Arctic air pollution: An overview of current knowledge

From December to April, the Arctic air mass is polluted by man-made mid-latitudinal emissions from fossil fuel combustion, smelting and industrial processes. In the rest of the year, pollution levels are much lower. This is the outcome of less efficient pollutant removal processes and better south (S) to north (N) transport during winter. In winter, the Arctic air mass covers much of Eurasia and N. America. Meteorological flow fields and the distribution of anthropogenic SO₂ emissions in the northern hemisphere favor northern Eurasia as the main source of visibility reducing haze. Observations of SO₄²⁻ concentrations in the atmosphere throughout the Arctic yield, depending on location and year, a January–April mean of 1.5–3.9 μg m⁻³ in the Norwegian Arctic to 1.2–2.2 μg m⁻³ in the N. American Arctic. An estimate of the mean vertical profile of fine particle aerosol mass during March and April shows that, on average, pollution is concentrated in the lower 5 km of the atmosphere. Not only are anthropogenic particles present in the Arctic atmosphere but also gases such as SO₂, perfluorocarbons and pesticides. The acidic nature and seasonal variation of Arctic pollution is reflected in precipitation, the snowpack and glacier snow in the Arctic. A pH of 4.9–5.2 in winter and ~ 5.6 in summer is expected in the absence of calcareous wind blown soil. Glacial records indicate that Arctic air pollution has undergone a marked increase since the mid 1950s paralleling a marked increase in SO₂ and NO_x emissions in Europe. Effects of Arctic pollution include a reduction in visibility and perturbation of the solar radiation budget in April–June. Potential effects are the acidification and toxification of sensitive ecosystems.     

Model experiments on the nature of air pollution transport near buildings

The paper describes wind tunnel experiments with rectangular blocks in uniform smooth and turbulent air flow to simulate the transport of windborne atmospheric pollutants near buildings. Dispersal is dominated by the flow in the areodynamic wakes of the blocks. Using light extinction apparatus, measurements were made of the time constant (t_d) of the decay of the amount of smoke in the separation bubble following abrupt removal of the smoke source, and of the bubble length (X). These quantities were expressed as H( Ut_d/S, where U is the air velocity and S the block dimension) and X/S respectively, found to be unique functions of the free-stream turbulence parameter, A( l_fK^1/2_f/SU, where l_f and k_f are the length scale and kinetic energy respectively of the free-stream turbulence), for cubic blocks in the ranges l_f/S ? 0.6 and k_f^1/2/U ?, 0.15. Visual observation of tracer smoke indicated the onset of re-attachment of the separated flow on the top and side faces of the cubes at relatively low levels of free-stream turbulence, coinciding with sharply varying behaviour in H and X/S. Measurements were also made of H and X/S for square-faced blocks of various lengthwise aspect ratios, and for cubic blocks at various angles of incidence to the flow.From consideration of the turbulent transport of entities of an atmospheric pollutant across the boundary of the wake bubble behind a building, an expression is derived for the mean concentration level that can build up inside the bubble for a source of known strength and location. It contains the two terms H and X/S which explicitly embody the complicated fluid mechanical properties of the near wake.     

Economic impacts of urban air pollution: valuation for Mumbai, India

Urban air pollution is on the rise in many cities of the world. There are associated health impacts that affect urban residents, especially the poor. By doing economic valuation, it is possible to draw the attention of citizens, policy-makers and, of course, researchers to the extent of damage and the value of it. In this paper, such a valuation is done using time-series data for the suburb of Mumbai called Chembur and cross-sectional data for several wards. We value mortality and morbidity from air pollution using the above data. It is shown that the pollution in Mumbai can lead to high health costs. In general the average cost amounts 0.26% of income due to highly subsidised treatment and poverty. However, 5% of patients who suffer severe attacks may pay as much as much as 19% of their income. Workdays lost are of equal importance to health expenditures. Distributional aspects of the damage are such that children and senior citizens are affected most.     

Influence of meteorological factors on air pollution concentration for a coastal region in India

A long-term study of measurement of concentration of NO_x, SO₂ and TSP pollutants have been done in a port and harbour region in India. Monthly measurements of gaseous and particulate pollutants were made at six monitoring stations from January 1997 to December 2000. Meteorological data was also simultaneously collected. In this study, the relationship between monitored ambient air quality data and meteorological factors, such as wind speed, temperature, is statistically analysed, using the SPSS package. The monthly mean concentrations of NO_x, SO₂ and TSP were in the range of 19.5–59.0 μg/m3, 8.6–51.3 μg/m3 and 88.2–199.3 μg/m3, respectively. The results show that TSP is strongly correlated with NO_x and SO₂ with a correlation coefficient of 0.83 and 0.82, respectively. The correlation coefficients for TSP, NO_x, and SO₂ with wind are –0.78, –0.78, and –0.88, respectively.     

