The subject of this thesis is the development of a laser light source which could be used in an air pollution monitor to measure the average concentration of sulfur dioxide gas over long paths (>1 km). Many of the problems encountered in designing a long-path pollutant monitor such as instrument cost and reliability, the selection of an optimum spectral region for making the measurement, and light losses due to scattering and turbulence, are considered. The result of these considerations together with a survey of available laser light sources suggested that a frequency- doubled dye laser possessed several advantages over other laser light sources.

No description available.

Since the beginning of the 20th century indoor air has produced distinctive pollution problems. The most critical pollutants in relation to indoor air quality (IAQ) are chemical contaminants which, in the form of volatile organic compounds (VOCs), have been identified as arising mainly from building materials. Conventional solutions such as ventilation systems and bake-out processes have been developed, but the IAQ problem, often reported as sick building syndrome (SBS), still persists. This study set out to establish to what extent VOCs may affect the health of occupants in a particular built environment, and how much architectural design factors, the use of particular building materials, and human activities may contribute to the problem of SBS. A further question was to establish to what extent current attempted solutions to IAQ problems, namely ventilation and bake-out, were in practice effective in a specific built environment. While previous research and attempted solutions have focused on work places as areas of concern for SBS, the problem is especially significant in residential housing and is particularly concentrated in post-disaster public housing (PDPH). For this reason the research was based on the case of a PDPH project in Abuta, Japan. To analyse the separate components of the problem, several distinct studies were undertaken. The level of pollutants in the air was analysed by means of chemical sampling of VOCs in two units of the PDPH, while the a SBS survey and assessment of the residents of the entire project, as well as interviews with the building professionals involved was designed to identify the human causes and effects of the situation. The effectiveness of the attempted solutions to the problem were considered by means of a study of the bake-out procedure, and finally an airflow simulation by computational fluid dynamics (CFD) was conducted to consider the design and ventilation features of the units in relation to IAQ. The study results have indicated that IAQ problems existed after the completion of construction. It was found that certain VOC levels were far above the guidelines, and the health hazard symptoms known for these VOCs matched the SBS symptoms found in participants??? health complaints. Interviews with building professionals involved in the project revealed that the lifestyles of the occupants were not seriously considered in the project design. The results of the airflow simulation also revealed problematic aspects of the planning design, exacerbating rather than limiting the pollution problem as intended. The study concludes with a number of recommendations for taking these inter-related aspects of the problem into consideration in future, so that the health of residents is not adversely affected.

Urban health problems and visibility degradation problems are associated with particulate matter in the air, especially PM10 and PM25 (particles with aerodynamic diameter less than 10 j.tm and 2.5 jsm, respectively). The aim of this study was to investigate the characteristics and sources of PM25 and PM20 aerosols in Brisbane. This study collected aerosol samples over a period of two and a half years at five sites around Brisbane. Source samples of soil dusts, road-side dusts and sea salt were also collected and analysed to provide information on source emission composition. The aerosol samples were analysed by a wide range of techniques, including Ion Beam Analysis and Scanning Electron Microscopy, for their chemical composition and particle size distribution. Some methodologies have been specifically developed in this study. The results presented here show that the chemical composition of PM20 aerosols in Brisbane varies largely with particle size and locations. The chemical composition of the samples are generally related to the land use near the monitoring sites. On average, the major components in the PM10 aerosol samples at five sites in Brisbane were identified as: crustal matter (27% by mass), organic matter (16%), sea salt (12%), soot (11%), and ammonium sulphate (7%). Among the Australian studies, in general, the results show that the composition of the PM25 aerosol samples collected at the Griffith University site (Brisbane) is closest to those of the New South Wales samples. The samples from Melbourne and Perth are generally richer in industry-and vehicle-related species. The major components of the PM25 aerosols at the GU site were identified as: organic matter (27% by mass), elemental carbon (23%), ammonium sulphate (14%), sea salt (9%) and crustal matter (6%). The results show that contribution of emission sources also has large particle size, temporal and spatial variations. Based on the results of source apportionment from the chemical mass balance method, the major contributors of PM20 aerosol mass in samples collected at five sites in Brisbane were found to include: soiL/road-side dusts (25% by mass, results of analysis also indicate a higher contribution from road-side dusts than from soil dusts), motor vehicle exhausts (13%, more than 80% of which are from diesel trucks/buses), elemental carbon and secondary products (around 15%), sea salt (12%), Ca/Ti-rich compounds from cement plant and mineral processing industries (11%), and biomass burning and bioaerosols (7%). On average, the PM25 aerosol mass at the Griffith University (GU) site was found to have contributions mainly from sources related to combustion. These sources include elemental carbon (24% by mass), secondary organics (21%), biomass burning (15%) and secondary sulphate (14%). Although motor vehicle exhausts contribute directly to only 6% of the PM25 aerosol mass at the GU site, their actual contribution could be substantial because most of the elemental carbon and secondary products are related to motor vehcile exhausts. On average, the results show that the visibility degradation problems in Brisbane are worse in winter/autumn than in summer. Soot and sulphate particles are the main visibility degrading species. In terms of visibility degrading sources, the main contributors are (excluding the contribution of NO2 gas): motor vehicles (up to 50%, including the secondary products), secondary sulphates (17%) and biomass burning (10%). In general, emission sources which contribute more to the fine particle fraction, and to gaseous pollutants, are most responsible for the aerosol associated health problems and visibility degradation problems. In Brisbane, these sources include motor vehicle exhausts, soil dusts, biomass burning and industrial dust.

