Abstract: The aim of the study was to evaluate the indoor air quality (IAQ) of a semi-airtight (the building only utilises mechanical means to ventilate the occupied spaces however an airtight seal is not established as a result of infiltration due to building design) office building that is situated in central Johannesburg that exclusively uses a heating, ventilation and air-conditioning (HVAC) system for ventilation. This implies a system that only utilises mechanical ventilation to heat, cool, humidify and clean the air for comfort, safety and health of employees. This includes the control of odour levels, and also the maintenance of carbon dioxide (CO2) below stipulated levels. Methods: The building is divided into two sections; west and east. Each section has its own ventilation supply. A randomisation process was used to ascertain which offices needed to be sampled, in which section as well as on which floor. For this study, five offices per section were measured. Thus, ten offices per floor were measured and measurements were taken on every second floor. All measurements were done in accordance with the specific requirements of the manufacturer of any specific instrument used and measurements were taken over an eight hour period (full work shift). Results were compared to the available standard, as well as compared to the ambient concentrations. Results: None of the monitored contaminants’ concentration were above the provided standards (ASHRAE or ACGIH). Where standards were unavailable, the HVAC system maintained an indoor contaminant concentration that is substantially lower when compared to the outdoor air concentrations. Conclusion: The buildings’ HVAC system maintains indoor air quality at a healthy level it is unlikely that any one of these contaminants may lead to SBS amongst the employees. / MSc (Occupational Hygiene), North-West University, Potchefstroom Campus, 2014

People spend major part of their life indoors – at home or in other public or private indoor environments. Clean air in the living environment is very important for the public health. Indoor air quality (IAQ) is largely dependent on the outdoor air quality, due to the continuous indoor air mixing with the ambient air. However, air pollutants in buildings are strongly linked to building indoor factors as well (emissions from building structure, fabrics, coating, furnishing, ventilation system, food preparation, occupant activities etc.). Building renovation is mostly based on economic aspects – performing cost-effective refurbishment actions assuming further savings in energy costs, without taking into account possible changes in air quality conditions. Therefore, a natural question arises whether it will be possible to ensure a comfortable and healthy living for occupants. There is a lack of methodologically robust intervention studies that support the improvement of energy efficiency measures by means of improved IAQ. It is also important to improve the knowledgebase in order to support the implementation of the related policies in Europe. In this context, overview of the results from before and after intervention measurements and emissions from building materials were presented, and the implications on IAQ were discussed. The results of the research provide data for the technical and administrative measures for the improvement of IAQ in residential buildings. / Žmonės įprastai praleidžia didžiąją dalį savo laiko patalpose - namuose ar kitų valstybinių ir privačių patalpų aplinkoje. Švaraus oro užtikrinimas gyvenamojoje aplinkoje yra labai svarbus visuomenės sveikatai. Oro teršalai patalpose yra glaudžiai susiję su pastato viduje vykstančiais procesais (emisijos iš pastato konstrukcijos, apdailos medžiagų, buitinių cheminių priemonių, ventiliacijos sistemos, maisto ruošos, gyventojų aktyvumo ir t.t.). Dėl nuolatinio vidaus oro maišymosi su išorės aplinkos oru, patalpų oro kokybė yra taip pat smarkiai įtakojama išorės oro kokybės. Pastatų renovacija daugiausia yra grindžiama ekonominiu aspektu. Atliekant ekonominius pastatų atnaujinimo veiksmus, paremtus didesniu energijos sąnaudų taupymu, neatsižvelgiama į galimus oro kokybės pokyčius. Todėl kyla natūralus klausimas ar po šių procesų pavyks užtikrinti patogią ir sveiką gyvenseną. Šiuo metu yra stygius metodologiškai stiprių mokslinių tyrimų, kurie nagrinėja energijos efektyvumo priemonių didinimo įtaką patalpų oro kokybei. Atsižvelgiant į tai, šiame darbe yra aptariami gauti rezultatai iš oro kokybės tyrimų daugiabučiuose pastatuose jų eksploatacijos metu bei aerozolio dalelių emisijos iš statybinių medžiagų pastato statybos ir atnaujinimo metu. Taip pat parengtos rekomendacijos daugiabučių pastatų atnaujinimui ir eksploatacijai, užtikrinant sveiką patalpų oro kokybę. Tyrimo rezultatai suteikia svarbios informacijos tiek techninėms, tiek ir administracinėms priemonėms, skirtoms... [toliau žr. visą tekstą]

