Reza Peykanpour Fard; Parvaneh Paykanpour Fard; Hadi Hadian Ghahdarijani
Abstract
Background and Purpose: One of the fundamental problems of air pollution is that it often affects large areas of various land uses, such as cities and agricultural products hundreds of kilometers away from the source of pollutants, or results in cumulative effects with other industries. This research ...
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Background and Purpose: One of the fundamental problems of air pollution is that it often affects large areas of various land uses, such as cities and agricultural products hundreds of kilometers away from the source of pollutants, or results in cumulative effects with other industries. This research aims to quantify the concentration of pollutants in residential areas around industrial areas.Materials and Methods: In this study, the AERMOD software was used for modeling air pollutants. This software uses meteorological data, digital elevation models, and information about pollutant sources. It assesses and quantifies air pollution levels related to PM10, SOX, NOx, and CO pollutants in a specific location.Results: The results of this study indicate that in these 28 population points surrounding the targeted industrial land use, pollutant concentrations in both scenarios with and without background concentrations did not exceed the standard limits for any pollutant. The most significant pollutant in this research was NOx, which showed the slightest difference from the permissible pollution limit. Furthermore, due to the closer proximity of pollutants to environmental standards in this region, increased loading of industrial land uses can lead to various health, economic, and social problems.Conclusion: The findings of this research demonstrate that to assess and quantify pollutant concentrations in the areas surrounding industrial pollutant points, it is advisable to consider background pollution in addition to modeling point sources for greater accuracy in the direction of sustainable development in such areas.
Alireza Mirzahosseini; Fatemeh Ebrahimi; Nabiollah Mansouri
Abstract
Background and purpose: Industrial development, on one hand, creates harmful chemical products and industrial waste, including heavy metals. On the other hand, it increases energy consumption and leads to the release of atmospheric pollutants, causing environmental pollution. Bandar Abbas, compared to ...
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Background and purpose: Industrial development, on one hand, creates harmful chemical products and industrial waste, including heavy metals. On the other hand, it increases energy consumption and leads to the release of atmospheric pollutants, causing environmental pollution. Bandar Abbas, compared to other areas of Hormozgan province, has a high concentration of industries. Therefore, it is necessary to study the pollution caused by these industries in the region's environment. The general purpose of this study is to investigate the amount of heavy metals associated with industrial activity.Materials and Methods: Ambient air sampling was conducted at seven locations in the region during winter and spring (2020). The sampling and preparation methods were based on EPA and NIOSH Standards. Sampling was performed using a High-Volume pump with a flow rate of 1.7 cubic meters per minute for a duration of 24 hours. The sampling device was installed at a height of 3 meters above the ground. The heavy metals in the collected samples were measured using the Varian Z220 atomic absorption spectrometer with the furnace technique. Circular fiberglass filters with a diameter of 47 mm were used for environmental sampling.Results: Based on the analysis of air particles, the concentration of heavy metals showed a decreasing trend as follows: V < Cd < Fe < Pb. The average concentrations of these elements were 0.0006, 0.0060, 0.0061, and 0.339 micrograms per cubic meter, respectively. With the exception of lead, the average concentration of these metals exceeded the limit value.Conclusion: The amount of suspended particles at all sampling locations exceeded the environmental standards. Additionally, except for vanadium, the average concentration of metals in the samples from residential areas was below the limit value.
Akram Ghorbani; Marjan Ziaee; Shabnam Hoshdar Tehrani; Mitra Mohammadi
Abstract
Background and Purpose: 80% of air pollution in urban areas comes fromheavy vehicles. The purpose of this study is to investigate the amount of CO2,CO, HC, NOX pollutants, types of diesel cars and their relationship with the lifeof the car.Materials and Methods: In this study, out of all diesel cars ...
