaço-Temporal (Study of Seasonal and Space-Time Distribution Rains in Mato Grosso do Sul State)
DOI:
https://doi.org/10.26848/rbgf.v5i1.232761Keywords:
interpolação matemática, precipitação, hidrologiaAbstract
O estado do Mato Grosso do Sul se encontra em confluência com um dos principais sistemas atmosféricos da América do Sul e com mais de um tipo de regime pluviométrico. Portanto, obtendo-se relevância nos estudos que privilegiem a distribuição espaço-temporal das chuvas no estado. Com o objetivo de analisar a variação sazonal da precipitação pluvial no estado do Mato Grosso do Sul, realizou-se um estudo da variabilidade espacial e temporal das chuvas. Foram utilizadas médias mensais e anuais sazonais de precipitação das séries históricas de dados pluviométricos obtidos da Rede Hidrometeorológica Nacional, da Agência Nacional de Águas. A interpolação matemática utilizada foi o Topo to Raster. Para o tratamento estatístico calculou-se as médias temporais da precipitação para o período de 30 anos, necessárias para o cálculo do índice de anomalia de chuva, o qual serve para classificar períodos de anos secos ou úmidos de acordo com a média local. Como resultados são apresentados a distribuição espacial, temporal e sazonal das chuvas.
Palavras-chave: Pluviometria, espacialização de chuvas, precipitação pluviométrica.
Study of Seasonal and Space-Time Distribution Rains in Mato Grosso do Sul State
ABSTRACT
The Mato Grosso do Sul state is in confluence with a major weather systems in South America and more than one type of rainfall, thus obtaining important in studies that emphasize spatial and temporal distribution of rainfall in the state. Aiming to analyze the seasonal variation of rainfall in the Mato Grosso do Sul state, there was a study of spatial and temporal variability of rainfall. We used monthly mean seasonal and annual precipitation series of historical rainfall data obtained from the National Hydrometeorological Network of Brazil. The interpolation model used was the Top to Raster. The statistic used to calculate the average rainfall for the time period of 30 years, needed to calculate the rainfall anomaly index, which serves to classify periods of dry or wet years according to the local average. Results are presented as the spatial, temporal and seasonal rains.
Key-words: Pluviometry, Spatialization of rainfall, pluviometric precipitation.
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Copyright (c) 2012 Francisco Marcuzzo, Helen Camargos Costa
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