Assessment of daily variations of volatile organic compound in Tehran in 2010-2011
Maryam Sarkhosh1, Amir Hossein Mahvi2, Mohsen Mohseni3, Leila Shiry1, Javad Alavi4
1 Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
2 Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Science; Center for Solid Waste Research, Institute for Environmental Research; National Institute of Health Research, Tehran University of Medical Sciences, Tehran, Iran
3 Department of Environmental Health Engineering, School of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran
4 School of Environmental Technology, Motahar Institute of Higher Education, Tehran, Iran
|Date of Web Publication||31-Dec-2014|
Amir Hossein Mahvi
Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran
Source of Support: Tehran University of Medical Sciences, Conflict of Interest: None
Aims: In accordance with the Air Clean Act developed for ozone monitoring, the measurement of volatile organic compounds (VOCs) based on photochemical assessment monitoring stations (PAMS) was carried out.
Materials and Methods: Thirteen species of VOCs were measured on Enghelab square in Tehran by PhoCheck PID Detector at morning, noon, and afternoon for 3 months. The data were reported as descriptive statistics.
Results: Most of the VOCs species showed diurnal variations with higher concentrations in the noon. The highest concentration of VOCs was aromatic group (AR: 0.549 ± 0.146 ppb). AR was the main contributor to photochemical smog.
Conclusion: The majority of the AR class and toluene may be followed by the impacts of heavy traffic and the peak values of VOCs concentrations occurred around mid-day which depends indirectly upon vehicles and emission of evaporations.
Keywords: Air pollution, photochemical assessment monitoring stations, vehicles, volatile organic compounds
|How to cite this article:|
Sarkhosh M, Mahvi AH, Mohseni M, Shiry L, Alavi J. Assessment of daily variations of volatile organic compound in Tehran in 2010-2011. Int J Env Health Eng 2014;3:35
|How to cite this URL:|
Sarkhosh M, Mahvi AH, Mohseni M, Shiry L, Alavi J. Assessment of daily variations of volatile organic compound in Tehran in 2010-2011. Int J Env Health Eng [serial online] 2014 [cited 2020 Apr 2];3:35. Available from: http://www.ijehe.org/text.asp?2014/3/1/35/148279
| Introduction|| |
Volatile organic compounds (VOCs) are liquid or solid compounds which contain organic carbon and their rate of evaporation is significantly high. These compounds after particulate matters have the greatest abundance and diversity of emission and are typically caused by mobile and stationary sources such as industries, paints, surfactants, and cooking. 
Depending upon compositions and concentrations, VOCs lead to various impacts on health and sanitation. The ranges of impacts are included from odor nuisance to lung capacity malfunctioning and even cancer. VOC concentration levels were so high in some sites in the USA which cause cancer, birth defects, and other serious diseases.  More than 50% of emitted VOCs are caused by vehicles which gasoline engines have the majority of proportion in comparison with gasoline engines. 
VOCs play an important role to form ozone at lower levels of atmosphere and are the main cause of smog generation. The main concern of photochemical smog effects is human health.  So the best way to prevent smog generation and ozone level increment is the prevention of VOCs emissions in ambient air. Photochemical assessment monitoring stations (PAMS) have been set up in accordance with the Air Clean Act (EPA 1990) in order to develop ozone monitoring in some countries such as South Korea, Chile, the USA, Canada, Britannia, and Australia from 1994. Meteorological parameters and VOCs, NO X , and ozone concentrations are recorded in these stations.  Tehran, the capital of Iran, is one of the largest cities in the world, and most of its inhabitants experience poor air quality every day despite covering only 0.04% of the country's total surface area; it accounts for 13% (9 million) of the total country's population. Air pollution has reached alarming levels in Tehran, and the city dwellers are being continuously exposed to its harmful effects. From September 2008 to September 2009, in more than 150 days, 8-h mean ozone concentrations have exceeded 100 μg/m 3 .  In particular, severe smog conditions have been reported in the winter months.  Due to lack of investigations and also air pollution crisis and its impacts, this study was carried out to monitor and analyze VOCs concentrations on the Enghelab Square which is known as high-traffic area in Tehran, Iran.
| Materials and methods|| |
The location of Tehran is in the longitude of eastern 51° 8′-51° 37′ and the latitude of northern 35° 34′-35° 50′. The total population of the area in 2011 was 9 million, and it covers 730 km 2 . The sampling site was located on Enghelab square. The geographical location of the site is shown in [Figure 1].
This is a cross-sectional descriptive study. Because the location of site sampling is near to highway and surrounded by small commercial and residential buildings, VOCs distributions represent the mixed effects of different types of human sources. Samplings were daily taken three times per day at 8 a.m., noon, and 4 p.m. from January to March 2011. Portable Phocheck as Photoionization detector with 10.6ev ultraviolet lamp was used to measure VOCs in this study. Detector is equipped with 0.5 microns filter and sucks the air by flow rate of about 200 ml/min. