Air quality management in the WHO European Region — Results of a quality assurance and control programme on air quality monitoring (1994–2004)

Since the last decade the WHO Collaborating Centre for Air Quality Management and Air Pollution Control, Berlin, Germany, operates a quality assurance and control (QA/QC) programme on air quality monitoring in the WHO European Region. As main activity Intercomparison workshops have been established for air monitoring network laboratories on a regular basis to harmonise air quality measurements, analysis and calibration techniques. 36 air hygiene laboratories of public health and environmental institutions of 24 countries participated in twelve Intercomparisons between 1994 and 2004. The majority was carried out for NO, NO₂, SO₂ and O₃. The results were predominantly satisfactory for automatic methods. The results of manual methods were mainly in a good, and for several concentration levels partly very good accordance with the data obtained by the monitors.     

Assessment of ambient air quality in Eskişehir, Turkey

This paper presents an assessment of air quality of the city Eski?ehir, located 230 km southwest to the capital of Turkey. Only five of the major air pollutants, most studied worldwide and available for the region, were considered for the assessment. Available sulphur dioxide (SO(2)), particulate matter (PM), nitrogen dioxide (NO(2)), ozone (O(3)), and non-methane volatile organic carbons (NMVOCs) data from local emission inventory studies provided relative source contributions of the selected pollutants to the region. The contributions of these typical pollution parameters, selected for characterizing such an urban atmosphere, were compared with the data established for other cities in the nation and world countries. Additionally, regional ambient SO(2) and PM concentrations, determined by semi-automatic monitoring at two sites, were gathered from the National Ambient Air Monitoring Network (NAAMN). Regional data for ambient NO(2) (as a precursor of ozone as VOCs) and ozone concentrations, through the application of the passive sampling method, were provided by the still ongoing local air quality monitoring studies conducted at six different sites, as representatives of either the traffic-dense-, or coal/natural gas burning residential-, or industrial/rural-localities of the city. Passively sampled ozone data at a single rural site were also verified with the data from a continuous automatic ozone monitoring system located at that site. Effects of variations in seasonal-activities, newly established railway system, and switching to natural gas usage on the temporal changes of air quality were all considered for the assessment. Based on the comparisons with the national [AQCR (Air Quality Control Regulation). Ministry of Environment (MOE), Ankara. Official Newspaper 19269; 1986.] and a number of international [WHO (World Health Organization). Guidelines for Air Quality. Geneva; 2000. Downloaded in January 2006, website: http://www.who.int/peh/; EU (European Union). Council Directive 1999/30/EC relating to limit values for sulfur dioxide, nitrogen dioxide and lead in ambient air. Of J Eur Communities L 163: 14-30; 29.6.1999; EU (European Union). Council Directive 2002/3/EC relating to ozone in ambient air. Of J Eur Communities. L 67: 14-30; 9.3.2002.; USEPA (U.S. Environmental Protection Agency). National Ambient Air Quality Standards (NAAQS). Downloaded in January 2006, website: http://www.epa.gov/ttn/naaqs/] ambient air standards, among all the pollutants studied, only the annual average SO(2) concentration was found to exceed one specific limit value (EU limit for protection of the ecosystem). A part of the data (VOC/NO(x) ratio), for determining the effects of photochemical interactions, indicated that VOC-limited regime was prevailing throughout the city.     

Assessment of ambient air quality in Eskişehir, Turkey

This paper presents an assessment of air quality of the city Eskişehir, located 230 km southwest to the capital of Turkey. Only five of the major air pollutants, most studied worldwide and available for the region, were considered for the assessment. Available sulphur dioxide (SO₂), particulate matter (PM), nitrogen dioxide (NO₂), ozone (O₃), and non-methane volatile organic carbons (NMVOCs) data from local emission inventory studies provided relative source contributions of the selected pollutants to the region.The contributions of these typical pollution parameters, selected for characterizing such an urban atmosphere, were compared with the data established for other cities in the nation and world countries. Additionally, regional ambient SO₂ and PM concentrations, determined by semi-automatic monitoring at two sites, were gathered from the National Ambient Air Monitoring Network (NAAMN). Regional data for ambient NO₂ (as a precursor of ozone as VOCs) and ozone concentrations, through the application of the passive sampling method, were provided by the still ongoing local air quality monitoring studies conducted at six different sites, as representatives of either the traffic-dense-, or coal/natural gas burning residential-, or industrial/rural-localities of the city. Passively sampled ozone data at a single rural site were also verified with the data from a continuous automatic ozone monitoring system located at that site. Effects of variations in seasonal-activities, newly established railway system, and switching to natural gas usage on the temporal changes of air quality were all considered for the assessment. Based on the comparisons with the national [AQCR (Air Quality Control Regulation). Ministry of Environment (MOE), Ankara. Official Newspaper 19269; 1986.] and a number of international [WHO (World Health Organization). Guidelines for Air Quality. Geneva; 2000. Downloaded in January 2006, website: http://www.who.int/peh/; EU (European Union). Council Directive 1999/30/EC relating to limit values for sulfur dioxide, nitrogen dioxide and lead in ambient air. Of J Eur Communities L 163: 14–30; 29.6.1999; EU (European Union). Council Directive 2002/3/EC relating to ozone in ambient air. Of J Eur Communities. L 67: 14–30; 9.3.2002.; USEPA (U.S. Environmental Protection Agency). National Ambient Air Quality Standards (NAAQS). Downloaded in January 2006, website: http://www.epa.gov/ttn/naaqs/] ambient air standards, among all the pollutants studied, only the annual average SO₂ concentration was found to exceed one specific limit value (EU limit for protection of the ecosystem). A part of the data (VOC/NO_x ratio), for determining the effects of photochemical interactions, indicated that VOC-limited regime was prevailing throughout the city.     

Changing air quality in Delhi,India: determinants,trends, and policy implications

Air pollution is a major environmental problem in urban areas worldwide. Delhi, the capital city of India, is no exception to the universal pattern of deteriorating urban air quality with concentration of pollutants being well above the recommended WHO levels. The magnitude and urgency of the problem as a global environmental issue needs a systematic understanding of the potential causes of pollution and their contribution to air quality. In the present study, ambient air quality data (1987–2006) of SO₂, NO₂, SPM, and RSPM were analyzed to asses the changing air quality in the study area and to evaluate the effect of measures taken to control it. The primary data were collected from 1,583 households to examine the relationship between outdoor and indoor pollution level. Based on the data, the current study concludes that despite the implementation of different pollution-controlling measures, the pollutants, especially the particulate pollutants, were well above the standard limits set by CPCB. Integration between technological and social approach of urban planning is required to mitigate and manage urban environmental problems in sustainable manner.     

A review of traffic-related air pollution exposure assessment studies in the developing world

Exposure assessment studies in the developing world are important. Although recent years have seen an increasing number of traffic-related pollution exposure studies, exposure assessment data on this topic are still limited. Differences among measuring methods and a lack of strict quality control in carrying out exposure assessment make it difficult to generalize and compare findings between studies. In this article, exposure assessment studies carried out in the developing world on several traffic-related air pollutants are reviewed. These pollutants include particulate matter (PM), carbon monoxide (CO), nitrogen dioxide (NO(2)), volatile organic compounds (VOCs), and polycyclic aromatic hydrocarbons (PAHs). In addition, it discusses advantages and disadvantages of various monitoring methods (ambient fixed-site monitoring, microenvironment monitoring, and personal exposure assessment using portable samplers) for these pollutants in exposure assessment studies. Also included in this paper is a brief introduction of standards for these pollutants in ambient air or in occupational settings established by the United States Environmental Protection Agency (USEPA), the United States Occupational Safety and Health Administration (OSHA) and the World Health Organization (WHO). The review ends with a summary of the limitations and gaps in recent studies and suggestions for future research in the developing world.     

贵阳市主城区空气质量指数时空分布特征

为了解贵阳市主城区空气质量指数的时间分布和空间分布特征，采用时间序列法和插值法统计分析了2013~2015年贵阳市9个空气自动监测点SO2、NO2、PM10、PM25、CO的监测数据。结果表明：2013~2015年期间，贵阳市主城区空气质量整体良好,优于Ⅱ级空气质量标准，IAQISO2、IAQINO2、IAQIPM10、IAQIPM25、IAQICO的年均值呈现降低趋势, 空气污染物得到一定的控制；季节变化和月变化分析表现出冬季空气质量最差，夏季最好的特征。春节半月ISO2、IAQINO2、IAQIPM10、IAQIPM25的均值好于冬季均值，反映了工业和交通污染源的主控作用。空间分布上，IAQISO2、IAQINO2、IAQIPM10、IAQIPM25、IAQICO呈现“市区高，郊区低”的分布特征，空气质量指数较高的区域集中在贵阳市主城区中部和东北部     

