The built environment,transportation policy,and population health: a comparison of two cities

This preliminary study assesses the relationship between active transportation, the built environment, and population perceived health in two comparable cities in the Southeastern United States at different stages of improving infrastructure for active commuting. Behavioral Risk Factor Surveillance Survey data from 2006 to 2012 were analyzed for Charlotte, NC, and Jacksonville, FL. The annual difference between the percentage of Charlotte respondents rating physical health as good compared to Jacksonville’s increased at a rate of 13% based on an exponential growth regression model (p = 0.02). Supportive urban and transportation policies aimed at facilitating healthy behaviors are associated with healthier communities.     

Fluctuation analysis-based risk assessment for respiratory virus activity and air pollution associated asthma incidence

Asthma is a growing epidemic worldwide. Exacerbations of asthma have been associated with bacterial and viral respiratory tract infections and air pollution. We correlated the asthma admission rates with fluctuations in respiratory virus activity and traffic-related air pollution, namely particulate matter with an aerodynamic diameter ≤ 10 μm (PM₁₀), nitrogen dioxide (NO₂), carbon monoxide (CO), sulfur dioxide (SO₂), and ozone (O₃). A probabilistic risk assessment framework was developed based on a detrended fluctuation analysis to predict future respiratory virus and air pollutant associated asthma incidence. Results indicated a strong association between asthma admission rate and influenza (r = 0.80, p < 0.05) and SO₂ level (r = 0.73, p < 0.05) in Taiwan in the period 2001-2008. No significant correlation was found for asthma admission and PM₁₀, O₃, NO₂, and CO. The proposed fluctuation analysis provides a simple correlation exponent describing the complex interactions of respiratory viruses and air pollutants with asthma. This study revealed that there was a 95% probability of having exceeded 2987 asthma admissions per 100,000 population. It was unlikely (30% probability) that the asthma admission rate exceeded 3492 per 100,000 population. The probability of asthma admission risk can be limited to below 50% by keeping the correlation exponent of influenza to below 0.9. We concluded that fluctuation analysis based risk assessment provides a novel predictor of asthma incidence.     

Study on dynamic characteristics of natural and mechanical wind in built environment using spectral analysis

What are the differences and similarities between natural and mechanical wind in built environment? This is an interesting question that has not been well answered yet. In the paper, spectral analysis is applied to study the dynamic characteristics of natural and mechanical wind in different conditions. The results show that in the frequency region sensitive to human sensation, the power spectrum characteristics of natural wind and mechanical wind have obvious differences as well as interesting connections. The power spectrum exponent (β$\beta$ value) of natural wind is between 1.1 and 2.0 in the human sensitive frequency region, while the value of mechanical wind is between 0 and 0.5 around the air supply outlet. With the diffusion of mechanical wind, β$\beta$ value will increase gradually and reach the value of the typical natural wind when the mean velocity is lower than 0.25 m/s. Finally, the influence of spectral characteristics on human sensation for airflow is discussed.     

Urinary 1-hydroxypyrene, air pollution exposure and associated life style factors in pregnant women

1-hydroxypyrene (1-OHP) is a biomarker of exposure to polycyclic aromatic hydrocarbons (PAHs). PAHs are pollutants produced by the combustion of organic material, and could be found both indoors and outdoors. Prenatal exposure to these compounds has been associated with retarded intrauterine growth and respiratory problems in children. The objective of this study is to describe the 1-OHP levels in urine in pregnant women in the INMA cohort in Valencia, and to study the association with socio-demographic and lifestyle variables, as well as with indicators of air pollution. The study population is a sub-sample (n: 204) of a cohort of pregnant women in the multicentre INMA project in Valencia (Spain). Urine samples were taken in week 12 of gestation, and 1-OHP was analyzed, and adjusted for creatinine. Socio-demographic and lifestyle information was collected using a questionnaire. Data from the monitoring stations in Valencia were used to assign levels of exposure to nitrogen dioxide (NO2), sulphur dioxide (SO2), total suspended particulates (TSP) and carbon monoxide (CO). The median 1-OHP level was 0.061 muicrool/mol of creatinine. Women who smoked had higher 1-OHP levels (0.095 micromol/mol of creatinine) than non-smokers (0.050 micromol/mol of creatinine). The variables predicting 1-OHP levels on linear multivariate analysis were: tobacco consumption, consumption of fried and smoked foods. There was also a significant association with NO2 levels 4 and 5 days before the samples were taken. The 1-OHP levels found in pregnant women in Valencia were higher than those found among women in reports in USA. 1-hydroxypyrene could be a good marker of exposure to PAHs from tobacco and diet, and also a useful marker of short term exposure to air pollution.     