The level of air pollution in urban areas, which is largely affected by road traffic, is an issue of high political relevance. Congestion is most prevalent in urban areas and a common and increasingly present phenomenon worldwide. The first four chapters of this study have investigated how and to what extent models, which are used to predict emissions on road links in urban road networks, include the effects of congestion on emissions. In order to make this assessment, traffic engineering literature and empirical studies have been examined and used as a basis to review (current) emission models that exist or have been used around the world. Congestion causes changes in driving patterns of individual vehicles in a traffic stream, and these changes are subsequently reflected in changes in congestion indicators and changes in emission levels. This consideration and a literature review has led to a proposed 'congestion typology' of emission models, which reflects the different ways in which and the extent to which congestion has been incorporated in these models. The typology clarifies that six of in total ten families of emission models that were investigated in this thesis explicitly consider congestion in the modelling process (i.e. model variables are related to congestion), although this is done in different ways. For the remaining four families of emission models it was not possible to determine the extent to which congestion has been incorporated on the basis of literature review alone. Two families fell beyond the scope of this work since they cannot be used to predict emission on road links. For the other two families it became clear in the course of the thesis that the extent can be determined through analysis of driving pattern data (and other information with respect to e.g. data collection) that were used in the model development. A new methodology is presented in this thesis to perform this analysis and to assess the mean level of congestion in driving patterns (driving cycles). The analysis has been carried out for one important family of emission models, the so-called travel speed models ('average speed models'), which are used extensively in urban network modelling. For four current models (COPERT III, MOBILE 6, QGEPA 2002, EMFAC 2000), it is concluded that these models implicitly (i.e. congestion is inherently considered) take varying levels of congestion into account, but that this conclusion is subject to a number of limitations. It became clear in the course of this study that prediction of (the effects of) congestion in both traffic models and emission models is generally restricted to certain modelling dimensions. As a consequence, the effects of congestion are only partially predicted in current air emission modelling. Chapter 5 has attempted to address the question whether congestion is actually an important issue in urban network emission modelling or not. It also addressed the question if different types of emission models actually predict different results. On the basis of a number of selection criteria, two types of models were compared, i.e. one explicit model (TEE-KCF 2002) and two implicit models (COPERT III, QGEPA 2002). The research objectives have been addressed by applying these emission models to a case-study urban network in Australia (Brisbane) for which various model input attributes were collected from different sources (both modelled and field data). The findings are limited by the fact that they follow from one urban network with particular characteristics (fleet composition, signal settings, speed limits) and application of only a few particular emission models. The results therefore indicate that: 1. Changes in traffic activity (i.e. distribution of vehicle kilometres travelled on network links) over the day appear to have the largest effect on predicted traffic emissions. 2. Congestion is an important issue in the modelling of CO and HC emissions. This appears not to be the case for NOx emissions, where basic traffic composition is generally a more important factor. For the most congested parts in the urban network that have been investigated, congestion can more than double predicted emissions of CO and HC. 3. Different types of emission models can produce substantially different results when absolute (arithmetic) differences are considered, but can produce similar results when relative differences (ratio or percent difference) are considered.