长沙市两种空气质量预报方法检验对比

为探索新的空气质量预报方法，提高预报准确率，采用统计和对比方法，分析了长沙市空气质量现状，介绍了天气形势相似及动态逐步回归两种空气质量统计预报方法，并对其一年多的运行结果进行了检验和对比。结果表明，长沙市空气污染主要由PM\-\{10\}和SO\-2浓度超标引起, 且具有明显的空间分布特征;5年来长沙城市空气质量明显好转;两种预报方法对各污染物都有一定的预报能力，预报的误差绝对值多集中在30以内，而级别误差基本上在1级以内。两种方法对NO\-2的预报准确率均在98%左右,预报效果优良。绝对误差对比发现，两种预报方法对SO\-2的预报明显优于PM\-\{10\}预报；级别准确率对比时，两种预报方法对3种污染物的预报准确率相近。两种预报方法对3个污染因子的预报准确率呈现出NO\-2优于SO\-2优于PM\-\{10\}的趋势。     

Comparing urban air quality in Europe in real time a review of existing air quality indices and the proposal of a common alternative

The EU directives on air quality force member states to inform the public on the status of the ambient air quality. The Internet is commonly used for this purpose and often air quality is being presented as an index ranging from good to bad. A review of existing websites and air quality indices shows that the way air quality is interpreted differs considerably. The paper presents a new air quality index. The index is part of a project to develop a website dedicated to comparing air quality in European cities. The common air quality index (CAQI) is not aimed at replacing existing local indices. The CAQI is a set of two indices: one for roadside monitoring sites and one for average city background conditions. Differentiating between roadside and general city conditions is a first step in assuring consistence in the parameters that are being compared.     

Air quality in the 21st century: community outreach in North Central Texas

Public education campaigns, to be successful, must repeat simple, consistent messages over time, using various sources and media. During the 2000, 2001, and 2002 ozone seasons, the North Central Texas Council of Governments (NCTCOG) employed a four-pronged, multimedia approach to educate the public about air quality in the Dallas/Fort Worth (DFW) region. The four-pronged approach included several varied information sources:The new Air Pollution Watch/Warning system based on public health and designed using standard meteorological terminology with notices delivered via e-mail, over the radio, during TV weather forecasts, and on electronic road signs.A revamped Web page, including information about current air quality, ozone exceedances, clean air public meetings, and how to "Do Your Share for Cleaner Air".A PowerPoint presentation used to explain the basics of ozone air pollution, the new Air Pollution Watch/Warning system, and the new Dallas/Fort Worth Clean Air Plan to a variety of constituencies, including the media, scientific/technical/academic groups, elected officials, and community/civic organizations.Newsletter updates, published in the Environmental Resources Department's InsidER (with a circulation of around 1500), to educate and keep the public up-to-date about various air quality issues.This paper provides details about the four-pronged approach, and how it incorporates principles of successful public education campaigns.     

“2+26”城市治霾方案效果评估:以山东省为案例的研究

以京津冀大气污染传输通道“2+26”城市为对象的区域性雾霾专项治理已经开展两年有余。要判断“2+26”城市治霾方案的实施是否取得了显著成效需要通过科学的实证分析加以验证。采集山东省13个内陆城市2016—2018年每日空气质量指数(AQI)、六种单项污染物(PM 2.5、PM 10、SO 2、NO 2、CO、O 3)浓度以及气象条件等数据,以其中属于“2+26”城市的7城市作为实验组,其余6城市作为对照组,基于双重差分法,对“2+26”城市治霾方案在山东省相关城市的实施效果进行评估,试图分离方案实施所带来的环境效应。结果表明:①“2+26”城市治霾方案的实施总体上有效,对污染传输通道7城市空气质量指数(AQI)指标的降低发挥了显著作用。②“2+26”城市治霾方案对污染传输通道城市的PM 2.5、PM 10、CO浓度的降低有显著贡献,但对SO 2、NO 2和O 3指标的改善贡献并不明显。③对方案进行分时段动态效应分析发现,《京津冀及周边地区2017年大气污染防治工作方案》的发布并未对污染传输通道城市空气质量改善产生立竿见影的效果,而《京津冀及周边地区2017—2018年秋冬季大气污染综合治理攻坚行动方案》《京津冀及周边地区2018—2019年秋冬季大气污染综合治理攻坚行动方案》的落实和执行才是“2+26”城市治霾方案显著见效的保障。该研究在严格遵守双重差分法前提条件的同时,还通过了一系列稳健性检验确保评估结果的可靠性。     