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Background and Purpose: 80% of air pollution in urban areas comes fromheavy vehicles. The purpose of this study is to investigate the amount of CO2,CO, HC, NOX pollutants, types of diesel cars and their relationship with the lifeof the car.Materials and Methods: In this study, out of all diesel cars in Mashhad, whichis 5861 cars, 425 cars were randomly selected and after recording the year ofcar production, using OPTIMA7 NDIR five-gas pollutant device in bright enginemode (Engine operation). Sampling was performed continuously (except forthe first to the fourth of April) in the period of December 6, 2017 to May 9,2017 at nine to twelve and fifteen to twenty o’clock and Then, using SPSSsoftware and statistical tests. The relationship between these pollutants andvehicle life was investigated.Results: According to the amount of sig (p=0/531>0/05) between the life of thecar and carbon monoxide, the amount of sig (p=0/571>0/05) between the lifeof the car and the amount of hydrocarbon, the amount of sig (p=0/153>0/05)between the life of the car and carbon dioxide output and the amount ofp=0/290>0/05 (sig) there is no significant relationship between car life andnitrogen oxides.There is an inverse correlation between the car’s year of manufacture andCO2 and NOX pollutants, So that the higher the car’s year of manufacture,the lower the amount of carbon dioxide and nitrogen oxides. And there is apositive correlation between HC and CO pollutants.Conclusion: The significant level value (sig) between car life and all pollutantsis greater than 0.05, so there is no statistically significant relationship betweencar life and all exhaust gas pollution. Therefore, the amount of air pollution bydiesel cars should be reduced by taking correct management methods.
Peyman Ghalamkari; Mozhgan Ahmadi Nadoushan
Abstract
Background and purpose: Regarding the status of air pollution in Isfahan, this study aims to evaluate the air quality of Isfahan due to Particulate Matter and find the relationship between landscape patterns and suspended particles. Materials and methods: to measure the concentration of the suspended ...
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Background and purpose: Regarding the status of air pollution in Isfahan, this study aims to evaluate the air quality of Isfahan due to Particulate Matter and find the relationship between landscape patterns and suspended particles. Materials and methods: to measure the concentration of the suspended particles using a Met One dust meter in 52 points, the city was randomly sampled. The land use map of Isfahan city was prepared after downloading satellite images from the site of the United States Geological Survey. The land use map was generated in six classes with the maximum likelihood classification method in Terrset software. To create the distribution map of suspended particles, the information of 52 stations and inverse distance weighting method in ArcGIS 10.5 was used. Landscape metrics (Normalized Entropy, Edge Density, Patch Area, Relative Richness, and Patch Compactness) were used to quantify the pattern of landscape. The landscape metrics were quantified using FRAGSTATS software.Results: The results showed that vegetation has a reducing effect on air pollution. A positive and significant correlation was observed between the amount of suspended particles and relative richness. Moreover, a significant negative correlation was observed between PM2.5 and (NDVI), which means that the amount of suspended particles decreased with increasing vegetation density. Conclusion: In general, by calculating the concentration of suspended particles in Isfahan, it was found that the southwest, south, and southeast are exposed to more suspended particles. The high density of green space landscaping leads to a reduction of particulate matter pollution. From the analysis of changes in suspended particles in the region, it was inferred that the more we move to areas with weaker vegetation, the higher the concentration of suspended particles.
Mahdi Ale Ahmad; Abdolreza Karbasi; Amir Hossein Davami; Reza Jalilzadeh Yengejeh
Abstract
Background and purpose: An accurate estimation of air quality and meteorological conditions is required to make the sound air pollution management decisions. Thus, the data analysis from monitoring stations is unavoidable in air pollution research. The present study uses the statistical tests to ...
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Background and purpose: An accurate estimation of air quality and meteorological conditions is required to make the sound air pollution management decisions. Thus, the data analysis from monitoring stations is unavoidable in air pollution research. The present study uses the statistical tests to survey the homogeneity of meteorological factors and air quality station data in Mahshahr.Materials and methods: At first, a decade's worth of meteorological station data and the data from air quality stations in Mahshahr were collected over 2016-2019. The minimum and maximum values, standard deviation, variance, skewness, and kurtosis of parameters were then calculated, and heterogeneities and improbable fluctuations in the data were examined.Results: The results indicated that an average of 12% of data from the meteorological station in the special region were invalid, and that the data from this station had a non-normal distribution. Moreover, 98% of meteorological data collected at Mahshahr airport were valid which had a normal distribution. Statistical analysis of pollutant concentration data from air quality stations revealed that among 21 pollutants monitored across four air quality stations in the study region, only PM2.5 in Mahshahr station, NO2 in the mobile station, and CO, O3 in the special region fix station yielded normal distributed data.Conclusion: Consequently, when compared to other regional stations, the data from special zone's fixed air quality station, and Mahshahr meteorological station were the most reliable, with an average invalid data percentage of 16.4 and 0.48, respectively. Finally, it is recommended that the data should be adjusted to a more normal distribution over the desired period before using the data from other stations.
