The Chilliwack Respiratory Survey, 1963: Part I. Methodology

In order to ascertain the prevalence of chronic respiratory disease in residents of a rural town and to determine the relative importance of tobacco smoking and air pollution, a survey was conducted of 726 persons living at Chilliwack, British Columbia, in May and June, 1963. Over 95% of a random sample of adults was interviewed and performed simple tests of respiratory function. The sample was selected from a commercial census. An analysis of the demographic characteristics of the sample indicated that the group, aged 25 to 74 years, was reasonably representative for detailed study of chronic respiratory disease.     

The Chilliwack Respiratory Survey, 1963: Part IV. The Effect of Tobacco Smoking on the Prevalence of Respiratory Disease

Chronic non-specific respiratory disease was found by a survey at Chilliwack, B.C., to affect 29.3% of men and 18.0% of women between the ages of 25 and 74. The habit of current cigarette smoking was found to be the most important single factor associated with respiratory disease, and was found to be related to changes in simple measures of lung function. The authors were unable to confirm the existence of a threshold in lifetime cigarette smoking before respiratory disease occurred.Comparisons were made with a population previously studied at Berlin, New Hampshire, U.S.A., in 1961. At Berlin, where pollution by SO₂ and dust-fall had been thoroughly documented, the comparable prevalence rates for respiratory disease were 40.0% for men and 21.6% for women. When differences between the two populations as to age and number of cigarettes smoked daily were taken into account, the disease rates in these two communities were found to be quite similar. The Chilliwack sample did, however, have significantly higher values for the lung function tests.     

The Chilliwack Respiratory Survey, 1963: Part III. The Prevalence of Respiratory Disease in a Rural Canadian Town

The prevalence of chronic respiratory symptoms and of abnormalities in pulmonary function was determined by a survey of persons, aged 25 to 74, residing during May and June 1963 in a rural town, Chilliwack, B.C. Morning phlegm was reported by 26% of men and 13% of women. Chronic bronchitis was considered present in 21.5% of men and 11.3% of women. More serious obstructive lung disease, not related to heart disease, was found in 12.6% of men and 8.7% of women. These prevalences were higher than those found by the authors at Berlin, New Hampshire, U.S.A., in 1961. Demographic factors, such as birthplace, occupational class and measures of social stability, were not related to the prevalence of respiratory disease at Chilliwack. Some observer variation was found after analysis to be the result of non-randomization of respondents among the observers. An incidental observation was a high prevalence at Chilliwack of heart disease and hypertension under treatment.     

Efficient genetic transformation of red raspberry,Rubus ideaus L.

We have developed an efficient transformation system for red raspberry (Rubus ideaus L.) using Agrobacterium mediated gene transfer. Using this system we have successfully introduced a gene that encodes an enzyme, S-adenosylmethionine hydrolase (SAMase), in raspberry cultivars Meeker (MK), Chilliwack (CH) and Canby (CY). Leaf and petiole expiants were inoculated with disarmed Agrobacterium tumefaciens strain EHA 105 carrying either of two binary vectors, pAG1452 or pAG1552, encoding gene sequences for SAMase under the control of the wound and fruit specific tomato E4 promoter. Primary shoot regenerants on selection medium were chimeral containing both transformed and non-transformed cells. Non-chimeral transgenic clones were developed by iterative culture of petiole, node and leaf explants, on selection medium, from successive generations of shoots derived from the primary regenerants. Percent recovery of transformants was higher with the selection marker gene hygromycin phosphotransferase (hpt), than with neomycin phosphotransferase (nptII). Transformation frequencies of 49.6%, 0.9% and 8.1% were obtained in cultivars Meeker, Chilliwack and Canby respectively from petiole expiants using hygromycin selection. Genomic integration of transgenes was confirmed by Southern hybridization. Transgenic plants from a total of 218 independent transformation events (161 MK, 4 CH, 53 CY) have been successfully established in soil.Abbreviations ACCO amincocyclopropane-1-carboxylic acid oxidase - AS acetosyringone - BA 6-benzylaminopurine - CH cultivar Chilliwack - CY cultivar Canby - cv cultivar - hpt hygromycin phosphotransferase - IBA indolebutyric acid - MK cultivar Meeker - npt II neomycin phosphotransferase - SAMase S-adenosylmethionine hydrolase - TDZ Thidiazuron (N-phenyl-N'-l,2,3-thidiazol-5-ylurea)     

