No description available.

No description available.

No description available.

To solve traffic congestion in Bangkok, the Bangkok Mass Transit system (BTS) constructed an overhead rail system with 24 stations. The BTS train station, S2, in this study area covers Silom road and obstructs the air pollutant dispersion in a congestion area. The 1: 200 physical model of the buildings along Silom road with the train station, S2, was simulated in this research to determine the air pollutant dispersion in the train station area. A tracer gas (CO₂) was emitted from a simulated line source with emission rates of 0.383, 0.681, 1.293, 2.586, 5.177 and 10.77 mg/min to simulate actual pollutant emission rates. The CO₂ gas was sampled at 55 locations in the model. The Kriging method was used to interpolate the data in the study area. . Emission rates were used to make the difference between measured CO₂ in the model area and ambient CO₂ large enough to be differentiated. Regression Analysis was used to relate analytically the mass emission rate to the CO₂ concentration. The results indicate that the maximum CO concentrations exceed the 30 ppm Bangkok standard along the Southeast side of Silom Road at the passenger platform level. Drivers will acquire more harmful levels of CO than pedestrians at street level, especially near the Southwest end of the train station. NO₂ concentrations do not exceed the standard (0.17 ppm) at street level. The highest predicted VOC is 1.05 ppm. These results may be used in the future for numerical modeling study. / Master of Science

Made available in DSpace on 2014-08-20T14:25:52Z (GMT). No. of bitstreams: 1 dissertacao_daniel_schuch.pdf: 1534096 bytes, checksum: 7a0aa04f35343a826f68cb23af11d80d (MD5) Previous issue date: 2011-09-23 / The present work shows an analytical solution for the two-dimensional advectiondiffusion equation applied to the dispersion of pollutants released in the Atmospheric Boundary layer. The problem is solved by the combination of the Laplace Transform and GILTT (Generalized Integral Laplace Transform Technique) techniques. This solution has no limitations regarding the turbulent diffusion coefficients and wind profile depending on the height. An arbitrary source is added to the advectiondiffusion equation to model the process of first order chemical reactions. The concentration fields obtained computationally are compared with experimental data available in the literature. / Esta dissertação apresenta uma solução analítica para a equação de advecçãodifusão bidimensional aplicada a dispersão de poluentes lançados na Camada Limite Atmosférica (CLA). A resolução do problema será com o uso das técnicas da Transformada de Laplace e GILTT (Generalized Integral Laplace Transform Technique). Esta solução é válida para qualquer coeficiente de difusão turbulenta e perfil de vento dependentes da altura. Um termo fonte arbitrário é adicionado à equação de advecção-difusão para modelar o processo de reação química de primeira ordem. Os campos de concentração obtidos computacionalmente são comparados com dados experimentais e da literatura.

Presented diploma thesis deals with the application of dispersion modelling of emissions from stationary sources of pollution as a potential tool which can be used for data preparation in reverse logistic models. In this case, the stationary source is represented by a waste-to-energy plant. The thesis consists of two main parts -- theoretical and computational. Firstly, emission sources and pollutants originating in thermal waste treatment are discussed. In the second chapter, legislation linked to the problem of air pollution is listed and the topics of current air quality in the Czech Republic and dispersion studies are outlined. Closing section of the theoretical part provides information about the principals of dispersion calculations and classification of dispersion models is given. In the computational part, the used dispersion software SYMOS'97 is introduced and the series of conducted calculations is presented. The calculations investigated the influence of plant capacity, dispersion conditions and terrain on the results. The input data of plant capacity and wind rose were indicated as key parameters in the calculation. The final evaluation revealed a good potential of the used dispersion model as a support tool in reverse logistic models.

No description available.