State Air Pollution Regulation Agencies (SAPRAs) issue and enforce permits that limit particulate matter emissions from all sources including layer and broiler facilities, cattle feedyards, dairies, cotton gins, and grain elevators. In this research, a process was developed to determine distances from emitting sources to where the estimated concentrations were less than the National Ambient Air Quality Standards (NAAQS). These distances are a function of emission rates and meteorological conditions. Different protocols were used to develop emission factors for cattle feedyards and layer houses. Dispersion modeling with American Meteorological Society/Environmental Protection Agency Regulatory Model (AERMOD) was conducted to determine the emissions of particulate matter. These data were used to determine the distances from the sources to where the concentrations of particulate matter (PM) would be less than the NAAQS. The current air-permitting process requires that concentrations from a source do not exceed the NAAQS at the property line and beyond for the facility to be in compliance with its permit conditions. Emission factors for particulate matter less than 10 micrometers (PM10) were developed for cattle feedyards using a reverse modeling protocol and Tapered Element Oscillating Microbalance (TEOM) sampler data. Corrections were applied to the TEOM measurements to account for TEOM vs. filter-based low-volume (FBLV) sampler bias and over-sampling of PM10 pre-collectors. Invalid concentrations and dust peaks larger than mean ± 3 times the standard deviation were excluded from this study. AERMOD predictions of downwind concentrations at cotton gins were observed for compliance with 24-hour PM10 and PM2.5 NAAQS at property lines. The emissions from three cotton gins were analyzed at 50 m and 100 m distances. TEOM and FBLV samplers were used to collect 24-hour PM10 measurements inside a laying hen house. The distances to the property lines at which the emissions of PM10 were below the 24-hour average PM10 standards were estimated using AERMOD. The results suggested that the special use of the NAAQS for as the property-line concentration not to be exceeded, could be problematic to agriculture. Emission factors that were comparable of published emission factors were obtained in this study. Large distances to property lines were required when minimum flow rate recommendations were not considered. Emission factors that are representative of the emissions in a particular facility are essential; else facilities could be inappropriately regulated.

High Occupancy Toll (HOT) lanes were recently proposed for I-85 in Atlanta as a way to relieve congestion and provide a reliable commute time for single occupant drivers that are willing to pay a toll. It is important to evaluate the air quality impacts of such a proposal to meet environmental regulations, such as the National Environmental Policy Act (NEPA) and Transportation Conformity Regulations. The goal of this study is to understand how vehicle mass emissions change as a result of implementing HOT lanes on I-85 in Atlanta . This is done by considering a number of factors affect mass vehicle emissions, such as vehicle activity, vehicle speeds, vehicle age distributions, and vehicle class distributions. These factors are incorporated into a base scenario, which models the current condition on I-85 with HOV lanes, and a future scenario, which models the implementation of HOT lanes on this corridor. The base scenario mainly uses data from a data collection effort by Georgia Tech during the summer of 2007 on the I-85 corridor, while the future scenario makes alterations to these data using information from other cities that have already implemented HOT lanes. The MOBILE-Matrix modeling tool, which was recently developed by Georgia Tech [16], was used to run the emissions analysis using the input factors from these data sources. This tool calculated mass emissions for five pollutants: HC, NOx, CO, PM2.5, and PM10. The results show very small increases in mass emissions for NOx, CO, PM2.5, and PM10, and very small decreases in mass emissions for HC. Therefore, the implementation of HOT lanes on I-85 in Atlanta is unlikely to violate the Transportation Conformity Rule. For NEPA purposes, this analysis could be used to make the case that air quality impacts are not significant, and therefore further detailed analyses are not required.

The understanding of human exposure to indoor particles of all sizes is important to enable exposure control and reduction, but especially for smaller particles since the smaller particles have a higher probability of penetration into the deeper parts of the respiratory tract and also contain higher levels of trace elements and toxins. Due to the limited understanding of the relationship between particle size and the health effects they cause, as well as instrument limitations, the available information on submicrometer (d < 1.0 µm) particles indoors, both in terms of mass and number concentrations, is still relatively limited. This PhD project was conducted as part of the South-East Queensland Air Quality program and Queensland Housing Study aimed at providing a better understanding of ambient particle concentrations within the indoor environment with a focus on exposure assessment and control. This PhD project was designed to investigate comprehensively the sources and sinks of indoor aerosol particles and the relationship between indoor and outdoor aerosol particles, particle and gaseous pollutant, as well as the association between indoor air pollutants and house characteristics by using, analysing and interpreting existing experimental data which were collected before this project commenced, as well as data from additional experiments which were designed and conducted for the purpose of this project. The focus of this research was on submicrometer particles with a diameter between 0.007 - 0.808 µm. The main outcome of this project may be summarised as following: * A comprehensive review of particle concentration levels and size distributions characteristics in the residential and non-industrial workplace environments was conducted. This review included only those studies in which more general trends were investigated, or could be concluded based on information provided in the papers. This review included four parts: 1) outdoor particles and their effect on indoor environments; 2) the relationship between indoor and outdoor concentration