Maryam Sarkhosh; Mostafa Hadei; Sima Nourbakhsh; Hossein Alidadi; Mohammad Pazira; Gholam Reza Farahzad
Abstract
Background and Purpose:Assessing the health effects of air pollution can provide useful information for health policy . AirQ + software is a tool for determining and modeling the health effects attributed to air pollutants such as O3, NO2, PM10 and PM2.5. The aim of this study was to quantify the health ...
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Background and Purpose:Assessing the health effects of air pollution can provide useful information for health policy . AirQ + software is a tool for determining and modeling the health effects attributed to air pollutants such as O3, NO2, PM10 and PM2.5. The aim of this study was to quantify the health effects of PM2.5 pollutants in the air of Mashhad.materials and methods:In order to present this analytical study, air quality data were obtained in 2019 from the General Department of Environment of the province and the Environmental Pollutants Monitoring Center of Mashhad Municipality. Hourly data of each validated station and stations that less than 75% of the data were not registered or were not valid were eliminate. Demographic and meteorological information were also obtained from relevant organizations. AirQ + software was used to quantify the health effects of suspended particles. The desired cut-off concentration was 10 μg / m3 according to WHO guidelines.result:The results show that the total death rate attributed to PM2.5 in 2019 was about 1069 cases, which is about 9.5% of the total deaths in Mashhad. In the long term exposure, the rate of premature death attributed to PM2.5 due to COPD in that year was about 14%, due to cancer about 12%, due to IHD about 6% and due to stroke about 8% of the total deaths in Mashhad in the upper25 years old population. Conclusion:Among air pollutants, PM2.5 due to its special structure composition can be one of the risk factors for public health. This study does not consider the synergistic effects of air pollutants, which is due to the lack of studies worldwide. If the synergistic effects of pollutants are taken into account, the rate of deaths attributed to air pollution could be much higher than currently estimated.
Mitra Mohammadi; Sepideh Ansari; Zeinab Asghari; Samaneh Najafi; Zohreh Mirzaei Niko; Elahe Khayyami
Abstract
Background and purpose: Vegetables are among the valuable foods. However, in addition to essential elements, they may contain toxins in excess of permissible concentrations, which has raised many concerns about the quality and safety of these products and human health. Therefore, the present study was ...
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Background and purpose: Vegetables are among the valuable foods. However, in addition to essential elements, they may contain toxins in excess of permissible concentrations, which has raised many concerns about the quality and safety of these products and human health. Therefore, the present study was conducted to investigate the effect of atmospheric pollutants of carbon dioxide, gasoline and acid rain on the resistance of basil and parsley.Materials and Methods: This factorial study was performed based on a completely randomized design with 3 replications and 54 treatments . In this study, CO2 with three concentrations of 0, 1000 and, 1800 ppm, gasoline with three conditions without adding gasoline, with ordinary gasoline and with the addition of super gasoline, and acidic solution at two levels of pH 4 and 6 were studied. It should be noted that distilled water with pH = 7 was selected as a control treatment.Results: The results showed that the concentration of 1000 ppm carbon dioxide increased plant yield by 178.63%, while its concentration up to 1800 ppm, led to the destruction of the plant in two days. It was also found that super gasoline due to the high-octane number and supplements in it has a less polluting effect (5.7%) on the plant than regular gasoline. In addition, no significant difference was observed between different concentrations of acidic solution on plant resistance. In this experiment, parsley showed more resistance to contaminants than basil.Conclusion: carbon dioxide than other pollutants and also its key role in global warming, we need effective management to promote public health and control the production sources of this gas in the atmosphere.
Mersedeh Sadat Hozhabralsadat; Ava Heidari; Zahra Karimian; Mohammad Farzam
Abstract
Abstract Background and Aim: Today, air pollution, with an impact on a global scale, is an important concern of the modern world. It has many adverse effects on human health and the environment. Therefore, it is necessary to find sustainable and environment-friendly solutions that prevent the increase ...