Air Pollution from Industry and Traffic: Perceived Risk and Affect in the Moerdijk Region,The Netherlands

The aim of the present study was to compare the perceived risks of air pollution from industry and traffic in the Moerdijk region in The Netherlands, and to identify the demographic and psychometric variables that are associated with these perceived risks. We sent out a questionnaire and risk perceptions were explored using multiple regression models. The results showed that the perceived risks of industrial air pollution were higher than for those of traffic-related air pollution. The perceived risk of industrial air pollution was associated with other variables than that of traffic. For industry, the psychometric variable affect prevailed. For traffic-related air pollution, the demographic variables age and educational level prevailed, although affect was also apparent. Which source was considered as the major source—traffic or industry—depended on a high risk perception of industrial air pollution, and not on variation in risk perception of traffic-related air pollution. These insights can be used as an impetus for the local risk management process in the Moerdijk region. We recommend that local authorities consider risk perception as one of the targets in local risk management strategies as well.     

Characterizing spatiotemporal patterns of air pollution in China: A multiscale landscape approach

China’s tremendous economic growth in the past three decades has resulted in a number of environmental problems, including the deterioration of air quality. In particular, fine particulate matter (PM) has received increasing attention from scientists, governmental agencies, and the public due to its adverse impacts on human health. Monitoring the spatiotemporal patterns of air pollution is important for understanding its transport mechanisms and making effective environmental policies. The main goal of this study, therefore, was to quantify the spatial patterns and movement of air pollution in China at annual, daily, and hourly scales, so that the underlying drivers could be better understood. We used remote sensing data and landscape metrics together to capture spatiotemporal signatures of air pollution. Our results show that, at the annual scale, PM_2.5 concentrations in China increased gradually from 1999 to 2011, with the highest concentrations occurring in the North China Plain as well as the middle and lower reaches of the Yangtze River Basin. The total population affected by air pollution was about 975 million in 2010 (about 70% of China’s population). Our more detailed analysis on daily and hourly scale further revealed that a heavy air pollution event occurred, expanded, aggregated, and finally dissipated over Northern China during Oct. 6–12, 2014, suggesting that the Beijing-Tianjin-Hebei region a center of severe pollution. Crop stalks burning in agricultural areas in this region seemed to be one of the leading drivers, along with coal burning and transportation emissions. Our study demonstrates that spatial pattern analysis with landscape metrics is effective for analyzing source-sink dynamics of air pollution and its potential drivers. Our findings of major source areas and movement trajectories should be useful for making air pollution control policies to improve China’s air quality.     

Stochastic Modelling of Air Pollution Impacts on Respiratory Infection Risk

The impact of air pollution on people’s health and daily activities in China has recently aroused much attention. By using stochastic differential equations, variation in a 6 year long time series of air quality index (AQI) data, gathered from air quality monitoring sites in Xi’an from 15 November 2010 to 14 November 2016 was studied. Every year the extent of air pollution shifts from being serious to not so serious due to alterations in heat production systems. The distribution of such changes can be predicted by a Bayesian approach and the Gibbs sampler algorithm. The intervals between changes in a sequence indicate when the air pollution becomes increasingly serious. Also, the inflow rate of pollutants during the main pollution periods each year has an increasing trend. This study used a stochastic SEIS model associated with the AQI to explore the impact of air pollution on respiratory infections. Good fits to both the AQI data and the numbers of influenza-like illness cases were obtained by stochastic numerical simulation of the model. Based on the model’s dynamics, the AQI time series and the daily number of respiratory infection cases under various government intervention measures and human protection strategies were forecasted. The AQI data in the last 15 months verified that government interventions on vehicles are effective in controlling air pollution, thus providing numerical support for policy formulation to address the haze crisis.     