室内环境污染及其对策

综合室内空气污染、辐射污染、噪光污染、生物污染等室内环境污染及其对人体健康的危害。指出卫生、环保、设计、建设部门要注意室内环境的设计、管理、监测。尤其是消费者要注意因不合理的家居装修设计而造成的室内环境污染对自身健康的威胁。     

The effects of changes in cadmium and lead air pollution on cancer incidence in children

This article presents the results of research on the effects of air pollution on cancer incidence in children in the region of Silesia (Poland), which has undergone one of the most profound anthropogenic transformations in Europe. The main objective of the research was to specify the impact of changes in cadmium and lead pollution in the years 1990-2005 on the incidence of cancers reported in children. Lead concentration ranged from 0 to 1490 · 10^-9 G m⁻²/year, and cadmium concentration ranged from 0 to 33.7 · 10^-9 G  m⁻²/year. There was no strong significant correlation (max 0.3) between air pollution and incidence rate (IR) in the general population of children in any particular year. Alongside the cartographic presentation of dependences, correlation coefficients between the variables in question were calculated. This made it possible to determine the relationship between the pollution levels and incidence rates in the area. There was a significant reduction in the level of pollution during the investigated period. The study of the relationship between the number of cancers reported and the condition of the natural environment revealed increased sensitivity to toxins in boys (correlation coefficient 0.3). In addition, the spatial distribution of the number of cases reported in boys suggests a correlation with the spatial distribution of the coefficients for the entire group of children included in the study. The yearly average IR of childhood cancer in specific districts ranged from 0 to 61.48/100,000 children under 18 years of age during the 1995-2004 period.     

An analysis of the bioclimates in different climates and implications for the built environment in China

Underlying trends of long-term summer and winter discomfort in terms of heat and cold stresses in the nine major thermal climate zones and sub-zones across China were investigated using 102-year (1901–2002) weather data. In severe cold climates, winter discomfort dominated (about 66%) and the comfort index (CI) varied from −5 (extremely cold) to +2 (hot). A gradual shift from predominantly negative CI to positive CI was observed as one moved across the climate zones from the north to warmer climates in the south. Temperature rise resulted in less discomfort in the winter and more discomfort in the summer. Though the reduction in cold stress and increase in heat stress were moderate during the 102-year period, the last two decades tended to exhibit the largest changes. It is envisaged that if these trends continue, changes in cold and heat stresses in the 21st century would be much greater than those experienced during the 20th century. This could have significant implications for building designs and energy use in the built environment.     

改善室内空气环境的重要性

介绍了室内空气环境的定义，阐述了影响室内空气环境的主要因素，及其对人体健康和室内其它设备的危害，提出一些改善室内空气环境的策略。     

STEMS-Air: a simple GIS-based air pollution dispersion model for city-wide exposure assessment

