京都大学 / 0048 / 新制・課程博士 / 博士(工学) / 甲第22766号 / 工博第4765号 / 新制||工||1745(附属図書館) / 京都大学大学院工学研究科都市環境工学専攻 / (主査)教授 米田 稔, 教授 高野 裕久, 准教授 藤森 真一郎 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DFAM

The performance of the AERMOD and ADMS dispersion models was tested using PM10 (thoracic dust) emissions from Rössing Uranium Mine open pit in Namibia. The performance of the two models was evaluated against the observations and also against each other using various statistical measures. The models were tested under different case scenarios (cases explained in chapter 4) with the aim of evaluating their performances as well as their inter model variability. The study was undertaken from the 13 July 2009 – 14 August 2009. The results from the study showed that the performance of ADMS was superior to that of AERMOD. In general, the performance of AERMOD was very poor and simulated extremely high concentration values. AERMOD performed even more poorly during calm conditions. ADMS performance was superior to AERMOD as was evident from the values of various performance statistical measures and a conclusion reached was that ADMS is likely to be a better model to use in cases where prolonged calm conditions are experienced. Copyright / Dissertation (MSc)--University of Pretoria, 2012. / Chemical Engineering / unrestricted

As U.S. landfills continue to grow in size, concerns about odorous gas emissions from landfills are increasing. For states that are expanding in population, such as Florida, odors from landfills are a major concern because new housing developments, needed to accommodate the rapid population growth, are creeping closer and closer to the existing landfills. As homes get closer to landfills, odor complaints are likely to become more frequent, causing landfill managers increased problems with public interactions. Odor buffer zones around landfills need to be established to give municipalities tools to help prevent the building of future homes too close to landfills. Using the latest air dispersion model, AERMOD, research predicted downwind odor concentrations from a Central Florida landfill. Accurate estimates of methane emissions throughout a Central Florida landfill were determined using a new technique developed as part of this research that uses hundreds of ambient air VOC measurements taken within a landfill, as receptors. Hundreds of point sources were placed on the landfill, and the standard Gaussian dispersion equations were solved by matrix inversion methods. The methane emission rates were then used as surrogates for odor emissions to predict downwind odor concentrations via AERMOD. By determining a critical zone around a landfill with regards to odor, stakeholders will be able to meet regulatory issues and assist their communities. Other beneficial uses from this research include: determination of existing gas collection system efficiencies, calculation of fugitive greenhouse gas emissions from municipal solid waste (MSW) landfills, and improved landfill gas management.

The State of Kuwait has three large refineries, namely, Mina Al Ahmadi Refinery, Mina Abdullah Refinery and Shuaiba Refinery. These refineries process and refine Kuwait Crude Oil through different process units. There are many heaters, boilers and flares that form a part of the complicated equipment which enhance the different petroleum processes. Fuel gas is used as a firing fuel for those heaters and boilers. As a result, stack emissions like SO2, NOx, CO are predominantly present in the flue gases and this study focuses on those emissions and their impact on the surrounding residential area. The area of interest will be Umm Al-Hyman residential area. This study accumulates emission inventories from the three refineries and the respective ground level concentration of the pollutants in the neighboring residential area. It also focuses on the impact of emissions from the refinery operations on the ground level concentrations in the surrounding areas by using the inventory model and latest emission factors to provide accurate emission estimates. The models were developed and the results were verified with the actual data from the area of impact. As a result of the findings of the major pollutants, namely SO2, NOx & CO, it is found that SO2 and CO are not exceeding Kuwait EPA Ambient Air Quality Standards for Residential Areas normally. However, NOx is observed to exceed occasionally. Even though, NOx emissions from refineries sources represented by plume models were much less, there is a consistent increase in the measured NOx. Furthermore, in 2007, the measured hourly, daily and annual NOx concentration exceeded the international standard many times. The increasing trend in NOx is attributed to continuous increase in population and the number of motor vehicles. The study will go further step in recommending engineering solutions and best practices to reduce the pollutants concentrations which will help in the reduction of human health risks and protect the environment.

