1000 resultados para Modelagem e Simulação
Resumo:
As distorções estáticas são um grave problema que afeta o método magnetotelúrico e muitas tentativas têm sido feitas para eliminar ou minimizar os seus efeitos. Este trabalho trata de uma técnica nova que trata deste problema, o método EMAP, que é uma adaptação do método magnetotelúrico na qual as medidas de campo elétrico são feitas em uma linha contínua de dipolos conectados entre si, e os dados coletados desta maneira são tratados com um filtro espacial passa-baixa dependente da frequência. Este trabalho é composto de duas partes principais, a simulação numérica dos dados contaminados com as distorções estáticas e a filtragem destes dados com o filtro espacial passa-baixa. Na primeira parte, aplicamos o método dos elementos finitos para simular a resposta dos dipolos elétricos, os quais fazem as medidas do campo elétrico. Na segunda parte aplicamos a janela de Hanning como filtro passa-baixa apropriado para tratar os dados.
Resumo:
A poluição atmosférica é considerada atualmente um dos maiores problemas da sociedade contemporânea, por ameaçar sua qualidade de vida, pois gera impactos negativos no meio ambiente natural e antrópico. Dentre as formas de controle da poluição atmosférica de fontes fixas podem-se destacar a diluição das emissões na atmosfera devido aos efeitos de dispersão, a adoção de equipamentos de controle antes do lançamento dos gases ou a realocação de fonte, visto ser uma possibilidade a ser sugerida durante o procedimento de licenciamento ambiental de empreendimentos com potencial poluidor do ar. Atualmente modelos computacionais de dispersão de poluentes na atmosfera vêm sendo amplamente utilizados na simulação da concentração de poluentes, visando auxiliar órgãos ambientais no prognóstico da qualidade do ar ou suprir deficiências de monitoramento de emissões atmosféricas. O presente trabalho estudou a qualidade do ar e avaliou a dispersão de poluentes atmosféricos sobre Vila do Conde e áreas de influência do Distrito Industrial de Barcarena, no município de Barcarena, estado do Pará, com auxílio do modelo AERMOD View, visto a possibilidade de se estabelecer uma relação entre os níveis de emissões dos poluentes na fonte, com as concentrações dos mesmos no ar, bem como identificar pontos críticos de poluição. O Índice de Qualidade do Ar – IQA e as fragilidades das populações humanas das áreas afetadas pelos poluentes atmosféricos, também foram mensurados na pesquisa. A metodologia empregada permitiu mensurar a concentração média de poluentes atmosféricos durante um determinado tempo de modelagem, informações quanto ao alcance da pluma de poluentes foram alcançados também. São fornecidos ainda informações quanto à relação entre o valor de pico e o valor médio da concentração nas áreas receptoras, provocadas por empreendimentos com características operacionais similares ao modelado. Os resultados demostram que a influência de parâmetros meteorológicos, na dispersão de poluentes são indispensáveis e determinantes na previsão do impacto na qualidade do ar e no planejamento do uso e ocupação do solo de áreas que abrigam atividades poluidoras da atmosfera.
Resumo:
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Resumo:
Uma das necessidades da agricultura de precisão é avaliar a qualidade dos mapas dos atributos dos solos. Neste sentido, o presente trabalho objetivou avaliar o desempenho dos métodos geoestatísticos: krigagem ordinária e simulação sequencial gaussiana na predição espacial do diâmetro médio do cristal da goethita com 121 pontos amostrados em uma malha de 1 ha com espaçamentos regulares de 10 em 10 m. Após a análise textural e da concentração dos óxidos de ferro, calcularam-se os valores do diâmetro médio do cristal da goethita os quais foram analisados pela estatística descritiva e geoestatística; em seguida, foram utilizadas a krigagem ordinária e a simulação sequencial gaussiana. Com os resultados avaliou-se qual foi o método mais fiel para reproduzir as estatísticas, a função de densidade de probabilidade acumulada condicional e a estatística epsilon εy da amostra. As estimativas E-Type foram semelhantes à krigagem ordinária devido à minimização da variância. No entanto, a krigagem deixa de apresentar, em locais específicos, o grau de cristalinidade da goethita enquanto o mapa E-Type indicou que a simulação sequencial gaussiana deve ser utilizada ao invés de mapas de krigagem. Os mapas E-type devem ser preferíveis por apresentar melhor desempenho na modelagem.
Resumo:
Phosphorus is one of the limiting nutrients for sugarcane development in Brazilian soils. The spatial variability of this nutrient is great, defined by the properties that control its adsorption and desorption reactions. Spatial estimates to characterize this variability are based on geostatistical interpolation. However, inherent uncertainties in the procedure of these estimates are related to the variability structure of the property under study and the sample configuration of the area. Thus, the assessment of the uncertainty of estimates associated with the spatial distribution of available P (Plabile) is decisive to optimize the use of phosphate fertilizers. The purpose of this study was to evaluate the performance of sequential Gaussian simulation (sGs) and ordinary kriging (OK) in the modeling of uncertainty in available P estimates. A sampling grid with 626 points was established in a 200-ha experimental sugarcane field in Tabapuã, São Paulo State. The sGs algorithm generated 200 realizations. The sGs realizations reproduced the statistics and the distribution of the sample data. The G statistic (0.81) indicated good agreement between the values of simulated and observed fractions. The sGs realizations preserved the spatial variability of Plabile without the smoothing effect of the OK map. The accuracy in the reproduction of the variogram of the sample data obtained by the sGs realizations was on average 240 times higher than that obtained by OK. The uncertainty map, obtained by OK, showed less variation in the study area than that obtained by sGs. Thus, the evaluation of uncertainties by sGs was more informative and can be used to define and delimit specific management areas more precisely.