Local air quality management as a risk management process: assessing, managing and remediating the risk of exceeding an air quality objective in Great Britain

Air quality is managed in Great Britain via an effects-based, risk management process designed to provide a dynamic solution to public health issues associated with elevated concentrations of seven specified air pollutants. This paper is concerned with an examination and evaluation of the process of Local Air Quality Management (LAQM) in Great Britain from the late 1980s to date as a risk management process. The statutory basis of LAQM process is provided by the Environment Act 1995. The Act provides a framework in which national and local actions are required to identify and remediate areas of poor air quality. Within this framework, the implementation of the process at national and local levels is considered, leading to an identification and assessment of risks in the formulation and implementation of air quality management policy and practice. Local Authorities began the process of Review and Assessment in 1999 and the first round of the process concluded in 2001. Following this, some 129 Local Authorities declared one or more Air Quality Management Areas (AQMAs). The Review and Assessment elements of the framework were subjected to an evaluation in 2001 and the essential elements of it were confirmed as fit for purpose. The evaluation led to a confirmation of the process of LAQM but also a simplification based on the experience of Round 1. Now, a two step process is required comprising of an Updating and Screening Assessment and, where a risk of exceeding an Air Quality Objective (AQO) is identified, a Detailed Assessment follows. The Government has identified a time scale for Review and Assessment through to 2010 and also introduced the requirement of a regular Progress Report in order that a Local Authority is able to address routine matters of air quality management. The risks inherent in epidemiological or scientific uncertainty are factored into the LAQM process at an early stage of the process and, by identifying the risks and subjecting them to regular review, the process provides a 'level playing field' across spatial and temporal scales. Whilst the process of LAQM described in this paper has been developed for Great Britain, the generic elements of the process are applicable to other countries challenged by air pollution problems which require both national and local action to resolve them.     

Evaluation of some air pollution indicators in Turkey

This article intends to shed a light on air quality in Turkey and compare air pollutant emissions on a national scale with that of the European countries. In order to estimate the quantities of Turkish emissions in the past and their future predictions, a national emission inventory was prepared with respect to five major pollutants consisting of particulate matter(PM), SOx, NOx, non-methane volatile organic compounds, and CO with 5-year intervals between 1985 and 2005. The results suggest that Turkey is a rather large emission source at the European scale, although emission indicators on unit area and per capita were shown to be somewhat smaller in magnitude. Levels of air pollution in some of the big cities in Turkey were also evaluated from available national monitoring data. These evaluations for the urban air qualities covered SO2 and PM parameters between 1986 and 1996, and results were compared with the present Turkish air quality limits, their probable revisions, WHO (Europe) guidelines and related EC directives. Results showed that the air quality limits were not met, especially during the winter periods in Turkish cities. Urban air pollutants characterizing the air in Turkish cities other than SO2 and PM, however, could not have been evaluated as these pollutants were not systematically monitored in these cities.     

The relationship of climatic and hydrological parameters to surface water quality in the lower Mekong River

The relationship between climatic, hydrological and water quality parameters of the lower Mekong River flowing through four different countries (Thailand, Cambodia, Lao PDR and Vietnam) was studied. The Mekong River Commission (MRC) secondary data of climatic and hydrological parameters included precipitation, evaporation, average air temperatures, mean water level and discharge flow. Water quality parameters consisted of TSS, NO(3)(-), PO(4)(3-), DO, pH, conductivity, Ca, Mg, Na, K, alkalinity, Cl, SO(4)(2-), Fe, TP, Si and COD. Pearson's correlation was used to determine their relationship. The results reveal that the correlations of climatic, hydrological and water quality parameters in those four countries located along the lower Mekong River had the same trend. Precipitation had fair positive correlations with mean water level (ranging 0.375-0.661), discharge flow (ranging 0.526-0.659) and mean air temperature (ranging 0.515-0.621), however had weak negative correlation with evaporation (ranging 0.169-0.468). Concerning relationship with water quality, the results show that TSS, NO(3)(-), PO(4)(3-), TP and COD had weak to fair positive correlations with precipitation, mean water level, discharge flow. However, DO, pH, conductivity, Ca, Mg, Na, K, alkalinity, Cl, SO(4)(2-) and Si had fair to strong negative correlations with all hydrological parameters. Finally, TSS, alkalinity and conductivity were proposed as sensitive water quality parameters for monitoring impacts of changing climate in the lower Mekong River.     