An overview of environmental pollution prevention and management in China

This paper provides a broad overview of pollution prevention and management in China and details the specific measures that have been adopted at a national level. The paper begins by exploring some of the key environmental issues faced by China, and the history of environmental management in China. Then the current environmental legislation and standards in China are detailed, and the strategic pollution prevention measures that have been adopted are described. Next, the paper examines the environmental economic instruments and ethos that China appears to have adopted, and concludes by drawing a comparison with the development of pollution prevention in the western world and proposes a broad research agenda.     

Effects of air pollution on rice yield in the Pakistan Punjab

A study using open-top chambers ventilated with ambient or charcoal filtered air in the vicinity of Lahore, Pakistan demonstrated reductions of 42% and 37% in the grain yield of two cultivars of rice (Oryza sativa L.). This yield reduction was primarily due to the reduction in mean panicle number per plant, although significant effects of filtration on 1000 grain weight and the number of filled grains per panicle were also detected. The 6-h daily mean O(3) concentrations were only 10-20 nl litre(-1) during the monsoon season, but increased to 30-55 nl litre(-1) later in the growing season, while the mean NO(2) concentration during the experiment was 12 nl litre(-1). On the basis of experience in North America and Japan, the reductions in yield in the present study are substantially greater than might be predicted. The reasons for this discrepancy are discussed, together with the implications for effects on rice yield in other regions of south and south-east Asia.     

Tree-ring stable isotopes and historical perspectives on pollution - An overview

Hydrogen (δ²H), carbon (δ¹³C), oxygen (δ¹⁸O) and nitrogen (δ¹⁵N) isotopes of tree rings growing in field conditions can be indicative of past pollution effects. The characteristic δ¹³C trend is a positive shift generally explained by invoking closure of stomata, but experimental studies suggest that increased rates of carboxylation could also generate such trends. In many cases the δ¹⁸O and δ²H values decrease in trees exposed to pollution and exhibit inverse coinciding long-term trends with δ¹³C values. However, some trees exposed to diffuse pollution and experimental conditions can show an increase or no δ¹⁸O change even if δ¹³C values increase. These diverse responses depend on how stress conditions modify physiological functions such as stomatal conductance, carboxylation, respiration, and perhaps water assimilation by the root system. Recent studies suggest that δ¹⁵N changes in trees can be caused by soil acidification and accumulation of anthropogenic emissions with isotopic signals deviating from natural N.     

A structural decomposition analysis of air pollution from fossil fuel combustion in India

During the last decade, there has been worldwide concern with global climate change, which has been induced by greenhouse gases (GHGs) due to the use of fossil fuels. The CO₂ emissions from fossil fuel combustion have been identified as the single most significant source of GHG emissions into the atmosphere. Realising the need to control and regulate emissions of pollutants, the objective of the present study estimates the trend of CO₂, SO₂ and NO_x between the periods 1991-92 and 1996-97. An input-output structural decomposition analysis approach is used to determine their sources of change. It also provides a set of alternative scenarios for the year 2001-2 and 2006-7. The sources of changes in the amount of CO₂, SO₂ and NO_x emissions are categorised into four factors: the ecoefficiency, the structure of production, the structure of demand, and the volume of demand. Results indicate that the electricity sector contributes more towards direct, as well as indirect, emission coefficients. The petroleum product sector also contributes more in this respect. The dominant role is played by the structure of demand and the volume of demand.     

An approach for determining air pollution monitoring sites

EC Directive 2008/50/CE on ambient air quality and cleaner air for Europe specifies the obligations of Member States regarding fixed measurements of atmospheric pollutants in areas where maximum concentration levels exceed the lower assessment threshold. However, indications as to the siting of atmospheric monitoring stations are less precise and sometimes confusing. Campaigns to measure benzene and other volatile organic compounds in Murcia in 2007 and 2008 revealed that the areas where measurements coincided with the mean concentration for the whole city were always practically the same. Consequently, we propose a method for siting atmospheric monitoring stations in cities for which emission sources remain steady throughout the year, as is the case for cities in most southern European countries, where the most important emission source is traffic. The method is particularly useful for towns in which only one fixed measuring point is compulsory and should help local authorities in making correct decisions in this context.     

