Background: Recent epidemiological studies investigating the modifying effect of air temperature in ozone–mortality associations lack consensus as how to adjust for nonlinear and lagged temperature effect in addition to including an interaction term. Methods: We evaluated the influence of temperature confounding control on temperature-stratified ozone–mortality risks in a time series setting in eight European cities and 86 US cities, respectively. To investigate potential residual confounding, we additionally incorporated next day’s ozone in models with differing temperature control. Results: Using only a categorical variable for temperature or only controlling nonlinear effect of low temperatures yielded highly significant ozone effects at high temperatures but also significant residual confounding in both regions. Adjustment for nonlinear effect of temperature, especially high temperatures, substantially reduced ozone effects at high temperatures and residual confounding. Conclusions: Inadequate control for confounding by air temperature leads to residual confounding and an overestimation of the temperature-modifying effect in studies of ozone-related mortality.
Introduction: Traffic and mobile sources are possibly responsible to the most of the ambient volatile organic compounds (VOCs) in urban areas. This study aimed to measure and determine the traffic - related concentrations of benzene, toluene, ethylbenzene, xylenes, formaldehyde, and acetaldehyde at the main streets of Tehran, Iran. Materials and methods: The samples were taken from highly populated streets or main roads with heavy traffic in Central, Northern, Eastern, Southern, and Western areas of Tehran. In total, 33 points for BTEX and 23 points for formaldehyde and acetaldehyde were selected for sampling. The sampling and analysis were performed according to NIOSH methods 1501 and 2016. Results: The averages (± SD) of benzene, toluene, ethylbenzene, xylenes, formaldehyde and acetaldehyde concentrations in Tehran were 15.04 (± 9.18), 23.42 (± 8.73), 4.97 (± 2.55), 11.81 (± 4.46), 107.11 (± 30.58) and 57.10 (± 18.28) ppbv, respectively. Benzene concentrations were 3.30 to 26.00 times higher than air quality standard of European Union (5 μg / m3). High concentrations of BTEX and formaldehyde / acetaldehyde were found in central and eastern areas, respectively. High correlation coefficients were found between BTEX species (r = 0.77-0.95) and also formaldehyde and acetaldehyde (r = 0.98). The highest coefficient of variation (CoV) as a measure of spatial variability was observed for benzene (54.5 %). Conclusion: The high outdoor concentrations observed in this study needs to be decreased immediately, especially in case of benzene.
Introduction: Most vehicles with over 20 years of age have low combustion efficiency by no catalytic converters. One of the most important ways to control and reduce emissions from vehicles is to conduct periodic technical inspection (PTI). According to the regulations of each country, the frequency of periodic technical inspection is different and is determined by the quality of air. Materials and methods: Data of light vehicles, which had been tested in 2010, was collected from Tehran vehicle technical inspection bureau. Collected information of data on vehicles manufactured from 2004 to 2008 including Pride, Peugeot 206, Peugeot 405, Peugeot Pars, Samand and Roa. About 248865 and 236084 vehicles were studied for HC and CO emissions, respectively. Results: According to results one vehicle among every 6 Roa, every 14 Pride, every 22 Peugeot 405, every 40 Peugeot 206, every 125 Samand and every 111 Peugeot Pars, which were referred to technical inspection centers for first time, two years after manufacture, had higher pollutants emission compared to the permitted standards. Conclusion: The results showed that if the periodic technical inspection intervals of vehicles increase from two years to more than two years, for example to five years, about 17.5 % of Peugeot 405 and 10.8 % of pride will be recorded for CO emissions higher than standard rate. Also, about 62 % of new vehicles will have higher levels of HC emissions, which can cause air pollution and an increase in the concentration of pollutants and eventually cause serious harm to public health.
Introduction: Noise pollution has become one of the most serious environmental issues in the large cities of Iran. Although several studies have been conducted on noise pollution in different Iranian cities, to date no such study has been done in Shiraz, a city of roughly 1,250,000. Therefore, the aim of this study was to provide a map of noise pollution in Shiraz and compare the levels of noise pollution in different parts of the city. Materials and methods: For this study, 33 areas were selected in Shiraz. The level of noise pollution was measured at the hours of 008:00, 13:00, 18:00 and 22:00. Then, with the aid of ANOVA, the level of noise pollution in each area was compared to those of other areas of the city. Finally, with the help of ArcView GIS, noise pollution maps of Shiraz were prepared. Results: The results of this study showed that the average noise pollution of Shiraz at the hours of 08:00, 13:00, 18:00 and 22:00 was 58.55, 59.56, 61.1 and 61.07 dB, respectively. On Mondays and Wednesdays, averaging 61.4 and 62 dB, respectively, the highest noise pollution was found in the city of Shiraz. This city’s lowest noise pollution occurred on Friday, Iran’s weekend and day of religious observance, with an average of 56 dB. Conclusion: Some parts of Shiraz at 13:00, 18:00, and 22:00 had higher noise pollution (70 dB). This study was carried out in late summer 2018, so it is recommended that such studies be conducted in other seasons. The results of this study can be used to create a comprehensive noise pollution management plan in Shiraz.