Western Balkan societies' awareness of air pollution. Estimations using natural language processing techniques

Air pollution remains a severe concern in European countries, especially in Western Balkan, where the air monitoring data point to harmful ambient pollution. The public concern with this issue becomes particularly critical during the fall and winter months, when the contamination is more visible, provoking a series of reactions directed principally to the government authorities as the responsible entities for regulating air pollution levels. Since citizen-contributed data are generally considered valuable additional information for assessing the impacts of air pollution, the public contribution could act as a tool for increasing awareness and response about air pollution. Consequently, this study's objective focuses on researching public awareness of air pollution in Western Balkan. The study assumes that citizens' reactions will grow more intensely during the months with an increase in air pollution levels, principally due to winter heating. Therefore, Twitter activity and news articles related to air pollution have been investigated for the case of Macedonia, Serbia, Bosnia and Herzegovina and Montenegro, from November 2021 to March 2022. Natural Language Processing techniques such as sentiment analysis, topic modelling, and cross-correlations statistical analysis were employed to determine the relationship between Twitter discussions and news with actual PM₁₀ levels measured by official air monitoring stations. The aim was to observe whether tweets and news teasers reflect the realistic air pollution situation. The results affirm that social media discussions, mainly with a negative connotation, can serve as a measure of public awareness of temporal changes in the PM₁₀ concentration in the air and the negative consequences. The content of the resources reveals several topics of concern, contributing to better identification of public opinion and possibilities for tracking news trends. Nevertheless, attention should be paid to news interpretation, provided that sometimes they might offer a more neutral understanding of the situation, failing, in this way, to present the actual air conditions and possibly impacting society in forming an unrealistic opinion. Additionally, the public might not be able to obtain sufficient or accurate information about the primary sources of air pollution, emphasizing the need for more transparent communication and greater education regarding air pollution monitoring. Finally, the study provides deeper insights into the content of the data and helps detect the reasons for skepticism towards pro-environmental behavior occurring in social media discussions. Explicitly, personal disappointment with the air quality should be taken as an inflection point by responsible parties to intervene in improving citizens' quality of life.     

Risk perception of air pollution: An exploration of self-relevancy

Air pollution is a serious environmental issue that has been long recognized. Whereas government policies attempt to reduce air pollution by controlling various pollution sources, research on risk perception of air pollution tends to treat air pollution as a single unified risk and neglects the complication of the polluting sources. Previous research consistently demonstrates that lay people have an inaccurate understanding of air pollution and are unwilling to change their behaviors to decrease pollution. However, these findings can hardly be employed in policy-making because researchers and policy-makers treat air pollution differently. The aim of the present study is to obtain a nuanced understanding of people's risk perception of air pollution from different sources. Moreover, we propose a new risk dimension, Self-Relevancy, and try to understand people's reluctance to change their behaviors to reduce pollution. Three main findings emerged. First, we demonstrated that people perceived each air pollution source differently. Second, factor analysis of risk characteristics showed that ratings of Self-Relevancy questions mainly loaded on the same factor, which indicates the robustness of the Self-Relevancy risk dimension. Finally, we found that people's ratings of Self-Relevancy positively predicted their perceived risk for some of the pollution sources. These findings highlight the importance of investigating sub-categories of risks and exploring the risk dimension of Self-Relevancy in future risk perception research to provide detailed and informative data for policy-makers.     

Responses of antioxidants in the lichen Ramalina lacera may serve as an early-warning bioindicator system for the detection of air pollution stress

The aim of this study was to identify, in the lichen Ramalina lacera, antioxidants that could provide indications of air pollution stress, and respond earlier than traditionally used structural/physiological parameters. The pollution-sensitive lichen R. lacera was transplanted from its relatively unpolluted natural habitat to two air-polluted sites for a period of up to 6 months. The superoxide dismutase and catalase activities, total water- and lipid-soluble low-molecular-weight antioxidant capacities and chlorophyll b/chlorophyll a ratios were assessed every 6 weeks. The earliest signs of oxidative stress were detected in the activities of fungal copper/zinc-superoxide dismutase, algal iron-superoxide dismutase and water-soluble low-molecular-weight antioxidants, which increased significantly as early as 42 days after exposure to pollution. Catalase activity increased in lichens transplanted to the polluted sites after 90 days. All activities decreased towards the end of the experiment. The impact of air pollution on R. lacera, using the traditionally employed parameter of chlorophyll b/chlorophyll a ratio, was only detected after 6 months of exposure to air pollution. Our results indicate that antioxidant parameters may serve as improved early-warning indicators of air pollution stress in lichens.     