levels in the absence of indoor sources for naturally ventilated buildings; 3) indoor sources of particles: contribution to indoor concentration levels and the effect on I/O ratios for naturally ventilated buildings; and 4) indoor/outdoor relationship in mechanically ventilated buildings. * The relationship between indoor and outdoor airborne particles was investigated for sixteen residential houses in Brisbane, Australia, in the absence of operating indoor sources. Comparison of the ratios of indoor to outdoor particle concentrations revealed that while temporary values of the ratio vary in a broad range from 0.2 to 2.5 for both lower and higher ventilation conditions, average values of the ratios were very close to one regardless of ventilation conditions and of particle size range. The ratios were in the range from 0.78 to 1.07 for submicrometer particles, from 0.95 to 1.0 for supermicrometer particles and from 1.01 to 1.08 for PM2.5 fraction. Comparison of the time series of indoor to outdoor particle concentrations showed a clear positive relationship existing for many houses under normal ventilation conditions (estimated to be about and above 2 h-1), but not under minimum ventilation conditions (estimated to be about and below 1 h-1). These results suggest that for normal ventilation conditions and in the absence of operating indoor sources, outdoor particle concentrations could be used to predict instantaneous indoor particle concentrations but not for minium ventilation, unless air exchange rate is known, thus allowing for estimation of the "delay constant". * Diurnal variation of indoor submicrometer particle number and particle mass (approximation of PM2.5) concentrations was investigated in fifteen of the houses. The results show that there were clear diurnal variations in both particle number and approximation of PM2.5 concentrations, for all the investigated houses. The pattern of diurnal variations varied from house to house, however, there was always a close relationship between the concentration and human indoor activities. The average number and mass concentrations during indoor activities were (18.2±3.9)×10³ particles cm-³ and (15.5±7.9) µg m-³ respectively, and under non-activity conditions, (12.4±2.7)x10³ particles cm-³ (11.1±2.6) µg m-³, respectively. In general, there was a poor correlation between mass and number concentrations and the correlation coefficients were highly variable from day to day and from house to house. This implies that conclusions cannot be drawn about either one of the number or mass concentration characteristics of indoor particles, based on measurement of the other. The study also showed that it is unlikely that particle concentrations indoors could be represented by measurements conducted at a fixed monitoring station due to the large impact of indoor and local sources. * Emission characteristics of indoor particle sources in fourteen residential houses were quantified. In addition, characterizations of particles resulting from cooking conducted in an identical way in all the houses were measured. All the events of elevated particle concentrations were linked to indoor activities using house occupants diary entries, and catalogued into 21 different types of indoor activities. This enabled quantification of the effect of indoor sources on indoor particle concentrations as well as quantification of emission rates from the sources. For example, the study found that frying, grilling, stove use, toasting, cooking pizza, smoking, candle vaporizing eucalyptus oil and fan heater use, could elevate the indoor submicrometer particle number concentration levels by more than 5 times, while PM2.5 concentrations could be up to 3, 30 and 90 times higher than the background levels during smoking, frying and grilling, respectively. * Indoor particle deposition rates of size classified particles in the size range from 0.015 to 6 µm were quantified. Particle size distribution resulting from cooking, repeated under two different ventilation conditions in 14 houses, as well as changes to particle size distribution as a function of time, were measured using a scanning mobility particle sizer (SMPS), an aerodynamic particle sizer (APS), and a DustTrak. Deposition rates were determined by regression fitting of the measured size-resolved particle number and PM2.5 concentration decay curves, and accounting for air exchange rate. The measured deposition rates were shown to be particle size dependent and they varied from house to house. The lowest deposition rates were found for particles in the size range from 0.2 to 0.3 µm for both minimum (air exchange rate: 0.61±0.45 h-1) and normal (air exchange rate: 3.00±1.23 h-1) ventilation conditions. The results of statistical analysis indicated that ventilation condition (measured in terms of air exchange rate) was an important factor affecting deposition rates for particles in the size range from 0.08 to 1.0 µm, but not for particles smaller than 0.08 µm or larger than 1.0 µm. Particle coagulation was assessed to be negligible compared to the two other processes of removal: ventilation and deposition. This study of particle deposition rates, the largest conducted so far in terms of the number of residential houses investigated, demonstrated trends in deposition rates comparable with studies previously reported, usually for significantly smaller samples of houses (often only one). However, the results compare better with studies which, similarly to this study, investigated cooking as a source of particles (particle sources investigated in other studies included general activity, cleaning, artificial particles, etc). * Residential indoor and outdoor 48 