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Abstract Background and Aim: Today, air pollution, with an impact on a global scale, is an important concern of the modern world. It has many adverse effects on human health and the environment. Therefore, it is necessary to find sustainable and environment-friendly solutions that prevent the increase of pollution levels and help eliminate them. One of the newest ways to reduce air pollution and absorb particulate matter, as well as improve air quality, is to use green walls in urban spaces. The present study investigated the potential of green walls in reducing air pollutants. Materials and methodology: In this research, two green walls were installed at the Khayyam intersection in Mashhad for three months. Finally, the Air Pollution Tolerance Index was determined for all the plants by measuring chlorophyll, ascorbic acid, leaf-related water content, and pH. Results All of the plant species planted on the walls were classified as intermediate in the tolerance. Among all the plants, Carpobrotus edulis and Rosmarinus officinalis had higher APTI, which makes them more resistant and suitable for planting in polluted areas. Considering the statistical analysis, the APTI of the plants was correlated with ascorbic acid and leaf-related water content. Conclusion: Our findings suggest the suitability of the above-mentioned plants for plantation in areas with high levels of pollutants.
Seyed Reza Mousavian; Aliakbar Haghdoost; Razieh Tavakoli
Abstract
Abstract
Background and Aim: Air pollution is one of the most significant environmental problems that has a remarkable impact on the incidence of cardiovascular disease and associated mortality. It is essential to comprehend air pollution effects and the ways of emission and predict the number of patients ...
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Abstract
Background and Aim: Air pollution is one of the most significant environmental problems that has a remarkable impact on the incidence of cardiovascular disease and associated mortality. It is essential to comprehend air pollution effects and the ways of emission and predict the number of patients with acute respiratory problems to eliminate and reduce air pollutants and associated mortality. This study aimed to investigate the relationship between different air pollutants and the number of cardiovascular disease patients in Mashhad.
Materials and Methods: This study applied a neural network to model and analyze the relationship between CO, NO2, SO2, PM2.5, and PM10 and the number of patients with acute respiratory problems. The inputs were average temperature, humidity, wind direction, and wind speed and the output was the number of people referred per day by gender and age. The data set used included meteorological data from the Iran Meteorological Organization, air pollution data from the Mashhad Meteorological Organization, and the number of daily referrals of heart disease patients to the emergency department of Mashhad.
Results: According to this study, the most effective air pollutants in Mashhad were PM2.5 and PM10, followed by NO2, CO, and SO2, respectively.
Conclusion: Neural networks can be applied in the modeling of the relationship between environmental parameters and cardiovascular disease patients because they have a high ability to model nonlinear phenomena. These models show that the more airborne particles, the more rate of cardiovascular diseases in Mashhad
Arezoo Tavakoli
Abstract
Background and Aim: Air quality in indoor environments such as shopping places is affected by vehicles, in consequence of vicinity with streets and overcrowding. Despite the effect of air pollutants on community health, less attention has been paid to air pollution in traditional bazaars with natural ...
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Background and Aim: Air quality in indoor environments such as shopping places is affected by vehicles, in consequence of vicinity with streets and overcrowding. Despite the effect of air pollutants on community health, less attention has been paid to air pollution in traditional bazaars with natural ventilation. The aim of this study is to evaluate concentration of some air pollutants in three traditional bazaars (Sarai-e-Mokhles, Ghanadiha and Ghahvehkashiha) in Isfahan, placed at the Naqsh-e-Jahan Square. Materials and methods: The concentration of SO2, NO2, O3, Particulate Matters (PM2.5 & PM10) were determined by Aeroqual S500 using a direct assay method. The population of fungi and bacterial were determined by Flite 3 sampling pump (SKC) during a nine-month period from autumn 2018 to spring 2019. Results: Based on results, the pollutant concentrations were much higher at the end of the weeks. In all stations, O3 concentration was close to zero but the concentrations of SO2, NO2, PM2.5 and PM10 demonstrated higher concentrations than that of the standards. The air quality in Sarai-e-Mokhles and Ghanadiha are more critical than Ghahvehkashiha. The gram-positive Bacillus and Penicillium sp were the most population of bacteria and fungi, respectively. Conclusion: The lack of a ventilation system, various occupational activities, as well as the traffic of motorcycles increased the concentration of pollutants in the bazaars. Based on the long-term presence of market shopkeepers and high people density, it is necessary to pay more attention to air quality and to provide solutions to reduce air pollutant concentrations.
Seyed Saeed Keykhosravi; Farhad Nejadkoorki; Mahmood Amintoosi
Abstract
Background and Objective: Dust modeling can be considered as an appropriate tool for predicting future industrial dust and identifying pollutant emission control strategies. Perceptron (MLP) and radial base (RBF) neural networks were used as a means for predicting the outflow dust from the main cogeneration ...