Current methods of air pollution modelling do not readily meet the needs of air pollution mapping for short-term (i.e. daily) exposure studies. The main limiting factor is that for those few models that couple with a GIS there are insufficient tools for directly mapping air pollution both at high spatial resolution and over large areas (e.g. city wide). A simple GIS-based air pollution model (STEMS-Air) has been developed for PM₁₀ to meet these needs with the option to choose different exposure averaging periods (e.g. daily and annual). STEMS-Air uses the grid-based FOCALSUM function in ArcGIS in conjunction with a fine grid of emission sources and basic information on meteorology to implement a simple Gaussian plume model of air pollution dispersion. STEMS-Air was developed and validated in London, UK, using data on concentrations of PM₁₀ from routinely available monitoring data. Results from the validation study show that STEMS-Air performs well in predicting both daily (at four sites) and annual (at 30 sites) concentrations of PM₁₀. For daily modelling, STEMS-Air achieved r² values in the range 0.19-0.43 (p < 0.001) based solely on traffic-related emissions and r² values in the range 0.41-0.63 (p < 0.001) when adding information on ‘background’ levels of PM₁₀. For annual modelling of PM₁₀, the model returned r² in the range 0.67-0.77 (P < 0.001) when compared with monitored concentrations. The model can thus be used for rapid production of daily or annual city-wide air pollution maps either as a screening process in urban air quality planning and management, or as the basis for health risk assessment and epidemiological studies.     

Ambient air pollution and daily mortality in Anshan, China: a time-stratified case-crossover analysis

Few case-crossover studies were conducted in China to investigate the acute health effects of air pollution. We conducted a time-stratified case-crossover analysis to examine the association between air pollution and daily mortality in Anshan, a heavily-polluted industrial city in northeastern China. Daily mortality, air pollution, and weather data in 2004-2006 in Anshan were collected. Time-stratified case-crossover approach was used to estimate the effect of air pollutants (PM₁₀, SO₂, NO₂ and CO) on total and cardiopulmonary mortality. Controls were selected as matched days of the week in the same month. Potential effect modifiers, such as gender and age, were also examined. We found significant associations between air pollution and daily mortality from cardiovascular diseases in Anshan. A 10 μg/m³ elevation of 2-day moving average (lag 01) concentration in PM₁₀, SO₂, NO₂ and CO corresponded to 0.67% (95% CI: 0.29%, 1.04%), 0.38% (95% CI: −0.06%, 0.83%), 2.11% (95% CI: 0.22%, 4.00%) and 0.04% (95% CI: 0.01%, 0.07%) increase of cardiovascular mortality. The associations for total and respiratory mortality were generally positive but statistically insignificant. The air pollution health effects were significantly modified by age, but not by gender. Conclusively, our study showed that short-term exposure to air pollution was associated with increased cardiovascular mortality in Anshan. These findings may have implications for local environmental and social policies.     

Modelling air pollution for epidemiologic research — Part I: A novel approach combining land use regression and air dispersion

A common limitation of epidemiological studies on health effects of air pollution is the quality of exposure data available for study participants. Exposure data derived from urban monitoring networks is usually not adequately representative of the spatial variation of pollutants, while personal monitoring campaigns are often not feasible, due to time and cost restrictions. Therefore, many studies now rely on empirical modelling techniques, such as land use regression (LUR), to estimate pollution exposure. However, LUR still requires a quantity of specifically measured data to develop a model, which is usually derived from a dedicated monitoring campaign. A dedicated air dispersion modelling exercise is also possible but is similarly resource and data intensive.This study adopted a novel approach to LUR, which utilised existing data from an air dispersion model rather than monitored data. There are several advantages to such an approach such as a larger number of sites to develop the LUR model compared to monitored data. Furthermore, through this approach the LUR model can be adapted to predict temporal variation as well as spatial variation. The aim of this study was to develop two LUR models for an epidemiologic study based in Greater Manchester by using modelled NO₂ and PM₁₀ concentrations as dependent variables, and traffic intensity, emissions, land use and physical geography as potential predictor variables. The LUR models were validated through a set aside “validation” dataset and data from monitoring stations.The final models for PM₁₀ and NO₂ comprised nine and eight predictor variables respectively and had determination coefficients (R²) of 0.71 (PM₁₀: Adj. R² = 0.70, F = 54.89, p < 0.001, NO₂: Adj. R² = 0.70, F = 62.04, p < 0.001). Validation of the models using the validation data and measured data showed that the R² decreases compared to the final models, except for NO₂ validation in the measured data (validation data: PM₁₀: R² = 0.33, NO₂: R² = 0.62; measured data: PM₁₀: R² = 0.56, NO₂: R² = 0.86). The validation further showed low mean prediction errors and root mean squared errors for both models.     