Background/aim The link between particulate matter (PM) exposure and health has been widely explored in epidemiological literature. However, the availability of environmental data is limited to urban settings and little is known about the health effects of PM in rural areas. Our aim is to evaluate a causal association between PM10 and cause-specific mortality in Latium Region (centre Italy) during 2006–2012. Methods We used satellite data combined with spatial predictors in 3-stage mixed models to obtain daily PM10 values on a grid map of 1 × 1 km cells in the Region. For each municipality, we averaged daily PM10 values of each cell in a single yearly value. We used a difference-in-differences approach to estimate a causal relationship between annual PM10 exposure and non-accidental, cardiovascular, and respiratory mortality. We applied Poisson regression models adjusted for municipality and calendar year in order to focus on municipality-levels annual fluctuations of exposure and mortality. In addition, we also added terms for mean and standard deviation (SD) of winter and summer temperatures to account for potential meteorological confounders displaying different temporal trends across municipalities. Results During 2006–2012 we observed 3 47 699 deaths for non-accidental, 92 787 for cardiovascular and 16 509 for respiratory causes in 378 municipalities of Latium Region. The average PM10 concentration during the period was 21.9 mg/m3 (SD 4.9) in Latium. The mean winter and summer temperatures were 11.9, and 17.8°C, while the respective SDs were 2.7°C and 3.9°C. For each IQR (6.8 µg/m3) increase in annual PM10, we estimated a 5.9% (95% CIs: 3.3, 8.5%) increase in non-accidental, 6.2% (1.3, 11.4) cardiovascular, and 17.0% (4.1, 31.5%) in respiratory mortality, respectively. As sensitivity approach, we excluded Rome from the analysis and we found percent increases of risk of 4.2% (1.4, 7.1%) for non-accidental, 4.9% (-0.5, 10.5%) for cardiovascular, and 18.1% (3.8, 34.3%) for respiratory mortality. Conclusion Our analysis suggests a causal effect of PM10 on cause-specific mortality in Latium Region, with a strongest effect on mortality for respiratory causes. We can conclude that PM10 represents a strong risk factor for human health not only in urban settings but also in suburban and rural areas.
Background/aim The increasing burden of Lung Cancer (LC) in Crete, Greece has raised concern about potential association of environmental risk factors with LC. Main aim of this study was to assess Outdoor Air Pollution (OAP) and the risk for LC incidence, as well as the association of OAP with LC mortality and survival; for the first time in Crete using LC primary data. Methods 5,000 LC cases (diagnosed from 1992 to 2013) were obtained and followed-up from the population-based Cancer Registry of Crete. The Age-Adjusted Incidence Rates (AAIR) and the Age-Standardised Mortality Rates (ASMR) were calculated. Data on outdoor air concentrations of particulate matter [PM2.5, between 2.5 µm and 10 µm (PM2.5–10) and PM10], PM2.5 absorbance (black carbon measure), nitrogen dioxide (NO2) and nitrogen oxides (NOx) were sampled using Harvard impactors (OAP time series1982–2014). Spatio-temporal statistics were used to explore associations between LC and OAP, and develop a multivariate predictive model of current and future risk. All tests were conducted at a=0.05 in STATA and ArcMap 10.3.1. Results LC in Crete accounts for 40.2 new cases/100,000/year for both genders. Annual median estimates of environmental concentrations were: PM2.5=20.7 (±1.5) µg/m3, PM10=38.9 (±2.5) µg/m3, PM2.5–10=59.6 (±3.7) µg/m3, PM2.5 absorbance=1.2 (±0.3) × 10−5 per m, NO2=15.2 (±3.8) µg/m3 and NOx=20.1 (±4.9) µg/m3. A strong positive association was found between LC and the OAP estimates. The highest risk for LC was observed in the major urban centres, several south-east and north-west rural regions (RR=3.2, 95% CI: 1.638 to 4.765). All associations were significantly increased, while LC hot spots due to OAP were identified, during the financial crisis. Significant increase of the RRs is estimated for the next 10 years, especially in north-west rural regions (RRexpected=3.9, 95% CI: 1.372 to 6.428). Conclusion OAP seems to be an important determinant of LC, especially during the financial crisis. The joint contribution of OAP and other risk factors on LC outcomes has major adverse effects on LC outcomes with significantly diverse geographical patterns. Targeted interventions have to be performed in the current and future risk areas; even among this genetically homogeneous population.
