203 resultados para Monitoramento costeiro. Geodésia. MDE. LiDAR
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A borracha natural (BN) de três clones de seringueira [Hevea brasiliensis (Willd. exAdr. de Juss. Muell.-Arg.)] de um período de sete meses foi obtida por coagulação do látex com solução de ácido acético a 10% e seca a 65°C. As curvas TG-DTG foram utilizadas para monitorar as propriedades térmicas da BN. Os resultados indicaram pequenas variações entre clones e coletas, exceto no valor de Tf-T0, indicando que o clone IAC 301 sofre degradação mais rápida durante o processo termo degradação da BN seca. Não houve diferenças significativas nos valores de Tg entre clones e coletas.
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We studied the molecular epidemiology of Staphylococcus aureus strains potentially toxigenic, isolated from the production process of Minas frescal cheese in a small dairy plant in the state of São Paulo. For this, samples were taken during the period from June 2008 to July 2009. Samples were collected from the surface of the receiving and storage tanks of raw milk, the surface of the balance tank of pasteurized milk, the water supply system, the pipes and equipments, the hands of the handler and from the packaged cheese, totaling 140 samples. The colonies isolated on Baird-Parker Agar confirmed as Gram positive and positive for catalase, coagulase and acetoin production, were submitted to extraction of bacterial DNA using the Invitek - Uniscience® kit. Confirmation of the isolated species and enterotoxins SEA, SEB, SEC, SED and TSST-1 toxin was carried out through the amplification of specific fragments of chromosomal DNA. Among the 74 strains of isolated coagulase-positive staphylococci, only 41 (55.4%) strains were confirmed as Staphylococcus aureus, of which 25 (61.0%) were positive to the presence of staphylococcal toxins. The most frequently identified enterotoxin was SEA. The toxigenic strains of Staphylococcus aureus were more frequently isolated from hands of the handler (16.0%), raw milk receiving tank (12.0%), pasteurized milk for cheese making (12.0%) and fresh white cheese ready for consumption (12.0%).
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Data from reference stations are widely used in GNSS (Global Navigation Satellite System) positioning, and can be used in relative positioning or network-based positioning concept. Positioning accuracy will be directly influenced by errors in signals collected in these stations. In this paper, it is aimed at evaluating these data quality using temporal series of multipath index MP1 and MP2. A statistical study of temporal series with 7 years of daily observations related to 7 stations from RBMC (Rede Brasileira de Monitoramento Contínuo) was accomplished. In order to investigate trends and seasonality a linear regression model, correlograms, and Fourier periodograms were used. We also used a harmonic adjust to identify peaks on temporal series. At last, the possible causes of seasonality found in some stations were discussed. It was also possible to identify peaks in MP values of March and October months (mainly in stations located near geomagnetic equator).
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Pós-graduação em Agronomia (Energia na Agricultura) - FCA
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Pós-graduação em Agronomia (Produção Vegetal) - FCAV
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Pós-graduação em Engenharia Mecânica - FEIS
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Technological advances and the availability of computational resources have been facilitating the collection and processing of data. Thus, the natural tendency of the monitoring processes is the simultaneous control of various quality characteristics. In automated processes, observations are generally autocorrelated. Studies with univariate graph for processes have shown that the autocorrelation reduces the ability of this signal changes in the process. In this paper, we study the multivariate autocorrelated processes. Through simulations are obtained properties of graphs, monitoring the mean vector, the properties of graphs VMAX, in monitoring the covariance matrix, and the properties of graphs MCMAX, the simultaneous monitoring of mean vector and covariance matrix. Conclude that increasing the autocorrelation and the number of variables being monitored, reduces the power of the graphics in signal of a special cause
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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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The increase in energy consumption in the world has caused the electrical systems becoming ever larger and more complex. Because of that becomes necessary to use special tools to efficiently manage the equipment present in these systems. Nowadays a tool very used is the remote monitoring of assets which works collecting signals using sensors processing these signals and make them available to the system user. So the user can use informations that may assist him efficiently in making decisions when doing a maintenance. The system is technically efficient since it improves the measurement process and enables the asset management of a substation by using advanced technology for that and economically viable especially in cases where the user is subject to monetary loss due an interruption of power supply
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The São Francisco river delta is an important sedimentation environment located between the States of Sergipe and Alagoas. Due to a set of factors (physical processes and anthropic interference), a process of coastal erosion is currently happening quickly in their mouth. The sedimentation dynamics and coastal erosion in São Francisco river mouth and the reasons for the process of erosion is occurring quickly were the elements of study in this work. For that, were analyzed rainfall historical data series and river flow, sediment contribution data, to examine aerial photos and satellite images, besides the use of the bibliography on the matter. The analyses made served as a basis to understand how the process is happening and to verify how the anthropic interference is contributing to the occurrence of accelerated erosion on the spot.
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The geophysical methods are widely applied in environmental characterization and monitoring studies. The resistivity method, in particular, has a wide area of applications, being effective in studies of solid waste landfills. The present work propose a geophysical monitoring in the Cordeirópolis city controlled landfill and analyze relationships between variation of electrical resistivity parameter, the residence time of the solid waste in landfill, the rainfall in the region and the organic matter biodegradation processes. The study has no monitoring system to control the products generated in the organic matter decomposition found in waste such as sealing blanket or leachate or gas drains. The results shows that the electrical resistivity parameter was effective in monitoring the landfill contamination plume
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As an effect of the imbalance caused by the damming of rivers and pollution, it has been observed a growing aquatic plants infestation in reservoirs for the generation of electricity. In addition to power generation, these sites have also been used for various other purposes, including recreation, attracting water and navigation. Thus it is important to evaluate these water bodies periodically, in order to verify the leading conditions to the growth of algae, plants and other organisms. In this sense, Remote sensing technology can be a valuable tool for mapping and monitoring the occupation of land in the vicinity of the water body and the optical properties of water, to provide subsidies for the effective management of these aquatic environments. This paper aims to perform the monitoring of the occurrence of aquatic plants in Salto Grande Hydropower Reservoir, located in Americana (SP) and, periodically, map the occupation of land in the vicinity of the water body, through multispectral images taken by sensors on the satellites Landsat series in seven consecutive years: 2004, 2005, 2006, 2007, 2008, 2009 and 2010. The adopted methodological procedure included the images data and the classification of multispectral images to map, every year, the location and extension of the area infested by aquatic plants and the occupation of land
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O século passado foi marcado por grandes avanços tecnológicos na agricultura que culminaram com a chamada “Revolução Verde”, a qual é hoje, comprovadamente, considerada como um modelo insustentável. Tal fato tem motivado instituições científicas e agricultores a buscarem por novos paradigmas para a produção. A agroecologia tem se destacado por abordar o manejo de agroecossistemas dentro de uma visão holística, sistêmica e participativa, subsidiando a recuperação das suas funções e a autonomia durante a transição agroecológica. Nesse contexto, a utilização de ferramentas para avaliação e monitoramento do processo, como a análise de indicadores de sustentabilidade, é fundamental. O presente estudo teve como objetivo monitorar participativamente o grau de sustentabilidade de duas unidades de produção orgânica em Jaguariúna-SP, após cinco anos de uma primeira avaliação. Foram analisados 81 indicadores, abordando quatro dimensões da sustentabilidade: ambiental, social, econômica e política. Os resultados foram obtidos de forma consensual e participativa entre pesquisadores e agricultores, enriquecendo o estudo. Do ponto de vista global, houve um leve avanço no grau de sustentabilidade das duas propriedades. No entanto, ambas continuam no mesmo nível de transição agroecológica apresentado em pesquisa realizada em 2005.