h average levels of nitrogen dioxide (NO2), 48h indoor submicrometer particle number concentration and the approximation of PM2.5 concentrations were measured simultaneously for fourteen houses. Statistical analyses of the correlation between indoor and outdoor pollutants (NO2 and particles) and the association between house characteristics and indoor pollutants were conducted. The average indoor and outdoor NO2 levels were 13.8 ± 6.3 ppb and 16.7 ± 4.2 ppb, respectively. The indoor/outdoor NO2 concentration ratio ranged from 0.4 to 2.3, with a median value of 0.82. Despite statistically significant correlations between outdoor and fixed site NO2 monitoring station concentrations (p = 0.014, p = 0.008), there was no significant correlation between either indoor and outdoor NO2 concentrations (p = 0.428), or between indoor and fixed site NO2 monitoring station concentrations (p = 0.252, p = 0.465,). However, there was a significant correlation between indoor NO2 concentration and indoor submicrometer aerosol particle number concentrations (p = 0.001), as well as between indoor PM2.5 and outdoor NO2 (p = 0.004). These results imply that the outdoor or fixed site monitoring concentration alone is a poor predictor of indoor NO2 concentration. * Analysis of variance indicated that there was no significant association between indoor PM2.5 and any of the house characteristics investigated (p > 0.05). However, associations between indoor submicrometer particle number concentration and some house characteristics (stove type, water heater type, number of cars and condition of paintwork) were significant at the 5% level. Associations between indoor NO2 and some house characteristics (house age, stove type, heating system, water heater type and floor type) were also significant (p < 0.05). The results of these analyses thus strongly suggest that the gas stove, gas heating system and gas water heater system are main indoor sources of indoor submicrometer particle and NO2 concentrations in the studied residential houses. The significant contributions of this PhD project to the knowledge of indoor particle included: 1) improving an understanding of indoor particles behaviour in residential houses, especially for submicrometer particle; 2) improving an understanding of indoor particle source and indoor particle sink characteristics, as well as their effects on indoor particle concentration levels in residential houses; 3) improving an understanding of the relationship between indoor and outdoor particles, the relationship between particle mass and particle number, correlation between indoor NO2 and indoor particles, as well as association between indoor particle, NO2 and house characteristics.

Economic development brings about urbanisation which may result in rapid housing expansion. The health and well-being of communities is often not considered as a priority of urbanisation with the pressure for developing better economies. Sustainability principles in housing developments are perceived to be able to enhance and to improve the quality of living. The approach to sustainability can, however, be interpreted and prioritised differently. Many developing countries such as Malaysia are depending upon industrialisation for the development of their economies. Continuing urbanisation and industrialisation in these countries indirectly creates tensions between the need for a better built environment, and the push for economic growth. One specific phenomena in Malaysia is the introduction of the mixed-use urban neighbourhood, whereby residential development is netsled within the industrial establishments. On one hand, this helps to create job opportunities and improve the local economy. On the other, it creates concerns in the relations to the house planning, and to the well-being of the residents. These have potential exposures to industrial activities that are associated with environmental problems, such as, poor air quality, local temperature increases, and excessive noise levels. This research applied the current international trends of sustainability practices in housing development in searching for the most appropriate strategies for developing sustainable residential-industrial neighborhoods. Cross reference to other countries strategies and experiences can be adaptation for Malaysian conditions. A residential-industrial community in the city of Pasir Gudang Johor, Malaysia, has been selected as a case study in order to examine the perceived problems of indoor environmental quality in such environments. The result of a questionnaire survey and in-situ measurement indicates that they are facing indoor environmental problems. A set of recommendations for housing guidelines which are tailored for local Malaysians conditions have been identified, and have potential for improving the housing development guidelines and policies for mixed-use community living. Comprehensive strategies will need to be developed to achieve housing development sustainability goals. The development of Master Planned Communities (MPC's) is suggested to be appropriate mechanism to developing planning controls. This will ensure the improvement of indoor environmental quality of living in residential-industrial housing developments in Malaysia. It is anticipated that this research will make a positive contribution to developing decision-making procedures that are appropriate to achieving the goals of sustainable housing development in relation to mixed-used residential housing, It is also expected that this research will assist in establishment of a unified national sustainable housing strategy, and in the rationalised adoption of a master planned community approach.

