299 resultados para Malhas de Voronoi


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Um dos métodos clássicos da geofísica de exploração é o Método de Eletrorresistividade, estabelecido há um século pelos irmãos Schlumberger e desde então amplamente empregado em prospecção mineral, estudos ambientais e hidrogeologia e em pesquisa de fontes geotermais. Conceitualmente o método consiste de injeção de corrente elétrica na subsuperfície e de medida de diferença de potencial elétrico, resultante da interação da corrente com o meio. As localizações dessas fontes e receptores são determinadas pelo arranjo escolhido para o levantamento. Após o processamento, obtém-se pseudo-seções de resistividade aparente que indicam a distribuição de condutividade em subsuperfície. Devido à simplicidade dos fundamentos físicos de sua formulação, o método apresenta fácil implementação computacional quando comparado aos métodos eletromagnéticos de fonte controlada. Na literatura há inúmeros trabalhos de modelagem computacional, onde se calcula a resposta para problemas 2-D e 3-D. Nestes trabalhos, as pseudo-seções são obtidas a partir do cálculo do potencial elétrico total. Neste trabalho, apresentaremos a resposta da modelagem de eletroresistividade 2-D com o arranjo dipolo-dipolo, obtida a partir do potencial elétrico secundário. A solução é calculada através do método de elementos finitos usando malhas não estruturadas. Para efeito de validação, os resultados são comparados com a resposta 2-D obtida a partir dos potencias totais.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Pós-graduação em Agronomia - FEIS

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

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The knowledge on spatial distribution of soil properties by means of geostatistics is important as an indicator for a better soil use and management. This study aimed at evaluating the spatial distribution of soil chemical properties, in a forest and pasture area in Manicoré, Amazonas State, Brazil. Grids with 70.00 m x 70.00 m, with regular spacing of 10.00 m x 10.00 m, totaling 64 points, were established, and then soil samples were collected at the depths of 0.0-0.20 m and 0.40-0.60 m and had their chemical properties determined. Data were analyzed by using descriptive statistics and geostatistics, and the sampling density analysis was based on the coefficient of variation and semivariograms range. The mean and median values were adjusted to the closest values, indicating normal distribution, while the spherical, exponential and gaussian models were adjusted to the soil chemical properties. It was concluded that the geostatistics provided adequate information for understanding the spatial distribution. The forest area showed a higher spatial continuity and the pasture area a lower sampling density. The chemical properties showed differences in the spatial variability, while the range represented better the estimates for sampling density and spacing, in the forest and pasture area.

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The use of geostatistical techniques allows detection of the existence of dependence and the spatial distribution of soil properties, thus constituting an important tool in the analysis and detailed description of the behavior of soil physical properties. The aim of the present study was to use geostatistics in assessment of physical properties in a Latossolo (Oxisol) dystrophic under native forest and pasture in the Amazon region of Manicore. Grids with of 70 x 70 m were established in native forest and pasture, and points were marked in these grids spaced at every 10 m, for a total of 64 points. These points were then georeferenced and in each one, soil samples (128) were collected at the depths of 0.00-0.20 and 0.40-0.60 m for a survey of their physical properties. These grids are parallel at a distance of 100 m from one another. The following determinations were made: texture, bulk density and particle density, macroporosity, microporosity, total porosity and aggregate stability in water. After tabulating the data, descriptive statistical analysis and geostatistical analysis were performed. The pasture had a slight variation in its physical properties in relation to native forest, with a high coefficient of variation and weak spatial dependence. The scaled semivariograms were able to satisfactorily reproduce the spatial behavior of the properties in the same pattern as the individual semivariograms, and the use of the parameter range of the semivariogram was efficient for determining the optimal sampling density for the environments under study. The geostatistical results indicate that the removal of native forest for establishing pasture altered the natural variability of the physical properties.

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Topographical surfaces can be represented with a good degree of accuracy by means of maps. However these are not always the best tools for the understanding of more complex reliefs. In this sense, the greatest contribution of this work is to specify and to implement the architecture of an opensource software system capable of representing TIN (Triangular Irregular Network) based digital terrain models. The system implementation follows the object oriented programming and generic paradigms enabling the integration of various opensource tools such as GDAL, OGR, OpenGL, OpenSceneGraph and Qt. Furthermore, the representation core of the system has the ability to work with multiple topological data structures from which can be extracted, in constant time, all the connectivity relations between the entities vertices, edges and faces existing in a planar triangulation what helps enormously the implementation for real time applications. This is an important capability, for example, in the use of laser survey data (Lidar, ALS, TLS), allowing for the generation of triangular mesh models in the order of millions of points.

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Pós-graduação em Engenharia Mecânica - FEG

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Pós-graduação em Engenharia Elétrica - FEIS

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Pós-graduação em Agronomia (Energia na Agricultura) - FCA

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Pós-graduação em Zootecnia - FCAV

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