The industrial boom in the Eastern Province,Kingdom of Saudi Arabia

Rapid industrialization in the Kingdom of Saudi Arabia particularly in the Eastern Province is a major step towards diversification of the national income, being the second after oil sales. This study aims at estimating the degree of air pollution likely to arise from the petrochemical industry in the Jubail Industrial area, Eastern Province. The World Health Organization's (WHO 1982) recommended methodology for rapid assessment of sources of air, water and land pollution was used. Air pollution load from some industries was taken as an example. The potential air pollutants are too many to be enumerated. However, the main ones are chlorine, ammonia, and carbon monoxide. Pollutants from the industry in the region may have serious effects on the population living in that area. It is strongly recommended that the concerned authorities in the Kingdom implement an environmental control programme at this early stage before the industrial area is fully operational.     

Effects of environmental air pollution on endogenous oxidative DNA damage in humans

Epidemiological studies conducted in metropolitan areas have demonstrated that exposure to environmental air pollution is associated with increases in mortality. Carcinogenic polycyclic aromatic hydrocarbons (c-PAHs) are the major source of genotoxic activities of organic mixtures associated with respirable particulate matter, which is a constituent of environmental air pollution. In this study,we wanted to evaluate the relationship between exposure to these genotoxic compounds present in the air and endogenous oxidative DNA damage in three different human populations exposed to varying levels of environmental air pollution. As measures of oxidative DNA damage we have determined 8-oxo-7,8-dihydro-2′-deoxyguanosine (8-oxodG) by liquid chromatography–tandem mass spectrometry (LC–MS/MS) and cyclic pyrimidopurinone N-1,N² malondialdehyde-2′-deoxyguanosine (M₁dG) by the immunoslot blot assay from lymphocyte DNA of participating individuals. The level of endogenous oxidative DNA damage was significantly increased in individuals exposed to environmental air pollution compared to unexposed individuals from Kosice (8-oxodG adducts) and Sofia (M₁dG adducts). However, there was no significant difference in the level of endogenous oxidative DNA and exposure to environmental air pollution in individuals from Prague (8-oxodG and M₁dG adducts) and Kosice (M₁dG adducts). The average level of M₁dG adducts was significantly lower in unexposed and exposed individuals from Kosice compared to those from Prague and Sofia. The average level of 8-oxodG adducts was significantly higher in unexposed and exposed individuals from Kosice compared to those from Prague. A significant increasing trend according to the interaction of c-PAHs exposure and smoking status was observed in levels of 8-oxodG adducts in individuals from Kosice. However, no other relationship was observed for M₁dG and 8-oxodG adduct levels with regard to the smoking status and c-PAH exposure status of the individuals. The conclusion that can be made from this study is that environmental air pollution may alter the endogenous oxidative DNA damage levels in humans but the effect appears to be related to the country where the individuals reside. Genetic polymorphisms of the genes involved in metabolism and detoxification and also differences in the DNA repair capacity and antioxidant status of the individuals could be possible explanations for the variation observed in the level of endogenous oxidative DNA damage for the different populations.     

Analysis of genetic variants of the poly(ADP-ribose) polymerase-1 gene in breast cancer in French patients

Previous studies have provided evidence for an association between exposure to high levels of air pollution and increased DNA damage in human sperm. In these studies DNA damage was measured using the sperm chromatin structure assay (SCSA) wherein the percentage of sperm with abnormal chromatin/fragmented DNA is determined and expressed as % DNA fragmentation index (%DFI). Here we extend these observations to address the following hypothesis: men who are homozygous null for glutathione-S-transferase M1 (GSTM1−) are less able to detoxify reactive metabolites of carcinogenic polycyclic aromatic hydrocarbons (c-PAHs) found in air pollution. Consequently they are more susceptible to the effects of air pollution on sperm chromatin. Using a longitudinal study design in which men provided semen samples during periods of both low (baseline) and episodically high air pollution, this study revealed a statistically significant association between GSTM1 null genotype and increased SCSA-defined %DFI (beta = 0.309; 95% CI: 0.129, 0.489). Furthermore, GSTM1 null men also showed higher %DFI in response to exposure to intermittent air pollution (beta = 0.487; 95% CI: 0.243, 0.731). This study thus provides novel evidence for a gene–environment interaction between GSTM1 and air pollution (presumably c-PAHs). The significance of the findings in this study with respect to fertility status is unknown. However, it is biologically plausible that increases in %DFI induced by such exposures could impact the risk of male sub/infertility, especially in men who naturally exhibit high levels of %DFI.     