Doctor of Philosophy(PhD) / Abstract This thesis employs a statistical regression method to estimate models for testing the hypothesis of the thesis of vehicle emissions interdependencies. The thesis at the beginnings, reviews critically the formation of emissions in gasoline-fuelled engines, and also reviews existing and emerging models of automotive emissions. The thesis then, presents the relationships between the urban transport system and vehicle emissions. Particularly, it summarises different types of emissions and the contributory factors of the urban transport system to such emissions. Subsequently, the thesis presents the theory of vehicle emissions interdependencies and the empirical framework for testing the hypothesis of the thesis. The scope of testing the hypothesis of the thesis is only limited to gasoline-fuelled conventional vehicles in the urban transport environment. We use already available laboratory-based testing dataset of 542 passenger vehicles, to investigate the hypothesis of the thesis of vehicle emissions interdependencies. HC, CO, and NOX emissions were collected under six test drive-cycles, for each vehicle before and after vehicles were tuned. Prior to using any application, we transform the raw dataset into actionable information. We use three steps, namely conversion, cleaning, and screening, to process the data. We use classification and regression trees (CART) to narrow down the input number of variables in the models formulated for investigating the hypothesis of the thesis. We then, utilise initial results of the analysis to fix any remaining problems in the data. We employ three stage least squares (3SLS) regression to test the hypothesis of the thesis, and to estimate the maximum likelihood of vehicle variables and other emissions to influence HC, CO, and NOX emissions simultaneously. We estimate twelve models, each of which consists of a system of three simulations equations that accounts for the endogenous relations between HC, CO and NOX emissions when estimating vehicle emissions simultaneously under each test drive-cycle. The major contribution of the thesis is to investigate the inter-correlations between vehicle emissions within a well controlled data set, and to test the hypothesis of vehicle emissions interdependencies. We find that HC, CO, and NOX are endogenously or jointly dependent in a system of simultaneous-equations. The results of the analysis demonstrate that there is strong evidence against the null hypothesis (H0) in favour of the alternative hypothesis (H1) that HC, CO, and NOX are statistically significantly interdependent. We find, for the thesis sample, that NOX and CO are negatively related, whereas HC and CO emissions are positively related, and HC and NOX are positively related. The results of the thesis yield new insights. They bridge a very important gap in the current knowledge on vehicle emissions. They advance not only our current knowledge that HC, CO, and NOX should be predicted jointly since they are produced jointly, but also acknowledge the appropriateness of using 3SLS regression for estimating vehicle emissions simultaneously. The thesis measures the responses of emissions to changes with respect to changes in the other emissions. We investigate emission responses to a one percent increase in an emission with respect to the other emissions. We find the relationship between CO and NOX is of special interest. After vehicles were tuned, we find those vehicles that exhibit a one percent increase in NOX exhibit simultaneously a 0.35 percent average decrease in CO. Similarly, we find that vehicles which exhibit a one percent increase in CO exhibit simultaneously a 0.22 percent average decrease in NOX. We find that the responses of emission to changes with respect to other emissions vary with various test drive-cycles. Nonetheless, a band of upper and lower limits contains these variations. After vehicle tuning, a one percent increase in HC is associated with an increase in NOX between 0.5 percent and 0.8 percent, and an increase in CO between 0.5 percent and one percent Also, for post-tuning vehicles, a one percent increase in CO is associated with an increase in HC between 0.4 percent and 0.9 percent, and a decrease in NOX between 0.07 percent and 0.32 percent. Moreover, a one percent increase in NOX is associated with increase in HC between 0.8 percent and 1.3 percent, and a decrease in CO between 0.02 percent and 0.7 percent. These measures of the responses are very important derivatives of the hypothesis investigated in the thesis. They estimate the impacts of traffic management schemes and vehicle operations that target reducing one emission, on the other non-targeted emissions. However, we must be cautious in extending the results of the thesis to the modern vehicles fleet. The modern fleet differs significantly in technology from the dataset that we use in this thesis. The dataset consists of measurements of HC, CO, and NOX emissions for 542 gasoline-fuelled passenger vehicles, under six test drive-cycles, before and after the vehicles were tuned. Nevertheless, the dataset has a number of limitations such as limited model year range, limited representations of modal operations, and limitations of the measurements of emissions based only on averages of test drive-cycles, in addition to the exclusion of high-emitter emission measurements from the dataset. The dataset has a limited model year range, i.e., between 1980 and 1991. We highlight the age of the dataset, and acknowledge that the present vehicle fleet varies technologically from the vehicles in the dataset used in this thesis. Furthermore, the dataset has a limited number of makes - Holden, Ford, Toyota, Nissan, and Mitsubishi. There are also a limited number of modal operations. The model operations presented in the dataset are cold start, warming-up, and hot stabilised driving conditions. However, enrichment episodes are not adequately presented in the test-drive cycles of the dataset. Moreover, the dataset does not take into account driving behaviour influences, and all measurements are cycle-based averages. The emission measurements of laboratory-based testings are aggregated over a test drive cycle, and the test drive-cycle represents an average trip over an average speed. The exclusion of the measurements of high emitting vehicles from the dataset introduces further limitations. Remote sensing studies show that 20 percent of the on-road vehicle fleet is responsible for 80 percent of HC and CO emissions. The findings of the thesis assist in the identification of the best strategies to mitigate the most adverse effects of air-pollution, such as the most severe pollution that have the most undesirable pollution effects. Also, they provide decision-makers with valuable information on how changes in the operation of the transport system influence the urban air-quality. Moreover, the thesis provides information on how vehicle emissions affect the chemistry of the atmosphere and degrade the urban air-quality.