Introduction: Nowadays, air pollution has become one of the problems of human society. In order to control air pollution, it is essential to know the sources of pollutants and rate of pollutants emission. Although various studies have been done to determine the airborne emission in Isfahan metropolitan, no studies have yet been conducted on the emission of volatile organic compounds (VOCs) from gasoline storage tanks in this city. Therefore, the aim of this study was to determine the rate of VOCs emission from gasoline storage tanks in Isfahan metropolitan and to model dispersion of VOCs in the atmosphere of this city. Materials and methods: The TANKS model was used to determine the emission rate of VOCs. Input data for the TANKS model was provided through the Isfahan Oil Refining & Distribution Company. The AERMOD model was also used to model VOCs distribution. The basic information required by the AERMOD model was also collected through relevant organizations such as the Islamic Republic of Iran Meteorological Organization and Iran National Cartographic Center. Results: The research showed that there are 21 large gasoline storage tanks in Isfahan metropolitan. The gasoline storage tanks emit 494839 tons of VOCs into the atmosphere annually. The amount of VOCs emitted from the 21 gasoline storage tanks was estimated as much as 154618081 g / year. The results showed that 99.9 % of VOCs emitted through the pipe connections in the gasoline storage tanks into the atmosphere. Conclusions: The results showed that gasoline storage tanks of Isfahan metropolitan are responsible for about 0.001 % of the VOCs emission in this metropolitan.
One - third of the world's population burn organic material such as wood, dung or charcoal (biomass fuel) for cooking, heating and lighting. This form of energy usage is associated with high levels of Indoor Air Pollution (IAP) and an increase in the incidence of of ARI in children. Acute respiratory infections (ARI) are a leading cause of children illness and death in developing countries. Due to the fact that, most of time training of children in internal environments. There is consistent evidence that indoor air pollution increases the risk of acute respiratory infections in children, and the most important cause of death among children under 5 years of age in developing countries. Exposure to biomass smoke and risk of acute respiratory infections in children has been examined in a lot of studies. Previous reviews were limited in scope, evaluating only outcomes exposure biomass smoke and prevance ARI children. Hence, with important evidence accumulating, there is a need to improve the previous awareness correlated with various interventions to reduce indoor air pollution (IAP) in many countries. This study conducted a systematic review to evaluate the effects of biomass smoke on the incidence of ARI in children and interventions to reduce indoor air pollution with highlight recent years’ studies in developing countries. The results have indicated that exposure to biomass smoke increasing prevalence of ARI in children (rang; 1.00 -3.89 (CI 95% 0.92 – 28.25); median =1.99). Our findings suggest that in addition to promoting increased access to stove improving technologies there are one important organization and micro environment related interventions that dropped IAP exposure. It was expected that this results were useful for the impact on the public argument and policies at the national level in future to improve the quality of indoor air to reduce the burden of disease caused by acute respiratory infections in children.
Introduction: Exposure to road - traffic noise commonly engenders annoyance, the extent of which is determined by factors not fully understood. Our aim was to estimate the prevalence and determinants of road - traffic noise annoyance in taxi drivers in Qazvin. Material and methods: This study was performed on 98 drivers of a selected route in Qazvin (all married). Equivalent noise levels [Leq (dB A)] were measured during day and evening in all streets of the route. According to ISO 9612: 2009, 8 h equivalent noise level [Leq8h (dB A)] were measured. Noise annoyance was estimated using self - reported annoyance scale. Results: Noise annoyance showed strong correlation with noise levels and personal characteristics. The strongest correlation was found between the percentage of highly annoyed drivers and evening noise level (OR = 2.4). Logistic regression model identified increased risk for a high level of noise annoyance with regard to: age (OR = 0.95), smoking habit (OR = 1.9), educational status (OR = 0.026) and driving experience (OR = 2.1). Conclusions: A considerable proportion of taxi drivers are highly annoyed by road - traffic noise, and perceive it to be a significant health risk. Knowledge of health risks of road - traffic noise, are associated with noise annoyance. There is necessity to establish an acceptable level of exposure noise for taxi drivers.