空氣污染防制費自民國84年7月1日開徵，希望能藉由空污費的徵收來減少污染的排放量，同時能透過空氣污染防制費的有效運用來改善空氣品質，而本文僅針對空氣污染防制迄今，對家計部門所產生的清潔效益進行估算。 首先，利用家計部門生產函數建立理論模型，接著以錢玉蘭、蕭代基(1996)，「台灣大都會地區改善空氣品質之經濟效益評估與酸雨風險認知調查」的問卷調查資料為樣本，對超對數及近似理想需求函數的實證模型進行配適比較。結果顯示：近似理想需求函數配適之判定係數較高，符合加總性、齊次性及對稱性限制條件，而價格變數與屬性變數之估計結果亦相當合理，因此，推論近似理想需求函數為解釋台灣清潔需求型態的較適模型。 由近似理想需求函數所推估之85及86會計年度空污費執行所帶來台灣地區家戶清潔效益分別為每戶2101元及651元，加總每戶效益後，台灣地區總清潔效益分別為128億元及39億元，與空污費實際執行的歲出相較，推論空污費執行迄今之效益大於成本。並由推算之各都會地區補償變量性質，建議政府以效率的觀點使用空氣污染防制費時，應將防制資源優先使用於改善都市化程度愈高，人口數愈多，污染程度愈嚴重地區的空氣品質。 / The Environmental Protection Agency of Taiwan launched the Air Pollution Emission Fees Program to levy emission fees on petroleum products, July 1, 1995. The purpose of such a program is to provide economic incentives to change peoples' behavior towards the consumption of fuels and to collect fees to be used for the improvement of air quahty. The objective of this study is to evaluate the effect of the emission fees program on household cleanness. In order to achieve this objective, we first employ a household production function in accordance with the theory of consumption behavior. Two models are utilized in this study, i.e., the translog firnction model and the almost ideal demand function model. We utilize cross-section data to fit into these models and find that the almost ideal demand model has more significant explanatory power. Therefore, we infer that this model is a better functional form for expressing the cleanness behavior of Taiwan's households. The estimated results of the total benefits for household cleanness resulting from the implementation of air pollution emission fees are NT$12.8 and NT$3.9 bilhon for the accounting years of 1996 and 1997, respectively. By comparing expenditure from the air pollution fees, which were designated for the purpose of improving air quality, i.e., NT$4.2 and NTS3.3 billion for the respective years 1996 and 1997, we can see that the pollution control program is conformable with the benefit-cost principle. Finally, based on the empirical results, pohcy recommendations are presented in the conclusion.

Graduation date: 1998

Lead has a more than three-millennia-long pollution history in Europe. Metal production, burning of coal and use of leaded petrol resulted in a significant pollution of the atmosphere. As a consequence of atmospheric fallout, the Swedish boreal forest is strongly contaminated by airborne lead pollution. High levels of lead in the soil and soil pore water are of concern because the soil fauna, plants and aquatic biota may respond negatively to this toxic element. The fate of the accumulated pool of pollution in the soil is not well known. In this thesis, I determine four variables of importance for increasing our knowledge about the past, present and future lead levels in the boreal forest soil: 1) the pre-pollution atmospheric deposition rate of lead; 2) the upward flux of lead from deeper soil layers to near-surface horizons as a result of plant uptake; 3) the mean residence time of lead in the mor layer (the organic horizon at the surface of forest soils); and 4) the vertical and lateral transport of pollution lead within the mineral soil and to streams. Lead concentration measurements and stable lead isotope analyses were used for distinguishing pollution lead from natural lead in cores from ombrotrophic bogs, forest soil profiles, forest mosses, soil-water and stream-water samples. The results clearly stress that the boreal forest ecosystem is totally dominated by pollution lead. This is proved by low 206Pb/207Pb ratios (mainly between 1.14 and 1.20) in the mor layer, forest plants and stream water, while the local geogenic lead of the mineral soil (C-horizon) has high ratios (> 1.30). The dominance of pollution in the mor layer is caused by high deposition rates of airborne lead pollution, minute transport rates of lead from the mineral soil by forest plants (about 0.02 mg lead m-2 year-1) and a long mean residence time of the deposited lead (~250 years for mature forest). In the pristine pre-pollution environment, lead was a rare element due to low atmospheric deposition rates (0.001 to 0.01 mg m-2 year-1). It is estimated that the present lead inventory in the mor layer is up to 100 times higher than in the pristine environment where ≤ 8 mg m-2 was present in the mor. The levels in this biologically important horizon will decrease at a very slow rate and it will take centuries for the deeper part of the mor layer to fully respond to decreasing atmospheric inputs. In a hypothetic scenario with a ceased atmospheric lead deposition, the pool of pollution lead will ultimately be redistributed to deeper water-saturated soil layers from where a lateral transport to surface waters occurs. In the studied catchment, the export of pollution lead from the soil to the stream is estimated to peak slightly about one thousand years from now.