Doctor of Philosophy(PhD) / Abstract This thesis employs a statistical regression method to estimate models for testing the hypothesis of the thesis of vehicle emissions interdependencies. The thesis at the beginnings, reviews critically the formation of emissions in gasoline-fuelled engines, and also reviews existing and emerging models of automotive emissions. The thesis then, presents the relationships between the urban transport system and vehicle emissions. Particularly, it summarises different types of emissions and the contributory factors of the urban transport system to such emissions. Subsequently, the thesis presents the theory of vehicle emissions interdependencies and the empirical framework for testing the hypothesis of the thesis. The scope of testing the hypothesis of the thesis is only limited to gasoline-fuelled conventional vehicles in the urban transport environment. We use already available laboratory-based testing dataset of 542 passenger vehicles, to investigate the hypothesis of the thesis of vehicle emissions interdependencies. HC, CO, and NOX emissions were collected under six test drive-cycles, for each vehicle before and after vehicles were tuned. Prior to using any application, we transform the raw dataset into actionable information. We use three steps, namely conversion, cleaning, and screening, to process the data. We use classification and regression trees (CART) to narrow down the input number of variables in the models formulated for investigating the hypothesis of the thesis. We then, utilise initial results of the analysis to fix any remaining problems in the data. We employ three stage least squares (3SLS) regression to test the hypothesis of the thesis, and to estimate the maximum likelihood of vehicle variables and other emissions to influence HC, CO, and NOX emissions simultaneously. We estimate twelve models, each of which consists of a system of three simulations equations that accounts for the endogenous relations between HC, CO and NOX emissions when estimating vehicle emissions simultaneously under each test drive-cycle. The major contribution of the thesis is to investigate the inter-correlations between vehicle emissions within a well controlled data set, and to test the hypothesis of vehicle emissions interdependencies. We find that HC, CO, and NOX are endogenously or jointly dependent in a system of simultaneous-equations. The results of the analysis demonstrate that there is strong evidence against the null hypothesis (H0) in favour of the alternative hypothesis (H1) that HC, CO, and NOX are statistically significantly interdependent. We find, for the thesis sample, that NOX and CO are negatively related, whereas HC and CO emissions are positively related, and HC and NOX are positively related. The results of the thesis yield new insights. They bridge a very important gap in the current knowledge on vehicle emissions. They advance not only our current knowledge that HC, CO, and NOX should be predicted jointly since they are produced jointly, but also acknowledge the appropriateness of using 3SLS regression for estimating vehicle emissions simultaneously. The thesis measures the responses of emissions to changes with respect to changes in the other emissions. We investigate emission responses to a one percent increase in an emission with respect to the other emissions. We find the relationship between CO and NOX is of special interest. After vehicles were tuned, we find those vehicles that exhibit a one percent increase in NOX exhibit simultaneously a 0.35 percent average decrease in CO. Similarly, we find that vehicles which exhibit a one percent increase in CO exhibit simultaneously a 0.22 percent average decrease in NOX. We find that the responses of emission to changes with respect to other emissions vary with various test drive-cycles. Nonetheless, a band of upper and lower limits contains these variations. After vehicle tuning, a one percent increase in HC is associated with an increase in NOX between 0.5 percent and 0.8 percent, and an increase in CO between 0.5 percent and one percent Also, for post-tuning vehicles, a one percent increase in CO is associated with an increase in HC between 0.4 percent and 0.9 percent, and a decrease in NOX between 0.07 percent and 0.32 percent. Moreover, a one percent increase in NOX is associated with increase in HC between 0.8 percent and 1.3 percent, and a decrease in CO between 0.02 percent and 0.7 percent. These measures of the responses are very important derivatives of the hypothesis investigated in the thesis. They estimate the impacts of traffic management schemes and vehicle operations that target reducing one emission, on the other non-targeted emissions. However, we must be cautious in extending the results of the thesis to the modern vehicles fleet. The modern fleet differs significantly in technology from the dataset that we use in this thesis. The dataset consists of measurements of HC, CO, and NOX emissions for 542 gasoline-fuelled passenger vehicles, under six test drive-cycles, before and after the vehicles were tuned. Nevertheless, the dataset has a number of limitations such as limited model year range, limited representations of modal operations, and limitations of the measurements of emissions based only on averages of test drive-cycles, in addition to the exclusion of high-emitter emission measurements from the dataset. The dataset has a limited model year range, i.e., between 1980 and 1991. We highlight the age of the dataset, and acknowledge that the present vehicle fleet varies technologically from the vehicles in the dataset used in this thesis. Furthermore, the dataset has a limited number of makes - Holden, Ford, Toyota, Nissan, and Mitsubishi. There are also a limited number of modal operations. The model operations presented in the dataset are cold start, warming-up, and hot stabilised driving conditions. However, enrichment episodes are not adequately presented in the test-drive cycles of the dataset. Moreover, the dataset does not take into account driving behaviour influences, and all measurements are cycle-based averages. The emission measurements of laboratory-based testings are aggregated over a test drive cycle, and the test drive-cycle represents an average trip over an average speed. The exclusion of the measurements of high emitting vehicles from the dataset introduces further limitations. Remote sensing studies show that 20 percent of the on-road vehicle fleet is responsible for 80 percent of HC and CO emissions. The findings of the thesis assist in the identification of the best strategies to mitigate the most adverse effects of air-pollution, such as the most severe pollution that have the most undesirable pollution effects. Also, they provide decision-makers with valuable information on how changes in the operation of the transport system influence the urban air-quality. Moreover, the thesis provides information on how vehicle emissions affect the chemistry of the atmosphere and degrade the urban air-quality.