Burden of disease attributed to anthropogenic air pollution in the United Arab Emirates: Estimates based on observed air quality data

This study quantifies the national burden of disease attributed to particulate matter (PM) and ozone (O₃) in ambient air in the United Arab Emirates (UAE), a rapidly growing nation in which economic development and climatic conditions pose important challenges for air quality management. Estimates of population exposure to these air pollutants are based on observed air quality data from fixed-site monitoring stations. We divide the UAE into small grid cells and use spatial-statistical methods to estimate the ambient pollutant concentrations in each cell based on the observed data. Premature deaths attributed to PM and O₃ are computed for each grid cell and then aggregated across grid cells and over a year to estimate the total number of excess deaths attributable to ambient air pollution. Our best estimate is that approximately 545 (95% CI: 132-1224) excess deaths in the UAE in the year 2007 are attributable to PM in ambient air. These excess deaths represent approximately 7% (95% CI: 2-17%) of the total deaths that year. We attribute approximately 62 premature deaths (95% CI: 17-127) to ground-level O₃ for the year 2007. Uncertainty in the natural background level of PM, due to the frequent dust storms occurring in the region, has significant impacts on the attributed mortality estimates. Despite the uncertainties associated with the integrated assessment framework, we conclude that anthropogenic ambient air pollution, in particular PM, causes a considerable public health impact in the UAE in terms of premature deaths. We discuss important uncertainties and scientific hypotheses to be investigated in future work that might help reduce the uncertainties in the burden of disease estimates.     

Mapping of background air pollution at a fine spatial scale across the European Union

Background

There is a need to understand much more about the geographic variation of air pollutants. This requires the ability to extrapolate from monitoring stations to unsampled locations. The aim was to assess methods to develop accurate and high resolution maps of background air pollution across the EU.

Methods

We compared the validity of ordinary kriging, universal kriging and regression mapping in developing EU-wide maps of air pollution on a 1 × 1 km resolution. Predictions were made for the year 2001 for nitrogen dioxide (NO₂), fine particles < 10 µm (PM₁₀), ozone (O₃), sulphur dioxide (SO₂) and carbon monoxide (CO) using routine monitoring data in Airbase. Predictor variables from EU-wide databases were land use, road traffic, population density, meteorology, altitude, topography and distance to sea. Models were developed for the global, rural and urban scale separately. The best method to model concentrations was selected on the basis of predefined performance measures (R², Root Mean Square Error (RMSE)).

Results

For NO₂, PM₁₀ and O₃ universal kriging performed better than regression mapping and ordinary kriging. Validation of the final universal kriging estimates with results from all validation sites gave R²-values and RMSE-values of 0.61 and 6.73 µg/m³ for NO₂; 0.45 and 5.19 µg/m³ for PM₁₀; and 0.70 and 7.69 µg/m³ for O₃. For SO₂ and CO none of the three methods was able to provide a satisfactory prediction.

Conclusion

Reasonable prediction models were developed for NO₂, PM₁₀ and O₃ on an EU-wide scale. Our study illustrates that it is possible to develop detailed maps of background air pollution using EU-wide databases.     

The short-term effect of air pollution on cardiovascular mortality in Tianjin, China: comparison of time series and case-crossover analyses

Background

Many studies have illustrated that ambient air pollution negatively impacts on health. However, little evidence is available for the effects of air pollution on cardiovascular mortality (CVM) in Tianjin, China. Also, no study has examined which strata length for the time-stratified case-crossover analysis gives estimates that most closely match the estimates from time series analysis.

Objectives

The purpose of this study was to estimate the effects of air pollutants on CVM in Tianjin, China, and compare time-stratified case-crossover and time series analyses.

Method

A time-stratified case-crossover and generalized additive model (time series) were applied to examine the impact of air pollution on CVM from 2005 to 2007. Four time-stratified case-crossover analyses were used by varying the stratum length (Calendar month, 28, 21 or 14 days). Jackknifing was used to compare the methods. Residual analysis was used to check whether the models fitted well.