Introduction: The identification of effective factors in air pollution is necessary to plan for decreasing the impacts. Tehran is one of the most polluted cities in Iran and the world, which is constantly affected by air pollution. The traffic zone is attributed to most crowded places in Tehran with some limitations for vehicles. In this study, samples were taken from the limited traffic zone in Tehran. Materials and methods: The sampling was done with high volume sampler for a period of 6 -24 h. Preliminary SEM/EDS measurements were performed on some of the samples to get elemental information on individual aerosol particles. The aerosols were collected by fiberglass filters and using a sampling flow of 1.5 m3 / min. Results: The results show that the largest source of atmospheric particles in Tehran is due to the combustion of fuel released by mobile resources such as transportation and also, stationary resources such as industrial and factories as the second source of atmospheric particles production. Also, mineral particles with irregular shape were observed in coarse particle which may be mainly derived from natural sources such as soil dust, resuspension of dust from road, crust and some other anthropogenic activities such as construction and vehicles. Conclusions: These particles morphology and chemical composition, illustrate an abundance of natural elements within the zone. However, some of the elements presented are directly related to human activities, and are interested by the public health and environmental perspectives.
Introduction: Motor vehicles are the most important sources of gaseous and particulate matter emission in urban areas with the serious health effects which cause the respiratory and cardiovascular diseases and mortality. Motor vehicles emit a broad range of PM from 0.003 to 10 μm. Materials and methods: The exhaust emission of BRT and diesel buses was samples by portable environmental dust monitor, model EDM 107 during summer and winter 2016. ANOVA was applied at a significant level (Pvalue < 0.5) to compare the amount of emitted particles in each season. Results: The lowest concentration of emission was seen in BRT buses and the average number of particles in every liter of exhaust sample was 776330 ± 40428. The amount of emission from BRT buses in winter was 166217 ± 971870. There is a significant difference between total emissions of nanoparticles releasing by diesel and BRT buses in each season, but there isn’t any significant difference between the emissions of nanoparticles releasing by diesel buses in summer and winter. Conclusions: There was the high emission of particles emitted by diesel buses in both seasons. Since the impacts of particulate matters on health should be considered in Tehran, planning the best locations for bus terminals and also monitoring these places continuously are recommended.
Introduction: Drying of parts of Lake Urmia has exposed to salt domes in various areas of the lake. As such, the economic incentive for salt harvesting has been improved due to the easier access. Nonetheless, these operations have the potential of generating particulate air pollutants that can adversely impact immediate and distant agricultural and residential areas. Dispersion modeling is needed to evaluate the effect of various operational parameters on the generation and transport of these particulates. Materials and methods: A mine with the capacity of 1250 tons /day in the area of Qobadlu and two other salt sites around lake Urmia were considered for modeling. Major activities that contribute to pollutant production include transport vehicles and wind erosion from storage salt piles. Wind erosion from the piles was evaluated under different scenarios using CFD approach. Using emission factors for other activities, topographic and climate data, Gaussian dispersion of particles was conducted using ADMS modelling system. Results: The results showed that transportation of particles occurs towards the lake with negligible concentrations for distances within the 150 m radius; observed trend was a reduction from concentrations of around 100 μg / m3 at the site to 5 μg / m3 at the afore - mentioned distance. Layout optimization of storage piles and erection of barriers respectively resulted in up to 17 % and 44 % reduction in particulate generation from pile surfaces. Conclusions: The results of this research have been used in the preparation of the environmental guidelines for salt harvesting in compliance with the lake Urmia restoration directives.
Introduction: UV index is a precaution index that shows level of exposure to sunlight UV. UV index can be calculated by the related formula according to solar spectral irradiance (Eλ). But this formula and others like this are mostly used when sky is clear. The aim of this investigation is determination of effect of PM2.5 and NO2 concentration on UV index. Material and methods: Two points with the same altitude were chosen and the PM2.5 and NO2 concentrations, and UV index were measured 4 h every day from 11am to 3 pm, in these points during one month from 15 October till 15 November 2016. Results: Simple and interaction regression models showed significant reverse relationship between contaminants concentration and UVI (Pvalue ≤ 0.05), although the effect of PM2.5 concentration was more significant than NO2 (Pvalue ≤ 0.001), in both point. Conclusions: There is a strong correlation between PM2.5 concentration and decrease in UV index. Also a significant correlation between NO2 concentration and UV index was found and any significant correlation between UV index and interaction effect of NO2 - PM2.5 was not appeared. Results of this study showed that air pollutants concentration can reduce UV index, thus it can change the risk of skin eczema and skin cancer.