As nanopartículas atmosféricas podem causar diversos efeitos à saúde já que durante a inalação podem penetrar mais profundamente no sistema respiratório humano, atingindo inclusive os alvéolos e a corrente sanguínea, e, desta forma, aumentar os efeitos toxicológicos prejudiciais. Estas partículas podem ser emitidas diretamente para a atmosfera (partículas primárias) ou ser formadas por conversão gás-partícula (partículas secundárias). Durante a última década, estudos têm sido realizados para uma melhor compreensão sobre as concentrações de nanopartículas, avaliando sua emissão, formação, dispersão, exposição e os efeitos à saúde. No entanto, poucos estudos foram realizados no Brasil e desta forma ainda há pouca informação em relação a esta temática. A Região Metropolitana de Porto Alegre - RMPA (Brasil) possui forte tráfego veicular, cerca de 1,8 milhões de veículos e, apesar das fontes móveis impactarem fortemente a qualidade do ar nesta região e ser a principal fonte de nanopartículas, não há estudos que avaliem em profundidade os níveis deste importante poluente ambiental. Desta forma, no presente estudo foram avaliadas as concentrações de nanopartículas em diferentes pontos da RMPA. Além disso, foram avaliadas as concentrações ambientais de partículas <1 μm (MP1) e metais associados, bem como foram identificadas e quantificadas as contribuições de fontes utilizando o modelo receptor Positive Matrix Factorization (PMF). Em adição, foi realizada uma análise das assinaturas espectrais no infravermelho de nitro-hidrocarbonetos policíclicos aromáticos (nitro-HPAs) associados ao MP1. Este grupo de compostos orgânicos possui uma ampla distribuição no ambiente e, por possuírem propriedades mutagênicas e carcinogênicas, seus riscos ambientais foram calculados. Desta forma, considerando os resultados obtidos, verificou-se uma forte contribuição antropogênica dos poluentes avaliados na RMPA. Esta degradação da qualidade do ar está em geral associada ao tráfego veicular, especialmente no que se refere aos níveis de nanopartículas e nitro-HPAs associados ao MP1. Além disso, as emissões industriais, a queima de carvão, biomassa e óleo combustível, bem como a queima de combustíveis veiculares apresentaram forte influência nos níveis de metais observados em MP1. / Atmospheric nanoparticles can cause health effects, as during inhalation penetrate more deeply into the human respiratory system, including the alveoli and reaching the bloodstream, and thereby increase the damaging toxicological effects. These particles can be emitted directly to the atmosphere (primary particles) or be formed by gas-to-particle conversion (secondary particle). Over the last decade, studies have been conducted for a better understanding of the nanoparticles, assessing the emission, formation, dispersion, exposure and health effects. However, few studies have been conducted in Brazil and thus there is little information regarding this subject. The Metropolitan Area of Porto Alegre - MAPA (Brazil) has a strong vehicular traffic, about 1.8 million vehicles and, despite mobile sources strongly impact the air quality in this region and be the main source of nanoparticles, there are no studies that evaluate in depth the levels of this important environmental pollutant. Thus, considering this knowledge gap, the present study evaluated the nanoparticle concentrations in different sites of the MAPA. In addition, environmental concentrations of particles <1 μm (MP1) and associated metals were evaluated and the sources were identified and quantified using the receptor model Positive Matrix Factorization (PMF). In addition, an analysis of the infrared spectral signatures of nitro polycyclic aromatic hydrocarbons (nitro-PAHs) associated with PM1 was performed. This group of organic compounds has a wide distribution in the environment, and because they have mutagenic and carcinogenic properties, their environmental risks were calculated. Thus, considering the obtained results, a strong anthropogenic contribution of the evaluated pollutants in the MAPA was observed. This degradation of the air quality in general is associated with vehicular traffic, especially regarding the levels of nanoparticles and nitro-PAHs associated with PM1. In addition, industrial emissions, coal, biomass and fuel oil combustion, as well as vehicle fuels combustion had a strong influence on the metal levels observed in PM1.