Characterizing multi-pollutant air pollution in China: Comparison of three air quality indices

Multi-pollutant air pollution (i.e., several pollutants reaching very high concentrations simultaneously) frequently occurs in many regions across China. Air quality index (AQI) is used worldwide to inform the public about levels of air pollution and associated health risks. The current AQI approach used in China is based on the maximum value of individual pollutants, and does not consider the combined health effects of exposure to multiple pollutants. In this study, two novel alternative indices – aggregate air quality index (AAQI) and health-risk based air quality index (HAQI) – were calculated based on data collected in six megacities of China (Beijing, Shanghai, Guangzhou, Shjiazhuang, Xi'an, and Wuhan) during 2013 to 2014. Both AAQI and HAQI take into account the combined health effects of various pollutants, and the HAQI considers the exposure (or concentration)-response relationships of pollutants. AAQI and HAQI were compared to AQI to examine the effectiveness of the current AQI in characterizing multi-pollutant air pollution in China. The AAQI and HAQI values are higher than the AQI on days when two or more pollutants simultaneously exceed the Chinese Ambient Air Quality Standards (CAAQS) 24-hour Grade II standards. The results of the comparison of the classification of risk categories based on the three indices indicate that the current AQI approach underestimates the severity of health risk associated with exposure to multi-pollutant air pollution. For the AQI-based risk category of ‘unhealthy’, 96% and 80% of the days would be ‘very unhealthy’ or ‘hazardous’ if based on AAQI and HAQI, respectively; and for the AQI-based risk category of ‘very unhealthy’, 67% and 75% of the days would be ‘hazardous’ if based on AAQI and HAQI, respectively. The results suggest that the general public, especially sensitive population groups such as children and the elderly, should take more stringent actions than those currently suggested based on the AQI approach during high air pollution events. Sensitivity studies were conducted to examine the assumptions used in the AAQI and HAQI approaches. Results show that AAQI is sensitive to the choice of pollutant irrelevant constant. HAQI is sensitive to the choice of both threshold values and pollutants included in total risk calculation.     

Development of an aggregate Air Quality Index for an urban Mediterranean agglomeration: relation to potential health effects

It is very useful for the authorities and the people to have daily easy understandable information about the levels of air pollution and the proper measures to be taken for the protection of human health. In this paper we develop an aggregate Air Quality Index (AQI) based on the combined effects of five criteria pollutants (CO, SO2, NO2, O3 and PM10) taking into account the European standards. We evaluate it for each monitoring station and for the whole area of Athens, Greece, an area with serious air pollution problems. A comparison was made with a modified version of Environmental Protection Agency/USA (USEPA) maximum value AQI model adjusted for European conditions. Hourly data of air pollutants from 4 monitoring stations, available during 1983-1999, were analysed for the development of the proposed index. The analysis reveals the Athenian population exposure reaches high levels and during last years a gradual increase of days with unhealthy conditions was detected. The proposed aggregate model estimates more effectively the exposure of citizens comparing with the modified USEPA maximum value model, because counts the impact of all the pollutants measured. Towards the informing and protection of the citizens in an urban agglomeration this model advantages as a political and administrative tool for the design of abatement strategies and effective measures of intervention.     

