Dissertação PPG.EGPSA
URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/3
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Item Modelo de curva de transbordamento através de imagens de satélite(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022-12-14) ALVES, Gustavo Augusto Lourenço; LIMA, Alexandra Amaro de; http://lattes.cnpq.br/6915958689972413The city of Manaus has numerous waterways in its urban perimeter, and, despite this, there is a shortage of measures aimed at protecting water resources that has generated occupations very close to the riverbeds. This work aimed to map the areas liable to flooding around the Franceses Stream, using hydrological modeling and geotechnologies to detect flood spots. The methodology applied involved obtaining topographic and thematic information such as morphology, geographical location, elevations, extent, area, level curves (water dividers) of the basin, obtained through georeferenced satellite images in a GIS (Geographic Information System) environment. In addition, monthly satellite precipitation via the CHIRPS product was used for the calculations. The physical characteristics of the basin were determined using equations employed in hydrology, obtaining the following characteristics: compactness coefficient Kc = 5.71; form factor Kf = 0.36; circularity index Ic = 0.03; drainage density Dd = 0.94km-1. It was concluded that the precipitation estimated by CHIRPS is efficient because it has a larger coverage, and that knowing the characteristics of watersheds in urban environments is of great importance to subsidize intervention measures and planning policies that ensure the protection of water resources and minimize inconvenience to the population. It was also found that the use of GIS is an important tool for analyzing information in hydrological studies, and that it needs to become an increasingly applied tool in urban management, so that the knowledge obtained can be used to obtain better environmental and social conditions.Item Aplicação do modelo Autoregressivo não linear com entradas exógenas para previsão do nível do rio no Amazonas(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022-07-05) LOPES, Gisele de Freitas; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798River level variation is a constant problem, the prediction of river level variation brings a possibility of planning in all areas of action, which provides for a reduction in the impact caused by floods and ebbs. The present work is justified by three basic lines that involve the problem of the theme, which are the use of Artificial Intelligence, the problem of floods in the Amazon and the issue of technology in favor of decision making. The environmental impacts caused by economic and social factors are problems portrayed in scenarios such as floods and ebbs of rivers, bringing up situations such as an increase in diseases, reduction of agricultural production in places that depend on precise geological control, in addition to the increase in erosive processes in risky locations. Thus, the use of AI to predict the river level, which consequently can minimize the problems arising from floods that cause environmental impact, is highly possible, because when it is known in advance that an event is about to happen, decisions can be made that impacts are smaller. This work models and applies NARX to predict the river level in the Amazon with variables that are easy to access and implement through the MATLAB software, in order to contribute with a forecast model capable of predicting a possible flood from the river level. For the application of the methodology, the input variables of the National Institute of Meteorology were used, and the output variable of the Port of Manaus website, Rio Negro station of the port of Manaus, 01/31/2020 to 06/30 /2021. The performance of the models was compared with 5, 10, 15, 20 and 25 steps forward, considering months as the forecast horizon. The NARX model obtained a better response in the predictions, among which the 15-step horizon stood out.