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Background and Objective: Dust modeling can be considered as an appropriate tool for predicting future industrial dust and identifying pollutant emission control strategies. Perceptron (MLP) and radial base (RBF) neural networks were used as a means for predicting the outflow dust from the main cogeneration of Sabzevar cement factory located in Khorasan Razavi Province. Method: the concentration of dust from the main cement chimney in the study area was measured through field measurements. Then, the parameters of the production line (temperature, speed of gas output, voltage, fuel, raw materials, and time of sampling) were used as input data to the nerve networks to predict the concentration of dust. The values obtained from the implementation of the models were compared with the results of field measurements as a superior model selection. Results: The analysis of figures and statistical parameters showed that the mean squared errors for the two MLP and RBF models were as much as 1.787 and 21.263, respectively, and the correlation coefficients were as much as 0.99693 and 0.95811, respectively, which indicates a lower error and greater correlation between the MLP and RBF model in predicting the concentration of dust. Conclusion: Because of the high ability of perceptron nervous networks to predict dust concentration, this model can be a convenient and fast solution to predict the amount of dust in the industry.
Sara GHolamhosein Ghoochani; Shabnam Hoshdar Tehrani; Reza Esmaili
Abstract
Background & objeftive: Carbon monoxide is a toxic gas and since it is colorless, odorless and tasteless, it often has no warning signs for people who are at risk of this pollutant. This study focused on the spatial distribution of carbon monoxide on a monthly basis with the interpolation method ...
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Background & objeftive: Carbon monoxide is a toxic gas and since it is colorless, odorless and tasteless, it often has no warning signs for people who are at risk of this pollutant. This study focused on the spatial distribution of carbon monoxide on a monthly basis with the interpolation method in Mashhad city. Materials & Methods: In this study, data were collected from 19 metropolitan stations in the city. Then the inverse weighing intervals, ordinary kriging, and universal kriging methods were used. To determine the best spetial distribution, the root mean square error were applied .finally, the best interpolation methods was selected.with the help of geostatistical map in Arc GIS, monthly zoning map have prepared during 2017-2018. Results: The results showed that ordinary kriging is a best method rather than universal kriging and inverse weighteing due to the lees error. By providing monthly zoning map in 2017-2018, it was cleared that in the months of April, May and June, the middle belt of the city was more polluted from northwest to southeast. The estern part of city in July, August and September have been more contaminated rather than other area. The months of October, November and December wre more polluted in central part of the urban area and from the western to southwestern of the city, in December, February and March, were indicated more pollution. Conclusion: A mong the metropolitan stations for measuring air pollution, southern part of Khayam and sadaf had a highest levels of carbon monoxide and Khaghani and Elahie were lowest rate. Also, monthly zoning maps indicated that the highest pollution rate in hot season was in the eastern and in cold season was in the western part of the city. However, the amount of carbon monoxide was less than standard level during 2017-2018.
Vafa Hamid; Gholamreza Goudarzi; Abdolkazem Neisi; Maryam Dastoorpoor
Abstract
Background: Perfectly clean air cannot be found in nature. It contains a certain abundance of particles, including dust, dirt, soot, smoke, and liquid droplets. Mounting evidence indicates increase in particle concentrations and health effects attributed to them in developing countries. In this work, ...
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Background: Perfectly clean air cannot be found in nature. It contains a certain abundance of particles, including dust, dirt, soot, smoke, and liquid droplets. Mounting evidence indicates increase in particle concentrations and health effects attributed to them in developing countries. In this work, we focused on the determination of number of cardiovascular, respiratory diseases and total death associated with PM2.5 in Karaj city during 2012 to 2015. Material and Methods: The health effects of PM2.5 concentrations in ambient air of Karaj was determined using AirQ+ software. Air pollution data was obtained from the Department of Environmental Protection of this city. To validate the data, WHO criterion was performed. After all, data processed by Excel was given to the model. Results: The annual average PM2.5 concentrations in ambient air of this city during the study was higher than WHO health protective guideline (10 µg m–3). The concentration of pollutant has been reduced during the study period but there is a sudden increase in 2015. In addition, the most attributable proportion was estimated in Karaj in 2012 (59.04% for long-term and 5.86 for short-term effects). PM2.5 exposure has caused 275 and 60 natural deaths due to long-term and short-term exposure in 2012 which is unexpected. Conclusion: Regarding the health effects of PM2.5 in ambient air of Karaj city, the importance of controlling air pollution in this metropolis is becoming increasingly evident.