Development of pollution indices for the middle section of the Lower Seyhan Basin (Turkey)

Pollution indices aggregate concentrations of several water or air quality parameters into a single quantity to indicate the general status of pollution in a region. Several pollution index models are present in literature. However, their application for different cases may require modifications based on implementation goals and available data. In this study, modified pollution indices were used to evaluate the pollution status in the middle section of the Lower Seyhan River Basin by employing a geographical information system (GIS) software (ArcGIS 9.3) for data processing, estimations and evaluations. Air quality index (AQI) and water quality index (WQI) were utilized to evaluate air and water pollution levels, respectively. Moreover, a composite air–water quality index (AWQI) was developed to perform a general assessment about the overall pollution status. The WQI and AQI were calculated for 2004–2010 and 2007–2010, respectively. The AWQI was developed for the period of 2007–2010. Results indicated that for the available data and time frame considered in the study, air and water qualities were in good conditions (low pollution), in general. Yet, precautions could still be taken for improvement. Results also indicated the need for improvement of monitoring network for better assessment of the environmental quality in the whole basin. In general, GIS tools were very helpful in the development of the indices.     

The relationship between biomarkers of oxidative DNA damage, polycyclic aromatic hydrocarbon DNA adducts, antioxidant status and genetic susceptibility following exposure to environmental air pollution in humans

Polycyclic aromatic hydrocarbons (PAHs) appear to be significant contributors to the genotoxicity and carcinogenicity of air pollution present in the urban environment for humans. Populations exposed to environmental air pollution show increased levels of PAH DNA adducts and it has been postulated that another contributing cause of carcinogenicity by environmental air pollution may be the production of reactive oxygen species following oxidative stress leading to oxidative DNA damage. The antioxidant status as well as the genetic profile of an individual should in theory govern the amount of protection afforded against the deleterious effects associated with exposure to environmental air pollution. In this study we investigated the formation of total PAH (bulky) and B[a]P DNA adducts following exposure of individuals to environmental air pollution in three metropolitan cities and the effect on endogenously derived oxidative DNA damage. Furthermore, the influence of antioxidant status (vitamin levels) and genetic susceptibility of individuals with regard to DNA damage was also investigated. There was no significant correlation for individuals between the levels of vitamin A, vitamin E, vitamin C and folate with M₁dG and 8-oxodG adducts as well as M₁dG adducts with total PAH (bulky) or B[a]P DNA adducts. The interesting finding from this study was the significant negative correlation between the level of 8-oxodG adducts and the level of total PAH (bulky) and B[a]P DNA adducts implying that the repair of oxidative DNA damage may be enhanced. This correlation was most significant for those individuals that were non smokers or those unexposed to environmental air pollution. Furthermore the significant inverse correlation between 8-oxodG and B[a]P DNA adducts was confined to individuals carrying the wild type genotype for both the GSTM1 and the GSTT1 gene (separately and interacting). This effect was not observed for individuals carrying the null variant.     

Adverse reproductive outcomes from exposure to environmental mutagens.

