RESUMOQuantificar a evapotranspiração é de grande importância no gerenciamento dos recursos hídricos, modelagem hidrológica e meteorológica e também no manejo hídrico sustentável de culturas irrigadas. Por isso, este trabalho teve por objetivo estimar a evapotranspiração de referência (ET 0 ) diária, para o município de Formiga -MG, utilizando o método padrão de Penman-Monteith FAO e outros três métodos empíricos. A estimativa da evapotranspiração de referência (ET 0 ) diária foi realizada a partir de dados disponibilizados pelo INMET, coletados por estação meteorológica automática, entre os anos de 2007 e 2014. Além disso, foram ajustadas as constantes empíricas dos métodos de Hargreaves, Makkink e Camargo, de forma que estas se adequassem às condições locais. Para a análise do desempenho dos métodos, foram considerados os índices de confiança (c), de concordância (d), coeficientes de correlação (r) e determinação (R 2 ); erro absoluto médio (EAM) e raiz quadrada do erro quadrado médio (RQEM). Verificou-se que o método de Makkink, após ajuste, foi o que obteve melhores estimativas para as condições de Formiga, MG.Palavras-chave: avaliação de modelos, elementos meteorológicos, gerenciamento de recursos hídricos. ESTIMATE OF DAILY REFERENCE EVAPOTRANSPIRATION AT FORMIGA, MG, BRAZIL ABSTRACTThe evapotranspiration quantification has a great importance on water resources management, hydrological and meteorological modeling and on sustainable water management of irrigated crops. Therefore, this paper aims to estimate the daily reference evapotranspiration (ET 0 ), in Formiga, MG, Brazil, using the Penman-Monteith´s Method under FAO standards and other three empirical methods. The daily reference evapotranspiration (ET 0 ) estimation was carried out from data provided by INMET, collected by an automatic weather station, between the years 2007 and 2014. In addition, the empirical constants of Hargreaves, Makkink and Camargo Methods were fit, to represent better the local conditions. For method´s performance analysis, were considered: the reliability index (c), concordance index (d), correlation (r) and determination coefficients (R 2 ); mean absolute error (MAE) and square root of the mean square *
The large hydroelectric potential of Brazilian river basins is being progressively exploited, and today, this type of electricity generation represents 86% of the Brazilian electric power matrix. The hydroelectric expansion planning in Brazil is done through a serie of studies and the Hydropower Inventory Studies is one of the earliest stages of this process. So, that is the moment when every option for the division of the water head in the river basins should be studied in order to select the one that gives the best energetic, economic, social and environmental balance, according to the Hydroelectric River Basin Inventory's Manual. To assist Hydroelectric Inventory Studies a computerized decision support system, called SINV, has been developed and it integrates data management with simulation/optimization and plotting tools to aid in energetic and socioenvironmental comparisons of the different head division schemes considering a multi-objective criterion. This paper presents a river basin inventory study case using the SINV package.
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