Programa de Pós-Graduação em Engenharia de Barragem e Gestão Ambiental - PEBGA/NDAE/Tucuruí
URI Permanente desta comunidadehttps://repositorio.ufpa.br/handle/2011/9395
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Navegando Programa de Pós-Graduação em Engenharia de Barragem e Gestão Ambiental - PEBGA/NDAE/Tucuruí por Assunto "Amazon"
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Item Acesso aberto (Open Access) Análise da influência do uso e ocupação da terra na concentração de sólidos em suspensão em reservatório hidrelétrico com o uso do sensoriamento remoto(Universidade Federal do Pará, 2022-07-09) SOUZA, Fabíola Esquerdo de; SOARES, Carlos Benedito Santana da Silva; http://lattes.cnpq.br/9153957633685323; ISHIHARA, Júnior Hiroyuki; http://lattes.cnpq.br/3498874642887006; https://orcid.org/0000-0002-0081-7913The use of remote sensing in reservoir sediment monitoring is important for temporal spac knowledge of sediment deposition in dam structures. In this context, this research was developed in the hydrographic basin that covers the Tucuruí HOU reservoir, in which suspended sediment concentration data from the M1 monitoring station located at 2 km upstream of the dam were acquired, and were integrated into the analyses to understand the relationship between the responses of satellite images and field measurements. Sediment analyses were performed with 14-year time series of MODIS images, composed of 8 days. Surface reflectance estimates were calculated using simplinear regression and coefficient of determination (R2). For the use and occupation of the land of the hydrographic basin, a temporal analysis of Landsat-5, Landsat-8 OLI/TIRS images was performed. Next, the land use and occupation were related to water quality analyses of stations upstream 1 (M1), Amount Repartimento (MR) and Montante Pacurui (MP). The results show that the calibration curve generated the linear regression equation with good fit for MI monitoring station, presenting efficiency in the data estimated by reflectance through this model. The analyses of land use and occupation show that over the years there was a reduction in forest formation and at the same time pasture growth occurred. In relation to water quality, the impacts caused by anthropic actions have negative influences. Thus, it is possible to observe the relevance of the use of remote sensing techniques, geoprocessing and geotechnologies, as instruments that help in the planning of land use and occupation, in the analysis of water quality and management of water resources in reservoir regions, since these technologies enable greater spatial scope of the analyses with lower costs.Item Acesso aberto (Open Access) Proposição metodológica para melhoria do monitoramento pluviométrico em regiões de barramento com escassez de postos(Universidade Federal do Pará, 2022-10-10) FERREIRA, Laysse Alves; ISHIHARA, Júnior Hiroyuki; http://lattes.cnpq.br/3498874642887006; https://orcid.org/0000-0002-0081-7913The Brazilian Amazon is considered the largest primary forest in the world, having great importance in the planet's biodiversity, as well as in the national economy, having large enterprises that use dams for their production process, such as hydroelectric dams and dams for mining. Despite its environmental and economic importance, the Legal Amazon has low density and spatiality for in loco measurement of rainfall. Precipitation data are the basis of hydrological studies and for the entire cycle of implementation, operation and decommissioning of dams, where knowledge of hydrological behavior enables actions to prevent extreme weather events, as well as better management and decision-making of water resources . Groups of stations that have similar hydrological behavior and minimal differences are called hydrologically homogeneous areas, making it possible to transfer data from these areas with adequate monitoring to areas that have insufficient stations. Regionalization allows this data transfer and the extraction of information about the spatial behavior of precipitation, commonly using clustering algorithms. Given this scenario, Ward's hierarchical grouping method was used in this study to identify hydrologically homogeneous groups and later regionalization through the Ordinary Kriging method. The historical series from 1986 -2015 (30 years) of rainfall data from 268 stations was used. The results showed 6 homogeneous zones with high precipitation variability among the groups found. Spatialization ratified the results of other studies that concluded that the legal Amazon has high rainfall variability, with regionalization being a tool to assist in the management of areas with a lack of data.