This study investigates the relationship between three types of retail, Big Box, traditional and online retail, and their transportation related emissions. The study takes a comprehensive approach by examining both the consumer and freight emissions associated with each retail type. The retail environment has been evolving dramatically over the past 60 years, and this has many effects on an urban environment that are important for urban planners to understand. Although retail can influence the city in many different ways, this study isolates transportation. Using case studies in the Greater Toronto Area and the Transportation Tomorrow Survey, a scenario model is applied to compare the retail types. The key influences examined in the scenarios that alter consumer related emissions are return rate, the number of items bought, trips where no items are bought, trip chaining and browsing before buying online. The key influences on freight transportation are the not at home delivery scenario and the number of items delivered. The results show that as a base case, Big Box retail has the largest emissions, traditional retail the second largest and online retail the smallest emissions. Consumer transportation has a larger impact on the total emissions than freight transportation, which is the main reason Big Box retail has the largest emissions. However, the various scenarios examined demonstrate that the key influence can have a very large impact on the results, making it difficult to conclusively say Big Box retail has the largest emissions associated with it. Conclusions that can be drawn from this study for urban planners are that for physical retail, traditional style retail tends to have smaller emissions. As well, the key influences, in particular those associated with consumer behavior, have the potential to greatly reduce emissions. Therefore, strategies to influence consumer behavior should be explored.

In emissions catalyst applications, an axial distribution of reaction, surface chemistry, and temperature all exist on or along the surface of the catalyst. Understanding these distributions is very important in developing physically relevant models of such systems. One focus of this work was developing a technique to obtain accurate temperature measurements from a catalyst during exothermic or endothermic reaction steps. IR thermography was tested as a method to evaluate spatial temperature distributions as a function of time on a diesel NOX adsorber catalyst. The technique proved accurate, relatively simple to interpret and operate, and efficient to the extent it can be used for data generation. As a continuation of the technique development, the temperature changes and gradients formed during simulated operation of a Pt/Ba/Al2O3 NOX adsorber catalyst (NAC) for diesel exhaust applications were monitored using IR thermography and standard thermocouples. NACs operate in a cyclic manner; during the lean phase, when the engine is in normal operation, the catalyst traps entering NOX; once the catalyst nears saturation, the catalyst is exposed to a rich exhaust phase, in reductant relative to oxygen, where the trapped NOX is reduced to N2; and finally the exhaust returns to the normally lean conditions thereby completing the cycle. During the rich phase, previous work has suggested that significant temperature changes might be occurring along the length of the catalyst. In this study, temporally and spatially resolved temperature distributions were obtained throughout the cycle in order to evaluate the significance of these temperature changes and their effects on the reaction chemistry. The effects of (1) reactor in the possible reaction pathways, (2) CO and O2 levels in the regeneration phase, (3) NO and NO2 as the source of NOX in the lean cycle and (4) nominal operating temperature on these temperature distributions were evaluated. The temperature gradient and distribution measurements are being used to characterize the reactions and as input into models.

Since 1970, vehicle’s exhaust pollutions have received increasing attention as a source of air pollution at both local (human health concerns) and global (global warming) scales. This study mainly discusses diesel and gasoline vehicles because, today, over 90% of vehicles on the road use gasoline and diesel fuels. The major concerns of gasoline exhaust contaminants are carbon monoxide (CO), hydrocarbon (HC), carbon dioxide (CO2) and polycyclic aromatic hydrocarbons (PAHs); the major concerns of diesel exhaust emissions contaminants are nitrogen oxides (NOX) and particulate matter (PM). The aim of this study is mainly to compare gasoline and diesel fuels, and to determine which fuel and its developed forms are less harmful to humans, and which are most suitable for the natural environment at both a local and global level. The results show that burning gasoline fuels will emit less PM and NOX emissions than burning diesel fuels, but it will generate about 50% more CO2 than diesel fuels, and it also emit about ten times more CO, PAHs and around five times more HC than diesel fuels; burning diesel fuels will produce less CO2 emissions than gasoline fuels, but will emit around ten times more NOX and PM than gasoline fuels. Consequently using a gasoline car in urban areas might help to reduce the human health effects; using a diesel car on motorways or in rural areas might help to reduce the greenhouse gas (GHG) emissions and minimize the global warming effects. Biofuels, biodiesel and ethanol, have the potential to minimize the vehicle exhaust emissions and adverse effects. Nonetheless, there are still many debatable issues around biodiesel, such as insufficient fuel supply and health concerns (especially, ultrafine particles (UFPs)). In the future, there remains a need to continue the further studies of vehicle exhaust emissions, and to improve the understanding of all vehicle exhaust emissions and all of their impacts, especially the vehicle exhaust health research.