The effect of environmental pollution on reproductive outcomes has been studied in the research project 'Teplice Program' analyzing the impact of air pollution on human health. Genotoxicity of urban air particles <10 microm (PM10) in in vitro system was determined by the analysis of DNA adducts. The highest DNA binding activity was observed in aromatic fraction, identifying DNA adducts of carcinogenic polycyclic aromatic hydrocarbons (PAHs) presumably diolepoxide-derived from: 9-hydroxybenzo[a]pyrene (9-OH-B[a]P), benzo[a]pyrene-r-7,-dihydrodiol-t-9,10-epoxide[+] (anti-BPDE), benzo[b]fluoranthene (B[b]F), chrysene (CHRY), benz[a]antracene (B[a]A), indeno[1,2,3-cd]pyrene (I[cd]P). Reproductive studies were conducted in both females and males. A study of the effects of PM10 exposure on pregnancy outcomes found the relationship between the intrauterine growth retardation (IUGR) and PM10 levels over 40 microg/m(3) in the first gestational month (Odds Ratio for 40-50 microg/m(3)50 microg/m(3)=1.9). Selected biomarkers were analyzed in venous blood, cord blood (chromosomal aberrations, comet assay) and placenta (DNA adducts, genetic polymorphisms of GSTM1 and NAT2 genotypes) of women enrolled in a nested case-control study. DNA adduct levels were higher in polluted vs. control districts, in smoking vs. nonsmoking mothers, and in GSTM1 null genotype, which was more pronounced in polluted district. No effect of air pollution was observed by cytogenetic analysis of chromosomal aberrations or by comet assay. The reproductive development of young men was followed by measures of semen quality, adjusted for ambient SO(2) exposure. The analysis identified significant associations with air pollution for <13% morphologically normal sperm, <29% sperm with normal head shape, <24% motile sperm. Analysis of aneuploidy in human sperm by FISH showed, aneuploidy YY8 was associated with season of heaviest air pollution. These findings are suggestive for an influence of air pollution on YY8 disomy. All these results indicate that air pollution may increase DNA damage in human population, which may be even higher for susceptible groups. Biomarkers of exposure (DNA adducts) and susceptibility (GSTM1 and NAT2) may indicate the risk of presumable low environmental exposure. Pregnancy outcome and semen studies imply that relatively low air pollution (higher than 40 microg PM10/m(3)) can significantly increase the adverse reproductive outcomes affecting both genders.     

Evaluation of the 2013 Southeast Asian Haze on Solar Generation Performance

Pollution in Southeast Asia is a major public energy problem and the cause of energy losses. A significant problem with respect to this type of pollution is that it decreases energy yield. In this study, two types of photovoltaic (PV) solar arrays were used to evaluate the effect of air pollution. The performance of two types of solar arrays were analysed in this research, namely, two units of a 1 kWp tracking flat photovoltaic (TFP) and two units of a 1 kWp fixed flat photovoltaic arrays (FFP). Data analysis was conducted on 2,190 samples at 30 min intervals from 01^st June 2013, when both arrays were washed, until 30^th June 2013. The performance was evaluated by using environmental data (irradiation, temperature, dust thickness, and air pollution index), power output, and energy yield. Multiple regression models were predicted in view of the environmental data and PV array output. Results showed that the fixed flat system was more affected by air pollution than the tracking flat plate. The contribution of this work is that it considers two types of photovoltaic arrays under the Southeast Asian pollution 2013.     

Atmospheric metal pollutants and environmental injustice: A methodological approach to environmental risk analysis using fuzzy logic and tree bark

Air pollution is the single largest environmental risk today and is increasing in developing countries. In addition, exposure to air pollution is correlated to poor socioeconomic conditions owing to political processes and cultural and historic occupation of land. Ports have several structures that are potential emitters of pollutants such as large ship engines, diesel trucks, and trains. Owing to the considerable costs of implementing direct monitoring networks, alternatives like biomonitoring are an interesting approach to evaluate the environmental status of a particular area using living organisms or their parts such as bark, even though the use of bark as a biomonitor has several problems such as difficulties in determining the exposure period and its correlation with human exposure. Therefore, the use of a complementary mathematical logic is necessary. This study describes a methodological approach to evaluate the environmental risk from air pollution integrating data on environmental pollutants from tree bark using Fuzzy logic, based in the port city of Paranaguá in the state of Paraná in Brazil, and validated using income indicators. The results indicate that the risk distribution patterns have an inverse relationship with the income indicator, i.e., higher risk levels indicate lower income levels and vice versa. It was concluded that the system was able to identify the distribution of risk and that there is a context of environmental injustice in the region, where the environmental risk related to air pollution is inversely proportional to income levels. This type of information provides a decision making tool for environmental risk analysis from air pollution and can be used in the definition of public policies.