Faculdade de Meteorologia - FAMET/IG
URI Permanente desta comunidadehttps://repositorio.ufpa.br/handle/2011/2798
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Navegando Faculdade de Meteorologia - FAMET/IG por Autor "BOTELHO, Marcel do Nascimento"
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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) Simulation of soybean growth and yield under northeastern Amazon climatic conditions(2011-06) SOUZA, Paulo Jorge de Oliveira Ponte de; FARIAS, José Renato Bouças; ABREU, José Paulo Mourão de Melo e; RIBEIRO, Aristides; ROCHA, Edson José Paulino da; BOTELHO, Marcel do Nascimento; SOUSA, Adriano Marlisom Leão deThe objective of this work was to parameterize, calibrate, and validate a new version of the soybean growth and yield model developed by Sinclair, under natural field conditions in northeastern Amazon. The meteorological data and the values of soybean growth and leaf area were obtained from an agrometeorological experiment carried out in Paragominas, PA, Brazil, from 2006 to 2009. The climatic conditions during the experiment were very distinct, with a slight reduction in rainfall in 2007, due to the El Niño phenomenon. There was a reduction in the leaf area index (LAI) and in biomass production during this year, which was reproduced by the model. The simulation of the LAI had root mean square error (RMSE) of 0.55 to 0.82 m2 m-2, from 2006 to 2009. The simulation of soybean yield for independent data showed a RMSE of 198 kg ha‑1, i.e., an overestimation of 3%. The model was calibrated and validated for Amazonian climatic conditions, and can contribute positively to the improvement of the simulations of the impacts of land use change in the Amazon region. The modified version of the Sinclair model is able to adequately simulate leaf area formation, total biomass, and soybean yield, under northeastern Amazon climatic conditions.