Elham Asrari; Maryam Paydar
Abstract
Abstract
Background and Purpose: Air pollution problem in metropolitan’s city is made by different sources of pollutants. The proportion of air pollutants’ emissions have been increased in many cities of Iran such as Mashhad. This study aimed to investigate the relationships ...
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Abstract
Background and Purpose: Air pollution problem in metropolitan’s city is made by different sources of pollutants. The proportion of air pollutants’ emissions have been increased in many cities of Iran such as Mashhad. This study aimed to investigate the relationships between the trend of particular matter concentration changes and metrological parameters in the atmosphere of Mashhad.
Materials and Methods: In this descriptive cross - sectional study, data including temperature, sunny hours, precipitation, evaporation, moisture, speed and direction of wind were collected from 11 monitoring stations of air pollutants and Metrologic synoptic stations in Mashhad during 2010-2016. Daily average concentrations of PM10 of PM2.5) were calculated, and then relationships between pollutants and metrological data analyzed by Spss18 software.
Findings: The results showed that the maximum concentrations of particle matter occurred in October and autumn season. Numbers of unhealthy days were increased during the years of 2011-2013, decreased in 2014 - 2015 and increased again in 2016. The variations of PM10 and PM2.5 are significant with season, month and year (P <0.001). PM10 was directly related to temperature and evaporation (r=0.095). Also, there was a reverse relation among humidity and rainfall. A reverse relationship was observed between PM2.5 concentration and minimum temperature, sunny days, rainfall and wind speed; however, it was directly related to wind direction.
Conclusion: According to the obtained results in the autumn and October, the highest concentration of particulate matter was observed. Also, GIS maps showed that eastern and relatively center of Mashhad is more polluted than other areas.
Keywords: Air pollution, Mashhad, PM2.5, PM10, Meteorology data
Mohammad velayatzadeh; Sina Davazdah Emami; Zahra Naserzadeh
Abstract
Background & Objective:Emission of Carbon dioxide in the atmosphere has an important role in increasing temperatures and, its higher concentration can effect on human health. Due to this issue, this study is aimed to measure the amount of the released carbon dioxide into the atmosphere in different ...
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Background & Objective:Emission of Carbon dioxide in the atmosphere has an important role in increasing temperatures and, its higher concentration can effect on human health. Due to this issue, this study is aimed to measure the amount of the released carbon dioxide into the atmosphere in different part of Yadavaran Oil field and compare with international standards in 2017. Material & Methods:The present investigation was accomplished in Yadavaran oil field of Khuzestan province of Iran in 2017. In this study measurement of parameters including carbon dioxide, carbon monoxide, oxygen, relative humidity and temperature was done in 64 stations with 3 replications using ALTAIR 4X and Trotec BZ30. Data was analyzed by one-way ANOVA and Kolmogorov–Smirnov tests. Moreover, Correlation analysis was performed using Pearson and Spearman coefficients. Results:The results showed that concentration range of carbon dioxide and oxygen was 490-590 and 19-208ppm respectively. Also, the highest and lowest levels of carbon dioxide were 584.56±6.36 and 453.94±77.7 ppm in wet water camp and S10 wells (P <0.05) correspndingly. The highest oxygen content was 20.92±0.041 ppm in S7 and F12 wells, but the lowest oxygen content was 19±0.059 and 19±0.042 in S10 and F17 wells (P> 0.05) in the same order. Conclusion:Pearson and Spearman coefficient analysis showed no significant correlation between temperature, humidity, oxygen and carbon dioxide. According to the results, the concentration of carbon dioxide in different areas of the oil field of Yadavaran was acceptable.
Mohsen heidari; zoha heidarinejad; Vali Alipour; kavoos dindarloo; Omid Rahmanian; Babak Goodarzi; hasan Mousapour
Abstract
Background: Air pollution and its health effects is a principal challenge in Iran. One of the effective measures to control air quality is to determine the actual amount of pollutants and describe the air quality in comparison with standard conditions. The main objective of this study was to evaluate ...
