Navegando por Assunto "Flow meters"

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Acesso aberto (Open Access)
Análise do comportamento da precipitação e da vazão em bacias hidrográficas Amazônicas
(Universidade Federal do Pará, 2016-03-14) HACHEM, Bruno Penna; FERNANDES, Lindemberg Lima; http://lattes.cnpq.br/4641468846318922
The aim of this study was to analyze the behavior of precipitation and flow in two river regions of the state of Pará, where Northern Corridor and Coast Northeast Atlantic. Both have the same rainfall and physical properties of the bowls are similar, being different only in regard to level and vegetable preservation area. For this study, we used 7 gauged stations and 7 rainfall in the Northern Corridor and 6 fluviometric 6 and rainfall in Costa Northeast Atlantic. After collecting the data in HIDROWEB, they were organized in Microsoft Excel spreadsheets software for application of Mann Kendall and Spearman tests, which stated that there is no trend in the series analyzed (α=5%). Was detected that the density of fluviometric and rainfall stations is low , according to the thresholds established by WMO. The Pearson correlation coefficients showed up "strong" between precipitation and flow of the areas studied, which also suffer influence of climatic phenomena (El Niño and La Niña). It was possible to consider that in the most preserved region, the time lag between the maximum rainfall and the maximum flow rate averaged two months, while the region with greater human action this time was an average of 1 month.
Desconhecido
Modelo vazão-velocidade para avaliação de potencial hidrocinético
(Universidade Federal do Pará, 2018-05-25) CRUZ, Josias da Silva; BLANCO, Claudio José Cavalcante; http://lattes.cnpq.br/8319326553139808
The Brazilian hydrological information network provides daily flow data; however, daily velocity information is not available in historical series. The inventory of river velocities is important for many applications, and one of them is the study of hydrokinetic potential, including downstream of hydroelectric plants. Therefore, the work proposes a model called Flow-Velocity that determines the average daily velocity, the geometric form and the distribution of the logarithmic velocity profile of the cross section of rivers from daily flow data. The model was initially applied in a small river basin with flow data and the validation was performed using the mean square error (RMSE), the relative mean square error (RRMSE), the standard deviation of observation (RSR) and the percentage of bias PBIAS. Subsequently, the model was applied to the river basins of the Amazonas, São Francisco and Paraná rivers (Brazil's largest basins), using the highest and lowest flows in the historical series. The highest and lowest average speed found in the Amazon River was 2.27 ms-1 and 0.735 ms-1 in the Óbidos cross-section for a flow of 266 897 m³s-1 and 72 480 m³-1, respectively. The main contributors to the Amazon River, with the exception of the Trombetas, Madeira and Xingu rivers, present average daily speeds below 2 ms-1 for the flood period, but in the dry season the average daily speeds of all are below 0.5 ms-1. The São Francisco river, in the transversal sections studied along its length, presents velocities between 3.09 ms-1 to 1.68 ms-1 for the period of flood and in the period of drought the speeds are between 0,44 ms-1 to 0,12 ms-1. In the Paraná River, velocities are between 2.17 ms-1 to 1.50 ms-1 and 0,59 ms-1 to 0,12 ms-1 for the greater and smaller flow, in due order. It was verified that the Amazon river has hydrokinetic potential that can be explored all year round. In the São Francisco basin, it is only in the period of higher flows that there is potential for the installation of hydrokinetic turbines, similar to the Paraná river basin. Of course, at points in rivers where there are hydroelectric plants, this assessment should change due to the dispatch of power plants.