O ozônio troposférico (O3) é um dos poluentes mais importantes da atualidade, sendo formado pela interação de óxidos de nitrogênio, hidrocarbonetos e radiação ultravioleta. Ele ou seus radicais livres estão associados ao aumento da incidência de doenças pulmonares em seres humanos, além de causar danos à vegetação e à produtividade agrícola em diversas regiões do mundo. Portanto, é de fundamental importância que sejam pesquisadas e padronizadas espécies e/ou cultivares sensíveis a este poluente, para que se possa fazer a bioindicação da qualidade do ar, uma vez que esta apresenta custo baixo e fácil implementação. Desta forma, o objetivo do presente trabalho foi avaliar o potencial bioindicador de 4 cultivares de feijão (Phaseolus vulgaris L.), desenvolvidas pela FEPAGRO (Fundação de Pesquisa Agropecuária) Litoral Norte do Rio Grande do Sul, através de sua comparação com a cultivar reconhecidamente sensível ao ozônio, a US Pinto 111. Para tanto, foram empregados parâmetros fotossintéticos, vazamento relativo de eletrólitos, abscisão foliar e medidas de biomassa. Plântulas de 8 dias (contados a partir da semeadura) das cultivares Fepagro 26, Guapo Brilhante, Iraí, Macotaço e US pinto 111 foram submetidas, em câmaras de topo-aberto, aos tratamentos sem e com adição de ozônio ao ar ambiente. Ao todo, foram realizados 7 eventos de fumigação, com duração de uma semana cada, e fumigação diária das 10:00 às 16:00 horas. Em cada um desses 7 eventos de fumigação, foram utilizadas 5 plântulas/tratamento/cultivar, totalizando 25 plântulas por câmara. A exposição ao ozônio causou, em algum momento, decréscimos significativos na assimilação líquida de todas as cultivares, exceto na Iraí. Esses decréscimos na assimilação líquida foram associados principalmente à atividade da Rubisco in vivo e, secundariamente, à capacidade de transporte de elétrons. A exposição ao ozônio causou também um aumento significativo no vazamento relativo de eletrólitos da cultivar Pinto, mas apenas quando a soma das concentrações horárias acima 40 ppb (AOT40) foi a mais elevada. Além disso, o tratamento com ozônio causou uma antecipação significativa no tempo de abscisão foliar apenas nas cultivares Pinto, Fepagro e Guapo, sendo que isto ocorreu em pelo menos um dos dois experimentos realizados para avaliação desse parâmetro. Quanto às medidas de biomassa da raiz, parte aérea e total da planta, pode-se dizer que períodos mais longos de exposição ao ozônio são necessários para ocorrerem modificações significativas e confiáveis nesse parâmetro. Embora tenha havido bastante instabilidade nos resultados, devido, provavelmente, a fatores ambientais não mensurados, pôde-se, com este estudo, confirmar a sensibilidade da cultivar US Pinto 111 ao ozônio e mostrar que a cultivar Fepagro 26 tem um ótimo potencial para ser empregada em estudos futuros como um bioindicador sensível ao ozônio, enquanto a cultivar Iraí poderia ser considerada resistente. Além disso, entre os parâmetros avaliados, a assimilação líquida e a abscisão foliar mostraram ser os mais eficientes para fazer a classificação das cultivares em níveis de sensibilidade. / Today, tropospheric ozone (O3) is one of the most important pollutants. It is formed by the interaction of oxides of nitrogen, hydrocarbons and ultraviolet radiation. It or its free radicals are associated with the increased incidence of lung diseases in humans, in addition to damage to vegetation and crop yield in different regions of the world. It is essential, therefore, to research and standardize species and/or cultivars sensitive to this pollutant, in order to be able to perform the bioindicator air quality, since this is low cost and easy to implement. The present study, thus, deal to evaluate the bioindicator potential of 4 bean (Phaseolus vulgaris L.) cultivars, developed by FEPAGRO (Fundação Estadual de Pesquisa Agropecuária) North Coast from Rio Grande do Sul, by comparing it with the cultivar that is known to be sensitive to ozone, US Pinto 111, using some parameters such as photosynthesis, relative leakage of electrolytes, foliar abscission and biomass measures. For this 8-day seedlings, counting from the date of sowing, of Fepagro 26, Guapo Brilhante, Iraí, were used for treatments with and without addition of ozone to the ambient air. In all, 7 fumigation events were performed, lasting one week each, and daily fumigation from 10 am to 4 pm. In each of these 7 fumigation events, 5 seedlings/treatment/cultivar were used, a total of 25 seedlings per chamber. Exposure to ozone at some point caused significant reductions in the net assimilation of all cultivars except Iraí. These reductions in net assimilation were associated mainly with the in vivo activity of Rubisco, and secondarily with the electron transport capacity. Exposure to ozone also caused a significant increase in the relative leakage of electrolytes from Pinto cultivar, but only when sum of daily concentrations above 40 ppb (AOT40) was highest. In addition, treatment with ozone caused a significant anticipation in foliar abscission time only in the Pinto, Fepagro and Guapo cultivars. This occurred in a least one of the two experiments performed to evaluate this parameter. As to the measures of root biomass, aerial part and total plant, it might be said that longer periods of exposure to the pollutant are necessary for significant, reliable changes to occur in this parameter. Although the results were quite unstable, probably due to unmeasured environmental factors, with this study one can confirm the sensitivity of US Pinto 111 cultivar to ozone and show that the Fepagro 25 cultivar has an excellent potential for future use as an ozonesensitive bioindicator, while the Iraí cultivar could be considered resistant. In addition, among the parameters evaluated in this study, net assimilation and leaf abscission proved to be most efficient to classify the cultivars as to levels of sensitivity.