Introduction: One of the important issues faced by most hospitals is an increase in nosocomial infection caused by exposure to airborne bioaerosols such as fungi and bacteria. It may be more dangerous for people who impaired immune systems. The aim of this study was to evaluate fungal contamination of indoor air of different wards of general hospitals of Lorestan, Iran. Materials and methods: In order to assess microbial air sampling ZEFON Pump, equipped with single-stage cascade BioStage impactor was used. The mobile culture medium used for assessing fungal samples was Sabouraud Dextrose Agar (SDA) with chloramphenicol. Samples transferred to the laboratory and analyzed. Temperature and humidity were measured in different sampling areas. Results: The highest level of fungal air contamination in different wards of hospitals No. 1, 2, and 3 were respectively in the surgical ICU (178.53 ± 207/20 CFU/m³), operating room (160.11 ± 99.62 CFU/m3), and CS ICU (162.72 ± 110.58 CFU/m³), and the lowest concentration levels were observed in ICU General (94.84 ± 65.89 CFU/m³), NICU (101.35 ± 112.64 CFU/m³) and operating room (70.67 ± 43.27 CFU/m³). The most common fungal agents detected include Cladosporium, Penicillium, Aspergillus, Chrysosporim, Alternaria, Fusarium, Rhizopus, Trichosporn Asahii, Cryptococcus albidus, Rhodotorula glutenis. Also, Aspergillus fumigatus was identified in most hospital wards. Conclusions: High level of fungal contamination in certain wards of Khorramabad educational hospitals was indicated and an effective control system to reduce the fungi concentration is needed. Moreover, methods such as HEPA filters and UV lamps can use to reduce airborne fungi.
Introduction: Long-term exposure to particulate matter with an aerodynamic diameter less than 2.5 μm is associated with lung cancer incidence. This study aimed to estimate the number of lung cancer deaths attributed to lung-term exposure to PM2.5 among people older than 30 years in 15 cities of Iran during 2015- 2016 using AirQ+ modelling approach. Materials and methods: Validation of monitoring stations was done according to WHO’s criteria for health impact assessment of air pollution. As AirQ+ needs, 24-h concentrations of PM2.5 during a year, total population and at-risk population, baseline incidence of lung cancer, and cut-off value of 10 μg/m3 for PM2.5 concentration were prepared and entered into the model. Results: Annual concentrations of particulate matter in all cities were 1.8 to 6.7 times higher than WHO’s guideline. The most and least cases of lung cancer deaths due to PM2.5 were estimated to be in Karaj and Birjand, respectively. Total mortality of lung cancer attributed to PM2.5 in these 15 cities were 120 cases. Conclusions: Since air pollution’s health impacts impose financial losses to countries, results of this study can be useful for decision-makers to highlight areas requiring urgent action.
Introduction: Tile industry workers are at great risk of multitude chemical agents that can have short-term or long-term adverse effects on the physical and/or mental health. This paper studied Incidence of physical complications in tile industry workers with occupational dust exposure. Materials and methods: Workplace air sampling was done through 0 - 500 method of National Institute for Occupational Safety and Health (NIOSH) in different parts of a tile factory. Physical complications incidence was calculated in two groups (49 people in exposed group and 49 people in non - exposed group) by a researcher-designed questionnaire. Results: The average concentration of dust was 232.8 ± 23.3 mg / m3 in the crusher, 76.4 ± 47.2 mg / m3 in the ball mill spray, 37.5 ± 34.9 mg / m3 in the press, 27.6 ± 7.2 mg / m3 in the glaze, and 7.6 1.2 ± mg/m3 in the administrative sectors. In the exposed group, various physical complications were observed such as coughing up sputum 28.6 %, wheezing 28.6 %, dyspnea 30.6 %, hoarseness 38.8 %, dryness of throat 55.1 %, blurred vision 20.4 %, eye irritation 49 % which were observed statistically significant difference with those of the non - exposed group. Conclusions: Since the dust concentration mean in the exposed group was above the Threshold Limit Value (TLV), the physical complications in these workers can be associated with the high concentration of dust from the raw material in their workplace.