南昌市环境空气污染时空变化特征及影响因素研究

选取2014~2017年南昌市不同时间尺度AQI及主要空气污染物数据,利用GIS技术、神经网络分析、后向轨迹模型及地统计分析方法,分析了南昌市环境空气污染时空变化特征及影响因素。结果表明,南昌市近年来空气质量总体变化不大,空气质量等级以良为主,占全年比例为57%~61%。但首要污染物变化较大,即PM2.5比例显著下降,NO2和O3比例显著上升,PM10变化不大。南昌市空气污染季节变化显著,冬春季空气质量较差,以PM10、PM2.5污染为主,夏季空气质量最好,以O3污染为主。空气污染周变化以周末及周一污染较重、周四污染最轻,说明南昌市空气污染除了与群众出行习惯有关,还存在其他影响因素。南昌市空气质量日变化呈双峰型（9:00~11:00和20:00~22:00）,主要受上、下班高峰期带来的交通尾气影响。南昌市空气污染空间变化呈典型的“郊区-市区”分布,其中AQI、PM10、PM2.5、SO2、NO2、CO值均以市区较高、郊区较低,而O3的空间分布规律正好相反,这主要与城区NOx排放较多,O3易与其迅速反应而消耗有关。后向轨迹聚类分析结果表明,来自本地的短轨迹气团占比高,对PM2.5、PM10、NO2、O3的影响大。气象因素上,PM2.5、PM10、NO2受相对湿度影响较大,O3受温度影响较大。     

基于小波分析与Mann-Kendall法的上海市近12年空气质量变化

综合应用小波分析和Mann Kendall非参数检验方法,对上海市近12 a PM10、SO2和NO2逐日空气污染指数序列进行分析,揭示了空气污染变化的多尺度特征、变化趋势和突变特性,以深入了解上海市空气质量状况。结果表明：PM10、SO2和NO2污染序列呈现多尺度的变化特征,具有1 000 d和300 d左右的中、小时间尺度周期。在小尺度上,各序列具有300 d左右的主周期和30 d左右的次周期。空气污染具有“冬重夏轻”的特征,冬季和春季是污染比较严重的时段;2007年夏季以来,空气质量总体趋于好转。近12 a来各序列均呈显著的减少趋势;PM10序列突变开始于2006年7月3日前后,SO2于2010年3月21日前后,NO2则于2006年4月18日前后;突变后,各序列基本均呈显著的下降趋势。最后,提出了未来改善上海市空气质量的相关建议。     

Investigating the relationship between air pollution, health and social deprivation in Leeds, UK

This study examines the relationship between air pollution, social deprivation and health in the city of Leeds, UK under a baseline and three distance-based road user charging (RUC) scenarios set at 2 pence, 10 pence and 20 pence/km. Through application of a series of linked models of traffic, emission and pollutant dispersion, air quality was modelled in response to RUC scenarios. The pollutant modelled were NO(2), PM(10), CO, benzene and 1,3-butadiene, though results of NO(2) are used in this study. The RUC scenarios were compared with the 'base' scenario, all set for the year 2005. The RUC initiatives result in the differences in ambient concentrations of NO(2). The study correlates NO(2) concentrations with derived indices of social deprivation and health. The study concludes that positive but weak relationship exists between air quality and social deprivation, and indicates that deprived population groups are disproportionately exposed to higher NO(2) levels. The relationship between air quality and health status of the population is weak. There is a strong relationship between social deprivation and health status of the population. The study concludes that RUC scenarios result in reducing disparity between affluent and deprived populations.     

Comparison of indoor and outdoor air quality at two staff quarters in Hong Kong

The indoor and outdoor air quality of two staff quarters of Hong Kong Polytechnic University at Tsim Sha Tsui East (TSTE) and Shatin (ST) were investigated. The air sampling was carried out in winter for about two months starting from January to February of 1996. Fifteen flats from each staff quarter were randomly selected for indoor/outdoor air pollutant measurements. The pollutants measured were NO_x, NO, NO₂, SO₂, CO, and O₃. The variations of pollutant concentrations between indoor and outdoor air were investigated on weekday mornings, weekday evenings, weekend mornings, and weekend evenings. All indoor/outdoor pollutant concentrations measured did not exceed the ASHRAE/NAAQS standard. The carbon monoxide concentrations indoors were systemically higher than those outdoors at the TSTE and the ST quarters, both on weekdays and Sunday, which indicates there are CO sources indoors. Except for CO, the indoor levels of other pollutants (NO_x, NO, NO₂, SO₂, and O₃) are lower than those outdoors. There was a significant correlation (P < 0.05) between indoor and outdoor concentrations for SO₂ and O₃ at both the TSTE and the ST quarters. Except for O₃, the mean concentrations of all the pollutants in the TSTE quarters, both indoor and outdoor, were higher than that of the ST quarters in all sampling periods. All indoor and outdoor O₃ levels were lower at the TSTE quarters than those at the ST quarters. The O₃ ratios of TSTE/ST were 0.72 outdoor and 0.79 indoor. This can be explained by the NO titration reaction through NO conversion to NO₂.