Results

Both case-crossover and time series analyses show that air pollutants (PM₁₀, SO₂ and NO₂) were positively associated with CVM. The estimates from the time-stratified case-crossover varied greatly with changing strata length. The estimates from the time series analyses varied slightly with changing degrees of freedom per year for time. The residuals from the time series analyses had less autocorrelation than those from the case-crossover analyses indicating a better fit.

Conclusion

Air pollution was associated with an increased risk of CVM in Tianjin, China. Time series analyses performed better than the time-stratified case-crossover analyses in terms of residual checking.     

Economic aspects of international air pollution control policies

National air pollution policies in a free‐market economy, a mixed economy, and a centrally planned economy are analyzed. The mechanisms of these control policies appear to be influenced to a small extent by national economic structure. However, the national policies are primarily determined by a central governmental agency for all three types of economies.

Similarly, international control policies will be enacted by organizations that have been granted the required authority by the nations involved in the air pollution problem. Theoretical consideration of classsical economics suggests that an optimum solution can only be achieved by an international control policy if there is international cooperation. This can be best achieved when international cooperation between countries involved already exists for other economic or administrative purposes.     

城市居住环境设计中关于邻里交往问题的思考

指出如何促进邻里交往、构建和谐社区是当前居住环境设计面临的巨大挑战,从邻里交往的现状出发,分析了邻里关系淡漠的原因,进而提出一系列促进邻里交往的环境设计手段,以改善邻里交往问题。     

A proper choice of route significantly reduces air pollution exposure--a study on bicycle and bus trips in urban streets

A proper selection of route through the urban area may significantly reduce the air pollution exposure. This is the main conclusion from the presented study. Air pollution exposure is determined for two selected cohorts along the route going from home to working place, and back from working place to home. Exposure is determined with a street pollution model for three scenarios: bicycling along the shortest possible route, bicycling along the low exposure route along less trafficked streets, and finally taking the shortest trip using public transport. Furthermore, calculations are performed for the cases the trip takes place inside as well as outside the traffic rush hours. The results show that the accumulated air pollution exposure for the low exposure route is between 10% and 30% lower for the primary pollutants (NO(x) and CO). However, the difference is insignificant and in some cases even negative for the secondary pollutants (NO(2) and PM(10)/PM(2.5)). Considering only the contribution from traffic in the travelled streets, the accumulated air pollution exposure is between 54% and 67% lower for the low exposure route. The bus is generally following highly trafficked streets, and the accumulated exposure along the bus route is therefore between 79% and 115% higher than the high exposure bicycle route (the short bicycle route). Travelling outside the rush hour time periods reduces the accumulated exposure between 10% and 30% for the primary pollutants, and between 5% and 20% for the secondary pollutants. The study indicates that a web based route planner for selecting the low exposure route through the city might be a good service for the public. In addition the public may be advised to travel outside rush hour time periods.     

Indoor air pollution in old people's homes related to some health problems: a survey study

The present research reports on a survey of 96 subjects between the ages of 60 and 95 years, living close to Paris in a social collective habitat. The aim was to show, using goodness-of-fit statistical tests (P < 0.1), how old people lifestyles can subject them to generated chemical or bacteriological indoor pollutants. Risk factors due to lifestyles were analyzed in relation to complaints and to health condition. There are many ways that old people are exposed to pollutants: difficulty in maintaining the residence, preference for staying in the kitchens, substantial use of cleaning chemicals. However, the principal risk for health problems is arguably inadequate ventilation (unclean screens, blocked air vents, etc.), which increases the concentration of indoor pollutants. These risks are amplified by ignorance about the hazards of inadequate ventilation. PRACTICAL IMPLICATIONS: The present investigation suggests that the lifestyle and the behavior of old people could be the cause of an interior air pollution of their housing. Measures realized in representative dwellings selected in relation to results must confirm that these risks would require the installation of an automatic monitoring system of the indoor air near these people.