Navegando por Autor "NUNES, Hildo Giuseppe Garcia Caldas"
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Item Acesso aberto (Open Access) Regime térmico e hídrico do solo para área de floresta tropical em anos de El Niño e La Niña, Caxiuanã-PA: estudo de caso(2011-09) SANTOS, Sergio Rodrigo Quadros dos; SILVA, Rommel Benicio Costa da; BARRETO, Priscilla Nascimento; NUNES, Hildo Giuseppe Garcia Caldas; RODRIGUES, Ronaldo da Silva; CAMPOS, Thamiris Luisa de Oliveira BradãoThe thermal and hydrologic regime to soil if behave differently in years of occurrence of El Niño, La Niña and that non-occurrence about both (El Niño and La Niña). To study these behaviors, we used data of the hourly total and monthly of rainfall, average hourly and monthly data of soil temperature at depths of 2 cm and 10 cm and soil moisture at depths of 5cm and 20cm, for years the events searched. The results show that the year was about the influence of El Niño had higher temperature and lower values of soil moisture when compared with the year that was on the influence of La Niña. On the other hand the years that there is no occurrence of the phenomena El Niño and La Niña, showed values of soil temperature (moisture) higher (smaller) than the La Niña year, but smaller (higher) than the year of El Niño.Item Acesso aberto (Open Access) Simulation of flow in the Capim River (PA) using the SWAT Model(Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro, 2019-01) NUNES, Hildo Giuseppe Garcia Caldas; SOUSA, Adriano Marlisom Leão de; SANTOS, Joyse Tatiane Souza dosFlow in the Capim River watershed, located in the state of Pará, Brazil, was estimated using the Soil and Water Assessment Tool (SWAT) model in order to determine its use efficiency. The meteorological data (from 2000 to 2010) were collected from an automatic station located in the municipality of Paragominas. The pluviometric and fluviometric data are available at the National Water Agency (ANA) website. Overall results show Efficiency Coefficient (Eff) values of 0.65 (for sub-basin 5) and 0.87 for the entire investigated period. The results also show a reduction in Eff estimation error, which started from over-estimation of 219.18% and declined to underestimation of 18% (in sub-basin 5). In summary, validation of the SWAT model was successful after adjusting the sensors during the calibration phase. Thereby, this model can be used in other studies evaluating river basins.