34 resultados para Polícia Militar do Estado do Rio de Janeiro

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


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O objetivo deste trabalho é dar uma contribuição ao estudo das condições climáticas do Estado do Rio de Janeiro, visando a uma melhor Classificação Climática por meio da identificação de regiões homogêneas em precipitação. Para isto foram utilizadas médias mensais da precipitação de 48 estações meteorológicas, em um período de 30 anos (1971-2000). A análise hierárquica de agrupamento, a orografia e a proximidade do mar, mostraram que o Estado do Rio de Janeiro pode ser dividido, quanto à precipitação, em seis regiões pluviometricamente homogêneas o que possibilitou classificar as estações meteorológicas pelo método de classificação não hierárquica k-means. A região norte do Estado, com precipitações anuais em torno de 870 mm é a mais seca, e a região da encosta sul da Serra do Mar, com 2020 mm, é a mais chuvosa. Mas, em ambas as regiões, os valores da precipitação da estação chuvosa representam em torno de 70% dos totais anuais.

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Pesquisou-se a presença de anticorpos contra Borrelia burgdorferi latu sensu em cães de áreas rurais de sete municípios do Estado do Rio de Janeiro, pelo ensaio imunoenzimático indireto, associando-se os resultados com a presença de carrapatos nestes animais. de 199 cães examinados, 15,58% estavam positivos, com títulos que variaram de 400 (13,57%) a 1600 (0,5%). Os casos positivos se distribuíram uniformemente nos sete municípios. Não houve diferença estatística (P > 0,05) de soropositivos entre as faixas etárias dos cães acima de seis meses. Carrapatos foram encontrados e coletados em 71 (35,68%) cães, dos quais 24,1% estavam infestados com Amblyomma cajennense, 13,6% com Rhipicephalus sanguineus, 2,5% com Amblyomma aureolatum e 1,5% com Amblyomma ovale. Dos animais soropositivos para B. burgdorferi, 38,7% apresentavam A. cajennense e 22,6% apresentavam R. sanguineus, não havendo, entretanto, correlação positiva entre a presença do carrapato e sorologia positiva.

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The objective of this work was to carry a descriptive analysis in the monthly precipitation of rainfall stations from Rio de Janeiro State, Brazil, using data of position and dispersion and graphical analyses, and to verify the presence of seasonality and trend in these data, with a study about the application of models of time series. The descriptive statistics was to characterize the general behavior of the series in three stations selected which present consistent historical series. The methodology of analysis of variance in randomized blocks and the determination of models of multiple linear regression, considering years and months as predictors variables, disclosed the presence of seasonality, what allowed to infer on the occurrence of repetitive natural phenomena throughout the time and absence of trend in the data. It was applied the methodology of multiple linear regression to removal the seasonality of these time series. The original data had been deducted from the estimates made by the adjusted model and the analysis of variance in randomized blocks for the residues of regression was preceded again. With the results obtained it was possible to conclude that the monthly rainfall present seasonality and they don't present trend, the analysis of multiple regression was efficient in the removal of the seasonality, and the rainfall can be studied by means of time series.

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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

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

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Música - IA

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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The transportation of oil through pipelines raises a concern related to safety and environmental impacts they may cause, especially when exposed to risks that affect their integrity. Among the natural phenomena that can affect the pipelines are erosion and landslides. Considering the large territory involving the pipelines, remote sensing tools have a great applicability for data acquisition. For this, visual analysis techniques were applied to perform change detection in order to monitor erosion features and landslides along a stretch of pipeline Rio de Janeiro – Belo Horizonte, in the state of Rio de Janeiro. The work involved the characterization of the study area as well as the erosion and landslide processes, through bibliographical data. The satellite image processing and the application of change detection techniques were developed in two scenes for the years 2002 and 2010. It was noted a small increase in the number of the identified features, however with regard to their area, a decrease of 21.7% was observed

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Different forms of human pressure may occur in the pipeline ranges, due to the large extensions and various configurations of land use, which can pass through the pipelines. Due to the dynamics of these pressures, it is necessary to monitor temporal changes of land use and cover the surface. Under this theme, appears as extremely important to use products and techniques of remote sensing, as they allow the identification of objects of the land surface that may compromise the security and monitoring of the pipeline, and allows the extraction of information conditions on land use at different periods of time. Based on the above, this paper aims to examine in a temporal approach, the process of urban expansion in the municipality of Duque de Caxias, located on the outskirts of the metropolitan area of the state of Rio de Janeiro, as well as settlement patterns characteristic of areas that the changes occurred in the period 1987 to 2010. We used the technique of visual analysis to perform the change detection and the technique of image classification, aimed at monitoring human pressure over a stretch of track pipeline Rio de Janeiro - Belo Horizonte, located in the state of Rio de Janeiro. The stages of work involved the characterization of the study area, urban sprawl and the existing settlement patterns, through the analysis of bibliographic data. The processing of Landsat 5 images and the application of the technique of change detection were performed in three scenes for the years 1987, 1998 and 2010, while the classification process was performed on the image RapidEye for the year 2010. Can be noted an increase in urban area of approximately 22.38% and the change of land cover from natural to built. This growth is concentrated outside to the area of direct influence of the duct, occurring in the area of indirect influence of the enterprise. Regarding the settlement patterns of growth areas, it was observed that these are predominantly

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The transportation of oil through polyducts implies a concern related to safety and environmental impacts they may cause, especially when exposed to risks that affect their integrity. Among the various anthropogenic activities included in this scenario, mining can aggravate, increase the risks and degrade the environment. Since these polyducts go through significant extensions, remote sensing has great applicability as a tool for data acquisition. For this, change detection techniques were used to monitor mining activities in a defined study area in the state of Rio de Janeiro, along the duct ORBEL. The characterization of the study area and the mining activities were developed through bibliographical data. The satellite images processing and the application of change detection technique were performed in two scenes for the years 2002 and 2010. The growth in the mining area was about 6.67 times and it was possible to identify types of extraction involved which can represent direct risks to the pipeline

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Pós-graduação em Geociências e Meio Ambiente - IGCE