Air pollution is one of the prevalent causes of respiratory disorders. The main air pollutants are NOx, SOx and O3 that affect quality of life and health. Therefore, assessment of air pollutants effects on the pathogenesis of asthma and allergic diseases may lead to reach a better quality and reduce the prevalence of the diseases. The sample size of this study was according to the index articles containing the terms” Air pollution, Asthma and Allergy”. For writing of this review, 55 articles were studied. Air pollutants induced nonspecific immune and allergic inflammation with enhancing the production of IL - 4, IL - 5, and IL - 13 by Th2 lymphocytes. Our present research demonstrates that, there is significant relationship between air pollution and asthma and allergic diseases. Therefore, air pollution plays role in the pathogenesis and exacerbation of the allergic diseases.
Introduction: Indoor air pollution plays important role on human health. People spend 90 % of their time in closed spaces, which cause the interest of study about indoor air quality. The main objective of the present study was to design a hydroponic system for indoor air remediation by bacteria and mondo grass (Ophiopogon japonicus). Materials and methods: Soil surrounding mondo grass roots was sampled and enriched in a mineral salt medium, and at the end enriched consortium was used for bioreactor inoculation. The following is a brief overview of the biofiltration system: Indoor air, sucked by an air compressor, was injected to the bioreactors and circulated to the pots. In order to study the efficiency of biofiltration system, phenol was added to the nutrient solution on a daily basis. After determining the optimum temperature, the system’s ability to degrade various concentrations of phenol was measured. Results: Results showed that enriched consortium had high degradation ability. Among the isolated strains, Staphylococcus epidermis and Pseudomonas sp. were found to be more efficient. Biodegradation rate was higher in 35°C and in all selected phenol concentrations (500 to 1500 mg/L) biofiltration system was able to degrade phenol but in high concentrations, system performance was somewhat reduced. Conclusions: In a nutshell, the results revealed significant ability of hydroponic system for remediation of air by bacteria and plant. Obviously, the system may be seen as an important tool in air bioremediation.
Introduction: The main objective of this study was to determine total carbon monoxide, sulfur oxides, nitrogen oxides, volatile organic compounds (VOCs), PM10 and PM2.5 emitted to air by burning gasoline and diesel fuel in the city of Isfahan. Materials and methods: In this study it is assumed that all distributed fuel in Isfahan (including gasoline and diesel fuel) is consumed by diesel and gasoline engines and other their usages are negligible. Then, with the help of emission factors provided by the relevant international organizations such as European Environmental Agency, the total amounts of pollutants were calculated. Results: The results of this study showed that from 20 March 2016 to 20 March 2017 about 987 million liters of diesel fuel and 1052 million liters of gasoline were distributed in the city of Isfahan by the Oil Refining & Distribution Company of Isfahan, which produced 433115537 and 497070000 million BTU of energy from these fuels, respectively. The results of this study are not limited to fuels that used in vehicle engines in the city of Isfahan and also covers other fuel uses. Also, the results show that nitrogen oxides and carbon monoxide released by diesel engines were 865248 and 186391 tons, respectively. Also, nitrogen oxides and carbon monoxide released by gasoline engines, were as much as 367032 and 222921 tons, respectively. Conclusions: Nearly 87 and 54 % of VOCs and carbon monoxide in Isfahan are emitted by gasoline engines, respectively. The share of diesel fuel engines in emission of nitrogen oxides, sulfur oxides and PM are estimated equal of 73, 76 and 73%, respectively.
Introduction: Ozone (O3) is one of the seven criteria pollutants. These pollutants can be a serious threat for human health and welfare. Materials and methods: In the present study air quality analyses for ozone (O3) were conducted in Isfahan, Iran. The measurements were taken in three different locations to prepare average data in the city. The average concentrations were calculated for every 24 h, monthly and every season. Relations between the air pollutant and some meteorological parameters were calculated statistically using the daily average data. The wind data (velocity, direction), temperature, evaporation and rainfall are considered as independent variables. Results: Results showed that the highest concentration of ozone occurs generally in afternoon while the least concentration was found in the morning and midnight. Monthly concentrations of ozone showed the highest and least value in March and October, respectively. The seasonal concentrations showed the least amounts in autumn while the highest amounts in winter. The relationships between concentration of pollutant and meteorological parameters are expressed by multiple linear regression equations for both annual and seasonal conditions showing significant relationship. RMSE test showed that among different prediction models, stepwise model is the best option. Conclusions: In the current research, air quality analyses for Isfahan, were conducted for ozone (O3). Among different prediction models using some meteorological parameters, stepwise model was the best option. Also, different variations in concentration during day, months, and seasons were observed.