This thesis examined associations between ecological indicators of residential radon and fine particulate matter air pollution (PM2.5) and lung cancer mortality using data from the American Cancer Society Cancer Prevention Study-II (CPS-II) prospective cohort. Nearly 1.2 million CPS-II participants were recruited in 1982. Mean county-level residential radon concentrations were linked to study participants according to ZIP code information at enrollment (mean (SD) = 53.5 (38.0) Bq/m3). Cox proportional hazards regression models were used to obtain adjusted hazard ratios (HRs) and 95% confidence intervals (CI) for lung cancer mortality associated with radon. After necessary exclusions, a total of 811,961 participants in 2,754 counties were retained for analysis. A significant positive linear trend was observed between categories of radon concentrations and lung cancer mortality (p = 0.02). A 15% (95% CI 1 - 31%) increase in the risk of lung cancer mortality was observed per each 100 Bq/m3 radon. Radon was also positively associated with chronic obstructive pulmonary disease mortality (HR per each 100 Bq/m3 = 1.13, 95% CI 1.05 - 1.21). No clear associations were observed between radon and non-respiratory mortality. In lifelong never smokers (n = 188,699), each 10 µg/m3 increase in mean metropolitan statistical area PM2.5 concentrations was associated with a 15-27% increase in the risk of lung cancer death which strengthened among individuals with a history of asthma or any prevalent chronic lung disease at enrollment (p for interaction < 0.05). There was no association between PM2.5 and mortality from non-malignant respiratory disease. In conclusion, this thesis observed significant positive associations between ecological indicators of residential radon and PM2.5 concentrations and lung cancer mortality. These findings further support efforts to reduce radon concentrations in homes to the lowest possible level and strengthens the evidence that ambient concentrations of PM2.5 measured in recent decades are associated with small but measurable increases in lung cancer mortality. Further research is needed to better understand possible complex inter-relationships between environmental risk factors, chronic lung disease, and lung cancer.

This thesis examined associations between ecological indicators of residential radon and fine particulate matter air pollution (PM2.5) and lung cancer mortality using data from the American Cancer Society Cancer Prevention Study-II (CPS-II) prospective cohort. Nearly 1.2 million CPS-II participants were recruited in 1982. Mean county-level residential radon concentrations were linked to study participants according to ZIP code information at enrollment (mean (SD) = 53.5 (38.0) Bq/m3). Cox proportional hazards regression models were used to obtain adjusted hazard ratios (HRs) and 95% confidence intervals (CI) for lung cancer mortality associated with radon. After necessary exclusions, a total of 811,961 participants in 2,754 counties were retained for analysis. A significant positive linear trend was observed between categories of radon concentrations and lung cancer mortality (p = 0.02). A 15% (95% CI 1 - 31%) increase in the risk of lung cancer mortality was observed per each 100 Bq/m3 radon. Radon was also positively associated with chronic obstructive pulmonary disease mortality (HR per each 100 Bq/m3 = 1.13, 95% CI 1.05 - 1.21). No clear associations were observed between radon and non-respiratory mortality. In lifelong never smokers (n = 188,699), each 10 µg/m3 increase in mean metropolitan statistical area PM2.5 concentrations was associated with a 15-27% increase in the risk of lung cancer death which strengthened among individuals with a history of asthma or any prevalent chronic lung disease at enrollment (p for interaction < 0.05). There was no association between PM2.5 and mortality from non-malignant respiratory disease. In conclusion, this thesis observed significant positive associations between ecological indicators of residential radon and PM2.5 concentrations and lung cancer mortality. These findings further support efforts to reduce radon concentrations in homes to the lowest possible level and strengthens the evidence that ambient concentrations of PM2.5 measured in recent decades are associated with small but measurable increases in lung cancer mortality. Further research is needed to better understand possible complex inter-relationships between environmental risk factors, chronic lung disease, and lung cancer.