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Background: Air pollution and its health effects is a principal challenge in Iran. One of the effective measures to control air quality is to determine the actual amount of pollutants and describe the air quality in comparison with standard conditions. The main objective of this study was to evaluate the air quality in Kerman based on Air Quality Index (AQI) and to determine the responsible pollutant in polluted days during April 2015 to March 2016. Materials and Methods: In this cross-sectional study, the air pollutants concentration data were obtained from Kerman environmental protection agency. Then, the AQI values were calculated based on the levels of the criteria pollutants, i.e., CO, NO2, SO2, PM10, PM2.5 and O3. Based on AQI levels, the air quality was classified into six groups including good, moderate, unhealthy for the sensitive people, unhealthy, very unhealthy and dangerous. Results: During the studied year, the air quality in 7%, 60%, 29% and 4% of the days, in which the pollutants concentrations were measured, was in clean condition, healthy conditions, unhealthy conditions for sensitive groups and unhealthy condition, respectively. The best and worst air quality conditions were observed in January (in cold season) and April (in warm season), respectively. PM2.5 was the responsible pollutant for air pollution in Kerman. Conclusion: The results showed that the main responsible pollutant which causes air pollution in Kerman was particulate matter. This situation may be originated from the local and regional dust storms, especially from south-west and Sistan regions. Therefore, the essential actions must be taken to control such pollution and to minimize the community exposure to this pollutant.
Damon Ketabi; Reza Esmaili; Hosein Alidadi; Roya Peirovi; Fatemeh Joulaei
Abstract
Background and Objective: Air pollution is one of the current concerns. Human health has been faced with serious risks due to air pollution as a consequence of urbanization. Continuous monitoring of air quality to determine pollutants and identify their emissions sources are considered as the key strategies ...
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Background and Objective: Air pollution is one of the current concerns. Human health has been faced with serious risks due to air pollution as a consequence of urbanization. Continuous monitoring of air quality to determine pollutants and identify their emissions sources are considered as the key strategies for air pollution control. The main objective of this study was evaluation of Mashhad air quality and determination of responsible pollutants in 2015. Materials and Methods: In this cross-sectional study, the instantaneous concentrations of air pollutants including O3, CO, SO2, NO2, PM2.5 and PM10 were measured at the three stations of Mashhad during 2015-2016. Based on Air Quality Index (AQI), Mashhad air quality was classified in groups of good, moderate, unhealthy for the sensitive people, unhealthy, very unhealthy and dangerous. Results: The results of the air quality index indicated that the air quality in 46 days was exceeded the standard limit in Mashhad in 2015-2016. The air quality category included 12.5% days unhealthy for sensitive groups, 74.5% days health. Conclusion: In this study, PM2.5 was determined as the main responsible pollutant in non-standard conditions of Mashhad air. Optimizing public transportation, considering environmental standards at the urban transportation management and Launch intelligent traffic control are the most appropriate strategies proposed to control Mashhad air pollution.
Majid Kermani; sevda fallah jokandan; Mina Aghaei; Mohsen dowlati
Abstract
Background & Objective : Air pollution is considered as one of the the most important risks of uncontrolled growth of cities, economic development and energy consumption in the last century. In large cities, such an increasing trend seriously threatens the health of residents. This study aims to ...
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Background & Objective : Air pollution is considered as one of the the most important risks of uncontrolled growth of cities, economic development and energy consumption in the last century. In large cities, such an increasing trend seriously threatens the health of residents. This study aims to evaluate the health effects of PM10, PM2.5 and SO2, and estimate the mortality and morbidity rate of cardiovascular, respiratory and Chronic obstructive pulmonary, attributed to the aforementioned pollutants, using AirQ model in metropolis of Tehran in 1392. Materials & Methods: In this cross-sectional study, Data required were collected from environmental protection organization and air quality control center of Tehran. These data were analyzed by Excel, and the processed data entered AirQ model. Then relative risk, basis risk and attributable fraction were estimated. Finally, the gained results, being mortality and morbidity rate, were presented in tables and graphs. Results: The results showed that the average annual concentration of PM10, PM2.5 and SO2, were 73, 43 and 41 μg/m3, respectively, being 3.65, 4.3 and 2.05 times higher than the national standard of Iran and WHO guidelines, correspondingly. Total number of mortalities attributed to the PM10, PM2.5 and SO2, were about 2187, 2842 and 721, respectively, being 3.65%, 4.75% and 1.20% of total deaths of Tehran city (except accidents), correspondingly. Conclusion: The results showed the health effects of particulate matter and sulfur dioxide pollutants, including total mortality, cardiovascular mortality, respiratory, hospitalizations due to chronic obstructive pulmonary disease and myocardial infarction in Tehran. So, it’s obviously clear that the proportion of mentioned pollutants are being increased in Tehran’s atmosphere that requires more attention of officials and experts to control air pollution.