In emissions catalyst applications, an axial distribution of reaction, surface chemistry, and temperature all exist on or along the surface of the catalyst. Understanding these distributions is very important in developing physically relevant models of such systems. One focus of this work was developing a technique to obtain accurate temperature measurements from a catalyst during exothermic or endothermic reaction steps. IR thermography was tested as a method to evaluate spatial temperature distributions as a function of time on a diesel NOX adsorber catalyst. The technique proved accurate, relatively simple to interpret and operate, and efficient to the extent it can be used for data generation. As a continuation of the technique development, the temperature changes and gradients formed during simulated operation of a Pt/Ba/Al2O3 NOX adsorber catalyst (NAC) for diesel exhaust applications were monitored using IR thermography and standard thermocouples. NACs operate in a cyclic manner; during the lean phase, when the engine is in normal operation, the catalyst traps entering NOX; once the catalyst nears saturation, the catalyst is exposed to a rich exhaust phase, in reductant relative to oxygen, where the trapped NOX is reduced to N2; and finally the exhaust returns to the normally lean conditions thereby completing the cycle. During the rich phase, previous work has suggested that significant temperature changes might be occurring along the length of the catalyst. In this study, temporally and spatially resolved temperature distributions were obtained throughout the cycle in order to evaluate the significance of these temperature changes and their effects on the reaction chemistry. The effects of (1) reactor in the possible reaction pathways, (2) CO and O2 levels in the regeneration phase, (3) NO and NO2 as the source of NOX in the lean cycle and (4) nominal operating temperature on these temperature distributions were evaluated. The temperature gradient and distribution measurements are being used to characterize the reactions and as input into models.

Understanding uncertainty in emissions inventories is critical for evaluating both air quality modeling results as well as impacts of emissions reduction strategies. This study focused on quantification of uncertainty due to non-road emissions specifically for the state of Georgia using the EPA NONROAD emissions model. Nonroad engines contribute significantly to anthropogenic emissions inventories, with national estimates for various criteria pollutants ranging from 14% to 22%. The NONROAD model is designed to estimate emissions for any area in the United States based on population, activity, and emissions data. Information used in the model comes from a variety of sources collected over many years. A sensitivity analysis of the model determined the input variables that have significant effects on emissions. Results showed that model estimated emissions are significantly sensitive to increases in equipment population, activity, load factor, and emission factor. Increases in ambient temperature, fuel RVP, fuel sulfur (except on SO2), and average useful life have smaller effects. Emissions and activity data used in the NONROAD model were analyzed using statistical techniques to quantify uncertainty in the input parameters. Expert elicitation was also used to estimate uncertainties in emission factors, equipment population, activity, load factors, and geographic allocations of the emissions to the county level. A Monte Carlo approach using the derived parameter uncertainties and different input probability distributions was used to estimate the overall uncertainty of emissions from the NONROAD model for the state of Georgia. The uncertainties resulting from this analysis were significant, with 95% confidence intervals about the mean ranging from ?? to +61% for THC, -46 to +68% for NOx, -43% to 75% for CO, and ?? to +75% for PM. The sensitivity of ozone and CO for different regions in Georgia to NONROAD emissions in Georgia was also estimated. The analysis suggests that uncertainties in ozone and CO simulations due to NONROAD emissions uncertainties, averaged over the regions of interest, are not large, with resulting maximum coefficients of variation of 1% and 10% respectively.

