Bacharelado em Engenharia de Pesca (UAST)
URI permanente desta comunidadehttps://arandu.ufrpe.br/handle/123456789/2937
Siglas das Coleções:
APP - Artigo Publicado em Periódico
TAE - Trabalho Apresentado em Evento
TCC - Trabalho de Conclusão de Curso
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2 resultados
Resultados da Pesquisa
Item Uso do sensoriamento remoto para o monitoramento hídrico da Barragem de Serrinha II no Semiárido Pernambucano(2019) Carvalho, Wilson dos Anjos; Bezerra, Alan Cezar; http://lattes.cnpq.br/3690303625468223; http://lattes.cnpq.br/4645802692572927The semiarid region is a place that suffers great water shortages, with evaporation rates high and irregular precipitation during the year. This causes a water deficit for the area. This shows a large number of reservoirs built for water storage during the dry season. With all this problematic that studies on the evaporative rates are of great importance for better management of the water resources. The objective of this work is to estimate the water loss using remote sensing between the years of 2012 and 2018 in the Serrinha II reservoir. The study area is located in the Pajeú River basin, with a capacity of 311.000.000 m3 . To obtain orbital data, it used the United States Geological Survey (USGS) platform. These data were geoprocessed in the GIS environment using Qgis 2.18 Las Palmas software. The meteorological information was acquired in the station of Floresta and being worked in Excel. Evaluating the orbital data compared to the evaporative method of Kohler and Parmale (1967), which was the model that stood out statistically. He verified that in the period of 2012 the season of soft drought the reservoir still has a very significant concentration due to the fact of the drought is in the beginning therefore a great concentration in the reservoir. In the year 2013 to 2017 there is a significant reduction from 1.520.100 to only 313.650 ha. In this way it observes that the prolonged drought period significantly decreases the quantity of the water body. Raising the weir area of Serrinha II for the year 2018, with approximately 684.450 ha. Generating a 29,58% increase in the useful volume of the reservoir in the period of 2012. Indices were very high for the region, since it is the semiarid, directly influencing the reduction of the water body. Thus the use of remote sensing is efficient to make a study over time, analyzing periods of rain and drought that have greatly influenced the reservoir.Item Estimativa do balanço hídrico da bacia hidrográfica do Rio Pajeú utilizando o modelo Soil and Water Assessment Tool (SWAT)(2019) Carvalho, Wilson dos Anjos; Farias, Carolyne Wanessa Lins de Andrade; http://lattes.cnpq.br/3776345236329653; http://lattes.cnpq.br/4645802692572927Human interference with the environment changes the characteristics of the ecosystem as well as processes related to water resources. These changes have been studied through tools such as hydrological models. One of the models that has been applied in several countries is the Soil and Water Assessment Tool (SWAT). In this context, the objective of this study was to estimate the water balance for the Pajeú river basin through the SWAT hydrosedimental model, aiming to find the hydrological processes for the period from 2008 to 2017. In order to make the estimation of the water balance, the SWAT model requires some input data, they are: Digital Elevation Model (MDE), map of land use and occupation, types of soil, meteorological and pluviometric data. After insertion of all input data and hydrological simulation, the model generated 25 sub-basins and 191 Hydrological Response Units (HRUs). The results of average values of the hydrological processes for the study period were: surface runoff of 110,12 mm, precipitation of 477,6 mm, actual evapotranspiration of 150,6 mm, potential evapotranspiration of 1.667,8 mm, and percolation 213,9 mm. The rise of the shallow aquifer resulted in 33,31 mm and the recharge of the deep aquifer in 11,69 mm. When comparing the observed and simulated flows to the basin, it was observed that the SWAT simulated flow peaks were larger than the observed peaks. Likewise, differences were found between the base flow estimates between the model and the observed data. During the dry season, the model simulated a large part of the flow reaching zero, this fact is related to the characteristic of intermittent rivers. The coefficient of determination (R²) was 0,36, which shows a very weak relation between observed and simulated data. This fact indicates that the SWAT model requires calibration and validation to be used in the Pajeú River basin in future studies, as for example, for prediction studies of the impacts of future climate changes on the basin water balance.