Navegando por Assunto "Modelo de Solow"
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Item Acesso aberto (Open Access) Evapotranspiration from Remote Sensing to Improve the Swat Model in Eastern Amazonia(Universidade Federal do Pará, 2015-12) SOUSA, Adriano Marlisom Leão de; VITORINO, Maria Isabel; CASTRO, Nilza Maria dos Reis; BOTELHO, Marcel do Nascimento; SOUZA, Paulo Jorge de Oliveira Ponte deIn this study, we estimated the evapotranspiration from orbital images - MODIS (Moderate Resolution Imaging Spectroradiometer) for assimilation in the hydrological modeling of the SWAT (Soil Water Assessment Tools) model. The data used include the period between October 2003 and December 2006 of the sub-basin of the Lajeado River, located in the Tocantins-Araguaia River basin in Tocantins state. Overall, the results of the use of heat flows estimated by remote sensors in the SWAT model can be considered satisfactory. The values of the COE (coefficient of efficiency of Nash-Sutcliffe) ranged from -0.40 to 0.91 in the comparison with the daily flow data and from 0.17 to 0.77 with the monthly flow data, with the assimilation of evapotranspiration from orbital images. These results indicate benefit to the model adjustment due to improvement in the data assimilated of approximately 0.91 in the COE on daily scale and 0.60 in the CEO on monthly scale.Item Acesso aberto (Open Access) Evolução das disparidades da extração vegetal e da silvicultura na Amazônia Legal: uma aplicação da cadeia de Markov(2012-09) SANTOS, Ricardo Bruno Nascimento dos; BRAGA, Marcelo JoséThis paper analyzes the convergence of the municipalities vegetable productivity in the Legal Amazon region between 1996 and 2006. The convergence analyses use the Markov transition matrix methodology (First Order Stationary Markov Process). The results show that existence of 13 classes of vegetable productivity convergence. In the long run, the hypothesis of absolute convergence is not maintained, whereas 68.23% of the municipalities are in a class lower than the municipal average, 33.54% in an intermediate class above average and 13.41% in a class higher than average.