Effects of ambient air pollution on glycosylated hemoglobin: a systematic review and meta-analysis

Environmental Science and Pollution Research - Air pollution is one of the biggest environmental health problems in the world; accumulative studies have shown that air pollution was closely related...     

唐山市工业区大气污染对小学生肺功能的影响

探讨了工业区大气污染对小学生肺功能的影响。在唐山市工业区和相对清洁区选取452名小学生为研究对象,进行肺功能的测定和问卷调查。用多元回归分析建立模型后,以实测值占预计值的百分比为统计量进行分析。调查结果显示小学生肺功能指标中MVV、V25污染区低于对照区,VC、FEV、V25、V50的异常率高于对照区,且与大气中SO2的浓度有关。     

工业点源大气污染扩散空间信息系统

开发了一个基于高斯扩散的大气污染扩散空间信息系统,用于模拟工业点源污染对区域大气质量的影响。该工业点源污染模型包括工业点源数据库、扩散参数、气象条件和大气质量评价4个主要数据库。用该模型计算上海市主要工业区的SO2排放,结果表明,该模型为模拟SO2污染扩散提供了一个有效便捷的方法。     

空气污染暴露评价研究进展

介绍了暴露及暴露评价的基本概念、人体空气污染暴露评价的指示物及其特征,讨论暴露评价方法的类型,对各种方法的优、缺点进行了比较分析。根据综述和案例分析情况,对空气污染暴露评价研究的发展趋势进行了展望。     

Photochemical air pollution: Weekend-weekday differences

On weekends in Los Angeles County the average atmospheric concentrations of the primary reactants, NO and reactive hydrocarbons, leading to photochemical air pollution decrease. The behavior of oxidant concentration (used as a measure of the products of the photochemical reactions) usually does not follow that of the primary pollutants. In fact, we find that for most of the year the average weekend oxidant concentration is higher than the corresponding weekday value, despite the lowered emissions. However, for areas and times of particularly high oxidant concentration, for example at inland stations during the summer months, the oxidant levels do decrease on weekends. Thus care must be taken when designing short-term oxidant control strategies, as indiscriminant application of short-term traffic decreases to random days could be counterproductive. Such strategies, however, might be useful for days and places of particularly high oxidant concentration and further research to delineate the requisite conditions for the success of such strategies is in process.     

Estimates of the economic damage due to the soiling of residential buildings induced by air pollution in Italy

Environmental Science and Pollution Research - The soiling of the external façades of buildings caused by air pollution has economic costs that are generally not borne entirely by the...     

An interprovincial cooperative game model for air pollution control in China

The noncooperative air pollution reduction model (NCRM) that is currently adopted in China to manage air pollution reduction of each individual province has inherent drawbacks. In this paper, we propose a cooperative air pollution reduction game model (CRM) that consists of two parts: (1) an optimization model that calculates the optimal pollution reduction quantity for each participating province to meet the joint pollution reduction goal; and (2) a model that distribute the economic benefit of the cooperation (i.e., pollution reduction cost saving) among the provinces in the cooperation based on the Shapley value method. We applied the CRM to the case of SO₂ reduction in the Beijing–Tianjin–Hebei region in China. The results, based on the data from 2003–2009, show that cooperation helps lower the overall SO₂ pollution reduction cost from 4.58% to 11.29%. Distributed across the participating provinces, such a cost saving from interprovincial cooperation brings significant benefits to each local government and stimulates them for further cooperation in pollution reduction. Finally, sensitivity analysis is performed using the year 2009 data to test the parameters’ effects on the pollution reduction cost savings.

Implications: China is increasingly facing unprecedented pressure for immediate air pollution control. The current air pollution reduction policy does not allow cooperation and is less efficient. In this paper we developed a cooperative air pollution reduction game model that consists of two parts: (1) an optimization model that calculates the optimal pollution reduction quantity for each participating province to meet the joint pollution reduction goal; and (2) a model that distributes the cooperation gains (i.e., cost reduction) among the provinces in the cooperation based on the Shapley value method. The empirical case shows that such a model can help improve efficiency in air pollution reduction. The result of the model can serve as a reference for Chinese government pollution reduction policy design.