Doctor of Philosophy / Department of Biological and Agricultural Engineering / Ronaldo G. Maghirang / Emission of particulate matter (PM) and various gases from open-lot beef cattle feedlots is becoming a concern because of the adverse effects on human health and the environment; however, scientific information on feedlot emissions is limited. This research was conducted to estimate emission rates of PM[subscript]10 from large cattle feedlots. Specific objectives were to: (1) determine feedlot PM[subscript]10 emission rates by reverse dispersion modeling using AERMOD; (2) compare AERMOD and WindTrax in terms of their predicted concentrations and back-calculated PM[subscript]10 emission rates; (3) examine the sensitivity of both AERMOD and WindTrax to changes in meteorological parameters, source location, and receptor location; (4) determine feedlot PM[subscript]10 emission rates using the flux-gradient technique; and (5) compare AERMOD and computational fluid dynamics (CFD) in simulating particulate dispersion from an area source. PM[subscript]10 emission rates from two cattle feedlots in Kansas were determined by reverse dispersion modeling with AERMOD using PM[subscript]10 concentration and meteorological measurements over a 2-yr period. PM[subscript]10 emission rates for these feedlots varied seasonally, with overall medians of 1.60 and 1.10 g /m[superscript]2 -day. Warm and prolonged dry periods had significantly higher PM emissions compared to cold periods. Results also showed that the PM[subscript]10 emissions had a diurnal trend; highest PM[subscript]10 emission rates were observed during the afternoon and early evening periods. Using particulate concentration and meteorological measurements from a third cattle feedlot, PM[subscript]10 emission rates were back-calculated with AERMOD and WindTrax. Higher PM[subscript]10 emission rates were calculated by AERMOD, but their resulting PM[subscript]10 emission rates were highly linear (R[superscript]2 > 0.88). As such, development of conversion factors between these two models is feasible. AERMOD and WindTrax were also compared based on their sensitivity to changes in meteorological parameters and source locations. In general, AERMOD calculated lower concentrations than WindTrax; however, the two models responded similarly to changes in wind speed, surface roughness, atmospheric stability, and source and receptor locations. The flux-gradient technique also estimated PM[subscript]10 emission rates at the third cattle feedlot. Analyses of PM[subscript]10 emission rates and meteorological parameters indicated that PM[subscript]10 emissions at the feedlot were influenced by friction velocity, sensible heat flux, temperature, and surface roughness. Based on pen surface water content measurements, a water content of at least 20% (wet basis) significantly lowered PM[subscript]10 emissions at the feedlot. The dispersion of particulate from a simulated feedlot pen was predicted using CFD turbulence model ([kappa]-[epsilon] model) and AERMOD. Compared to CFD, AERMOD responded differently to wind speed setting, and was not able to provide detailed vertical concentration profiles such that the vertical concentration gradients at the first few meters from the ground were negligible. This demonstrates some limitations of AERMOD in simulating dispersion for area sources such as cattle feedlots and suggests the need to further evaluate its performance for area source modeling.

Submitted by Johnny Rodrigues (johnnyrodrigues@ufcg.edu.br) on 2018-03-20T14:01:59Z No. of bitstreams: 1 VALÉRIO DE ARAÚJO GOMES - DISSERTAÇÃO PPGEQ 2007..pdf: 2306567 bytes, checksum: aa927c50f8346bfbe8e90901136c65fe (MD5) / Made available in DSpace on 2018-03-20T14:01:59Z (GMT). No. of bitstreams: 1 VALÉRIO DE ARAÚJO GOMES - DISSERTAÇÃO PPGEQ 2007..pdf: 2306567 bytes, checksum: aa927c50f8346bfbe8e90901136c65fe (MD5) Previous issue date: 2017 / A determinação de concentração de poluentes lançados na atmosfera é um elemento importante na previsão de impactos ambientais causados por emissões de efluentes industriais, sendo fundamental na avaliação de viabilidade de novas plantas, ou mesmo para plantas existentes. Em função da ampliação dos parques industriais e da aproximação dos centros urbanos, cada vez mais fica evidente a necessidade de dispor de dados de simulações da qualidade do ar, para tomar decisões em relação ao tipo de tratamento dos efluentes gasosos, posicionamento de plantas, projetos de chaminés (altura), e principalmente do tipo de controle e processo que será necessário para minimizar as concentrações lançadas no meio ambiente. O presente trabalho teve como objetivo, principalmente, desenvolver uma rotina aplicada as emissões de fluoreto gasoso proveniente de reduções eletrolíticas de alumínio. A referência adotada foi o modelo desenvolvido pela Environmental Research & Technology Inc. chamado BLP – Buoyant Line and Point Source (modelo fundamentado na distribuição gaussiana), aplicando algumas considerações específicas. A implementação foi realizada utilizando o Mathcad 11 Enterprise Edition. Posteriormente ao desenvolvimento foram feitas várias simulações com informações coletadas pelo programa de monitoramento de fontes estacionárias da Alumar e comparados com os dados coletados na estação de monitoramento contínuo de qualidade do ar localizada na vila de Coqueiro (intermediações do limite da fábrica, 2,500 Km). Complementarmente, também foi realizada uma simulação para comparar o resultado do modelo proposto com os resultados do CALPUFF (software comercial referendado pela EPA – Environmental Protection Agency) que foi utilizado durante a elaboração do estudo de impacto ambiental da complementação da sala de cubas – linha 3. O modelo proposto apresentou uma correlação de 82% com os dados históricos coletados na estação localizada na vila de Coqueiro e um erro de 4,35% quando comparado com as simulações do CALPUFF. / The determination of the pollutants concentration released into the atmosphere is an important element in the prediction of environmental impacts caused by emissions from industrial effluents, being fundamental in the feasibility evaluation of new plants, or even for existing plants. Due to the industrial parks expansion and the approximation of urban centers, it is increasingly evident that there is a need for air quality simulation data to make decisions regarding the type of treatment of gaseous effluents, plant positioning, chimneys dimensions (height), and especially of the type of control and process that will be necessary to minimize the concentrations released in the environment. The main objective of this work was to develop a routine applied to the emission of gaseous fluoride from electrolytic smelting of aluminum. The reference adopted was the model developed by Environmental Research & Technology Inc called BLP - Buoyant Line and Point Source (model based on the Gaussian distribution), applying some specific considerations. The implementation was performed using Mathcad 11 Enterprise Edition. After the development, several simulations were carried out with information collected by Alumar's stationary source monitoring program and compared to the data collected at the continuous air quality monitoring station located in the village of Coqueiro (distant 2,500 km). In addition, simulations were also carried out to compare the results of the proposed model with the results from CALPUFF (commercial software endorsed by the EPA - Environmental Protection Agency) that was used during the elaboration of the environmental impact study of the complementation of the potroom - line 3. The proposed model presented a correlation of 82% with the historical data collected at the station located in the village of Coqueiro and an error of 4.35% when compared to the simulations of the CALPUFF.