In the United Sates and around the world, electric power plants are among the biggest sources of greenhouse gas emissions which the Intergovernmental Panel on Climate Change argued was the main cause of climate change and global warming. This dissertation explores the factors which may induce electricity producers to use biomass fuels for power generation and thereby mitigate the impact of greenhouse gas emissions. Analyses in this dissertation suggest that there are two important factors which will play a major role in determining the future degree of bioelectricity production: the price of coal and the future price of carbon emissions. Using The Forest and Agricultural Sector Optimization Model—Green House Gas version (FASOMGHG) in a case study examining the competitiveness of crop residues, this dissertation finds that crop residues currently cost much more than coal as an electricity generation feedstock because they have lower heat content and higher production /hauling costs. For them to become cost competitive with coal, the combined costs of production and hauling must be cut by more than half or the coal price needs to rise. In particular, for crop residues to have any role in electricity generation either the price of coal has to increase to about $43 per ton or the carbon equivalent price must rise to about $15 per ton. The simulation results also show that crop residues with higher heat content such as wheat residues will have greater opportunities in bioelectricity production than the residues with lower heat content. In addition, the analysis shows that improvements in crop yield do not have much impact on bioelectricity production. However, the energy recovery efficiency does have significant positive impact on the bioelectricity desirability but again only if the carbon equivalent price rises substantially. The analysis also shows the desirability of cofiring biomass as opposed to 100% replacement because this reduces haling costs and increases the efficiency of heat recovery. In terms of policy implications, imposing carbon emission restrictions could be an important step in inducing electric power producers to include biofuels in their fuelmix power generation portfolios and achieve significant greenhouse gas emission reductions.

In this dissertation I will present and test a model linking actual applicant-interviewer demographic, human capital, and cultural capital similarity to an interviewer's recommendation to hire. Actual similarity is proposed to influence an interviewer's perceptions of similarity with an applicant. These perceptions, in turn, lead to the interviewer's perceptions of the applicant's Person-Organization (PO) fit and the applicant's Person-Job (PJ) fit. Two main mechanisms are proposed to mediate the relationship between an interviewer's perceptions of similarity and an interviewer's perceptions of an applicant's fit: liking and negative behavioral expectations. Lastly, both an interviewer's PO and PJ fit perceptions of an applicant are posited to influence the interviewer's recommendation to hire. A total of 118 interviewer-applicant dyads contacted through the Career Center Office at a University located in the southwestern United States participated in the study. Results partially support the model. An interviewer's perceptions of similarity with an applicant are positively related to an interviewer's fit evaluations. An interviewer's negative behavioral expectations of an applicant mediate this relationship. Furthermore, perceived similarity is positively related to an interviewer's liking of an applicant. In turn, liking is positively related to an interviewer's PO fit perceptions. However, liking does not function as a mediator between perceived similarity and fit evaluations. Finally, fit evaluations are positively related to hiring recommendations. I discuss the main implications of the study as well as strengths, limitations, and future research.

To characterize low-pressure, brittle deformation in porous, granular rock, notchcut cylinders (30 mm neck diameter) of Berea Sandstone were extended in a triaxial apparatus from 10 to 160 MPa confining pressure at strain rates of 10-4 s-1 and 10-5 s-1. Acoustic emission counts were monitored when extending samples at a slow strain rate. Stress at fracture is characterized by the least compressive principal stress, ??3, and maximum compressive principal stress, ??1 (??1 = Pc). A change in strength dependence on pressure at Pc = 50 MPa corresponds to a change from pure macroscopic extension fracture to mixed-mode opening and shear fracture, and likely reflects the increase in mean stress that suppresses the propagation of extension fractures and the interaction between closely-spaced stepped cracks. Within the extension fracture regime (Pc < 50 MPa), ??3 at failure becomes slightly more tensile with an increase in Pc. At Pc > 50 MPa, ??3 at failure becomes more compressive with an increase in Pc and follows Coulomb behavior; however, the angle between the fracture surface and ??1 increases continuously with Pc. Fracture surfaces characteristic of the extension to shear fracture transition appear as linked, stepped extension fractures; the length of extensional segments decreases with increasing pressure. The onset of acoustic emissions and inelastic strain at fracture occurs at earlier points in the strain history with pressure, consistent with the Griffith prediction of the beginning of fracture growth.

Die Positronen-Emissions-Tomographie (PET) ist eine etablierte Methode zur Untersuchung von Stoffwechselvorgängen im Menschen. Sie wird als Werkzeug in der medizinischen Forschung ebenso wie klinisch als Diagnoseverfahren zur Erkennung von Metastasen eingesetzt. Dieses Projekt beschäftigt sich mit einer nichtmedizinischen Anwendung dieses bildgebenden Verfahrens – dem Aufbau und der Anwendung eines PET-Tomographen zur Untersuchung des Verhaltens von Schaum in Blasensäulen, dem Versuchsstand SCHAUMPET. Insbesondere wird auf die technische Realisierung des Projektes und die angewendeten Verfahren zur Bildgewinnung eingegangen. Am Beispiel von Natriumcapronat wird gezeigt, dass sich die Anreicherung eines Tensids in einer Schaumschicht mit Hilfe der Positronen-Emissions-Tomographie nachweisen lässt.

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