Alireza Ehsanzadeh; Farhad Nejadkoorki; Sattar Khodadoostan
Abstract
Background & objectives: Air particulate matters which have natural and human made origins have significant effects on the climate, the environment and human health. Several epidemiological studies have shown a direct relationship among the concentrations of suspended particles with different ...
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Background & objectives: Air particulate matters which have natural and human made origins have significant effects on the climate, the environment and human health. Several epidemiological studies have shown a direct relationship among the concentrations of suspended particles with different adverse health effects. The general purpose of this research was to determine the most important parameters affecting on the concentration of PM10 in Tajrish station (Tehran) and develop an estimator model for PM10. Materials & methods: In this study, a model is constructed using principal component regression (PCR) for the relationship between the hourly concentration of particulate matter smaller than 10 microns with meteorological parameters (WD, WS, T, P, H) and air pollution parameters (CO, NO2, SO2, NOx, NMHC, THC) in Tajrish station (Tehran). The results of the performance evaluation of PCR model were measured in training and testing stages using RMSE, MAE, R and IA as statistical indicators. Results: The results of principal components import into multiple regression model showed that the most important variable affecting on the concentrations of PM10, are air temperature and the wind speed. Also, CO and SO2 emissions were known as synergic factors for PM10 concentration. The results showed that PCR model is able to estimate 41% of PM10 concentrations in the testing. Conclusion: The principal components regression analysis showed that meteorological parameters are one of most important factors affecting on the reduction of PM10 concentration in Tajrish station (Tehran).
Majid Kermani; Mohsen Dowlati; Ahmad jonidi jaffari; Roshanak Rezaei kalantari
Abstract
Background and objective: Air pollution is one of the major factors threatening human health and our environment. This study aimed at the comparative investigation of Air Quality Health Index (AQHI) and its application in the city of Tehran since 2007 to 2014. Materials & Methods: This Study ...
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Background and objective: Air pollution is one of the major factors threatening human health and our environment. This study aimed at the comparative investigation of Air Quality Health Index (AQHI) and its application in the city of Tehran since 2007 to 2014. Materials & Methods: This Study was a descriptive–analytic one. First, the required data were taken from Department of Environment and the Air Quality Control Company. The data were validated by the World Health Organization criteria .The air quality health index was measured based on the air quality standard tables and classified into low, medium, high and very high degrees. Results: The results show that according to air quality health index, the level of air pollution in Tehran has been undesirable since 2007 to 2014 and in 95%,92%,73%,65%,57%,65%,52%,46% of days Air quality has exceeded the standard level respectively .So, the level of risk has been high and sometimes very high. Conclusion:As a result, due to high level of air pollution and its dangerous effects, proper planning and management should be considered in environmental health sectors to control and reduce air pollution.
Alireza Ehsanzadeh; Farhad Nejadkoorki; Ali Taleb
Abstract
Background and objective: Air pollution in Tehran, because of high concentration of pollutants, has caused various diseases and many problems concerning the public health and welfare of citizens and also damages to the environment and living organisms. Materials & Methods: Air Quality Index ...
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Background and objective: Air pollution in Tehran, because of high concentration of pollutants, has caused various diseases and many problems concerning the public health and welfare of citizens and also damages to the environment and living organisms. Materials & Methods: Air Quality Index (AQI) is a key tool to monitor the air quality, to realize the effects of air pollution on health and to choose methods against air pollution. This study aimed at modeling and estimation AQI by CART algorithm and adaptive boosting algorithm (AdaBoost). Hourly data on concentration of air pollutants and meteorological parameters related to Gholhak stations in Tehran was used for modeling and estimation of AQI. Results: The results showed that CART model had better performance than AdaBoost model. To evaluate these models, root mean square error (RMSE), mean absolute error (MAE), mean squared error (MSE) and correlation coefficient (R) of the CART model for the test, were respectively, 0.75, 0.101, 0.563, and 0.99 when compared to the AdaBoost model (RMSE=7.1, MAE=5.11, MSE=50.52 and R=0.95) which implies the absolute superiority of the CART model than the AdaBoost model. Conclusion:The results of this study showed that regression decision tree model can be used as an efficient model for modelling and estimation of urban air quality index.