950 resultados para submarine pipeline


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The present work aimed at characterizing geological features that identify areas with high ruptibility (fracturing) in the Osvat/Osplan pipeline in São Sebastião, São Paulo. The analysis of ruptile geological structures (lines of strikes and structural lineaments) through the use of orbital remote sensing was used as systematic mapping. The analysis of these features enables the inference of factors, such as permeability, infiltration and degree of shear in the region, factors which influence the processes of erosion and landslides in the area. On the map of structural lineaments, points of lineaments intersection from different directions were analyzed, followed by the counting of the frequency of these items per unit area, allowing the statistical modeling of spatial distribution, generating the map of density of structural lineament intersections, which allows determining areas with the highest percolation of fluid in the rock structure. However, on the map of lines of strikes, a space analysis was conducted to identify the two directions with higher frequency of lines of strikes in order to establish the maximums 1 and 2 and to identify the areas of abrupt changes of direction of these strike lines. In such areas where abrupt changes of directions of maximum lines of strikes occur, consequently there will be intense percolation of fluids, responsible for higher alterability of the rock/soil complex, facilitating the installation of erosion processes and landslides, increasing the area instability and consequently the vulnerability of the pipeline.

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Oceanic disposal systems of domestic sewage, or submarine sewage outfalls, have been historically used around the world as a solution for urban effluents, in special due to economic aspects. However, release into the ocean, in shallow or deep waters, may induce a set of negative environmental impacts, as eutrophication, toxic algal blooms, pathogenic microorganisms introduction and contamination by chemical substances which are capable of causing toxic effects to the biota and bioaccumulation. Thus, the release of untreated sewage into the sea does not constitute an adequate environmental practice; then, urban effluents should be treated in order to remove nutrients, contaminants and pathogenic organisms and avoid environmental degradation.

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In this paper we shed light over the problem of landslide automatic recognition using supervised classification, and we also introduced the OPF classifier in this context. We employed two images acquired from Geoeye-MS satellite at March-2010 in the northwest (high steep areas) and north sides (pipeline area) covering the area of Duque de Caxias city, Rio de Janeiro State, Brazil. The landslide recognition rate has been assessed through a cross-validation with 10 runnings. In regard to the classifiers, we have used OPF against SVM with Radial Basis Function for kernel mapping and a Bayesian classifier. We can conclude that OPF, Bayes and SVM achieved high recognition rates, being OPF the fastest approach. © 2012 IEEE.

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Pós-graduação em Ciências Biológicas (Biologia Celular e Molecular) - IBRC

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Pós-graduação em Engenharia Mecânica - FEB

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Includes bibliography

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Geociências e Meio Ambiente - IGCE