77 resultados para Atmospheric Particulate Matter


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Pós-graduação em Química - IQ

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Pós-graduação em Engenharia Mecânica - FEG

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The aim of this study was to estimate the association between exposure to particulate matter less than 2.5 microns in diameter and hospitalization for respiratory diseases. It was an ecological time series study with daily indicators of hospitalization for respiratory diseases in children up to 10 years, living in Piracicaba, SP, Southeastern Brazil, between August 1, 2011 and July 31, 2012. We used generalized additive model for the Poisson regression. The relative risks were RR = 1.008; 95%CI 1.001; 1.016 for lag 1 and RR = 1.009; 95%CI 1.001; 1.017 for lag 3. The increment of 10 mu g/m(3) in particulate matter less than 2.5 microns in diameter implies increase in relative risk between 7.9 and 8.6 percentage points. In conclusion, exposure to particulate matter less than 2.5 microns in diameter was associated with hospitalization for respiratory diseases in children.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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

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We conducted a study of the quality of water distributed by Artesian Well in relation to water supply served by the public for purposes of human consumption of UNESP Campus Guaratinguetá. Two sections of the network were randomly chosen and monitored for 105 days: the stretch of the pipeline started off the Water Treatment Station of the Autonomous Service of Water, Sewage and waste in the Municipality of Guaratinguetá and ended in a point consumption of the Child Family Center, while the section B began at the output of an artesian well and finished in a point of consumption of the Department of Civil Engineering. It is the deterioration of water quality in parts A and B, through comparative analysis of Bicarbonates, Total Hardness, Total Iron, free residual chlorine, pH, Total Residual, Turbidity, Conductivity, Color, Fecal Coliforms and Total Coliforms. Among the observations that can be highlighted: the Total Hardness was found in highest concentration in the extract; for Total Iron significant variations were obtained for both parts, and reduction of this parameter in two points of consumption analyzed, not the expected increase concentration, because the contact of water along the pipe, the CRL showed significant depletion to section A, which can be related to impurities in the water, the presence of biofilm on the walls of pipes, or because this is the stretch of greater extent to be covered by water for pH, this indicated that the water is alkaline and slightly acidic stretch in section B; Turbidity was found for the higher concentration to the passage, and a considerable reduction of this parameter at point consumption due to deposition of particulate matter along the stretch, the conductivity also showed a higher concentration in the extract, as well as an increase in this parameter at the point of consumption. Upon leaving ... (Complete abstract click electronic access below)

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The concern of the society with regard to the pollution if becomes each bigger and necessary time. This pollution generates damage for who is in contact, as much in economic terms how much in quality of life. The particulate matter is one of the main polluting the air, being the most harmful to human health, fine particles and ultra fine (below 2.5 μm in diameter). With this, this work had as objective to mensurar the pollution of air for material particulado through samplings in an urban center, in a siderurgical industry, a conventional coal bunker and a forest fire. The equipment used for the sampling of particles had been the DataRam4 (model DR 4000) and the Impactador de Andersen, both developed by company THERMO SCIENTIFIC. The first equipment uses a system of nefelometry and the second uses a gravimetrical system of sampling. During the carried through samplings, it can be observed in some cases the difficulty in the breath, badly be and low visibility that this type of pollutant can cause. In most cases the results were disturbing. In industry, conventional coal bunker and in the forest were measured values high concentration for particles smaller diameters. Peak concentrations issued were: 40,000 μg/m³, 182,000 μg/m³ and 400,000 μg/m³ for the industry, conventional coal bunker and forest, respectively. Already in the urban centre were satisfactory results, always staying within the limit allowed by the rules in force so far in the country

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The use of biomass as an energy source has been increasing in Brazil, with emphasis on the use of wood biomass, such as bark, wood chips and sawdust, that after receiving the appropriate treatment can be used in burners for power generation. However, from this burning are emitted fine particles known as particulate matter and a wide range of toxic organic and inorganic components in the form of gases that contribute greatly to air pollution and global warming, affecting human health, the environment and climate. The objective of this project was the quantification of gaseous and particulate, using and evaluating the equipment DR4000 ( Dataram 4 ) sampling of particulates smaller than 2.5μm and EUROTRON ( Ecoline 4000 ) when sampling gaseous pollutants, emitted from the burning of biomass in real time in the firing burner to a chimney attached biomass . We note that there are no specific rules that establish emission limits for particulate matter with diameter less than 2.5μm that are most harmful to human health and the highest concentrations reached about 800000μg/m3, for smaller diameters. It is noticeable the need for sampling of pollutants especially in industries that use biomass to fuel that could be implanted emission control equipment

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It is clear today the ever-accelerating search for new fuels that will eventually replace those that will survive in our society, which are fossil fuels. For this reason, a fuel used since the dawn of humanity and much studied since then, considered the generator of clean, renewable energy, can earn more and more space in the power generation sector, which is biomass. We performed two experiments with two different types of biomass, one from the Amazon rainforest and other pine and eucalyptus as waste from the sawmill UNESP Itapeva. In the first experiment, conducted at the Laboratory of Combustion and Propulsion INPE Cachoeira Paulista were conducted three tests in a chimney with a fan creating forced ventilation, where the biomass was burned and deposited on a support beneath the hood. In the second experiment was conducted to analyze the emission of particulate matter using biomass (waste) from the sawmill on the campus of UNESP experimental Itapeva the burning of it in a burner for heating water for a wood oven. In these experiments we used a particle called DATARAM4 sampler that is capable of sampling both outdoors and inside of pipelines, which is the focus of this work. With this equipment it was possible to measure the concentration of particulate matter in all the firings as above, and compare them to levels acceptable in the current law, always trying to analyze the so-called fine particles, which are those with diameters less than 2.5 μm. Using data obtained from the equipment was also possible to evaluate the diametral distribution of particulate matter in question, and verify which phases of the flares in the concentration and the diameters of the particles are the most critical. In this work we concluded that in all firings conducted concentrations of particulate matter were higher than that allowed by the law, and the diameters were found that are more harmful to human health

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Pós-graduação em Engenharia Mecânica - FEG

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Abstract A fuzzy linguistic model based on the Mamdani method with input variables, particulate matter, sulfur dioxide, temperature and wind obtained from CETESB with two membership functions each was built to predict the average hospitalization time due to cardiovascular diseases related to exposure to air pollutants in São José dos Campos in the State of São Paulo in 2009. The output variable is the average length of hospitalization obtained from DATASUS with six membership functions. The average time given by the model was compared to actual data using lags of 0 to 4 days. This model was built using the Matlab v. 7.5 fuzzy toolbox. Its accuracy was assessed with the ROC curve. Hospitalizations with a mean time of 7.9 days (SD = 4.9) were recorded in 1119 cases. The data provided revealed a significant correlation with the actual data according to the lags of 0 to 4 days. The pollutant that showed the greatest accuracy was sulfur dioxide. This model can be used as the basis of a specialized system to assist the city health authority in assessing the risk of hospitalizations due to air pollutants.

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

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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)