Resumo:
Pós-graduação em Química - IQ
Resumo:
Pós-graduação em Engenharia Mecânica - FEIS
Resumo:
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Resumo:
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Resumo:
Pós-graduação em Engenharia Mecânica - FEG
Resumo:
The present work develops a model to simulate the dynamics of a quadcopter being controlled by a PD fuzzy controller. Initially is presented a brief history of quadcopters an introduction to fuzzy logic and fuzzy control systems. Afterwards is presented an overview of the quadcopter dynamics and the mathematical modelling development applying Newton-Euler method. Then the modelling are implemented in a Simulink model in addition to a PD fuzzy controller. A prototype proposition is made, by describing each necessary component to build up a quadcopter. In the end the results from the simulators are discussed and compared due to the discrepancy between the model using ideal sensor and the model using non-ideal sensors
Resumo:
This scientific research aimed at presenting a comparative analysis of softwares used to represent the processes of flood wave and debris flow. For this, a literature review was performed on these processes and on simulation models used to represent them. Then, a research on scientific database and developers’ websites was performed to identify the softwares used to simulate these processes. This step was performed based on specific criteria such as the type of simulation performed by the software, its practical applications and a user friendly interface. A free distribution and totally functional software was chosen and its simulation mechanisms were tested through a simulation exercise and the results interpreted based on data on measured in the Basin of Ribeirão Marins section Monjolinho located in Piracicaba - SP. With respect to the processes, it was sought to present the dynamics, constraints, parameters and variables used to understand them and for the simulation models were presented the conceptual aspects of mathematical modeling including the steps of the simulation process and the different types of simulation models used to represent them. In total, 20 softwares were identified, and the software object of analysis was the ABC 6 that performs simulation of flood wave. Through the simulation exercise, it was observed that were presented overestimated values of flow compared to measured data in the basin. For both hypotheses were raised about the causes of the discrepancy between the observed and simulated flow. It has been concluded that the simulation process consisted of a complex procedure where generalizations, misrepresentations and simplifications may occur due to the data used and the method adopted, but it is a useful tool in planning and decision making in various types of studies and environmental projects
Resumo:
Brazil is a major world producer and exporter of agricultural products like soybeans, sugar, coffee, orange and tobacoo. However, the action of phytopathogenic fungi has been one of the largest challenges encountered in the field as they are responsible for approximately 25 to 50 per cent of losses in crops of fruits and vegetables. The presence of these pathogens is always a problem, because the damage on the tissues and organs promote lesions which decreses growth vegetation and often leads the individual (host) to death. Therefore, it is crucial to understand the process of spreading of these pathogens in the field to develop strategies which prevent the epidemics caused by them. In this study, the dispersal of fungi phytopathogenic in the field was modeled using the automata cellular formalism. The growth rate of infected plants population was measured by the radius of gyration and the influence of host different susceptibility degrees into the disease spread was assessed. The spatial anisotropy related to the plant-to-plant space and the system’s response to distinct seasonal patterns were also evaluated. The results obtained by a mean field model (spatially implicit models) emphasized the importance of the spatial structure on the spreading process, and dispersal patterns obtained by simulation (using a cellular automata) were in agreement with thse observed in data. All computational implementation was held in language Cl
Resumo:
The project has as objective to adjust the model QUAL2K to “Ribeirão Claro” river to evaluate the behavior of OD and DBO when are simulated the following sceneries: (i) implantation of a hypothetic wastewater station treatment that treats all the effluent thrown nowadays in the body of water; (ii) increase of withdrawal flow of DAAE to public supply and (iii) increase of nowadays flow of wastewater throwing, being the two last caused for the population increasing. The results obtained allowed to conclude that the model QUAL2K presented a good adjustment to the variable OD and a reasonable adjustment to the variable DBO, being that the same was suitable to the simulation of the sceneries proposed.
Resumo:
This study aimed to simulate and evaluate the sediment transport in Upper Basin Stream Cachoeirinha in Rio Claro, SP, and compare the results with previous studies performed in the same basin. The modeling software used in this study was Soil and Water Assessment Tool (SWAT), which is a very comprehensive tool that discusses many physical processes. In this work, the hydrosedimentological processes were treated, aiming to understand the sediment production and transport. The Basin Stream Cachoeirinha has an area with predominantly agricultural use, especially sugar cane. The database for inclusion in software was constructed from the following elements: climatic, topographical, soil type and use and land cover of the area, also including the parameters of Modified Universal Soil Loss Equation (MUSLE). The analysis was conducted for a period of 16 years (1994-2010), which is the range of data available from CEAPLA. The results were analyzed in terms of annual runoff and sediment yield. The average sediment delivery in the simulation was 0.94 t/ha/year, while the maximum annual contribution was 7.28 t/ha/year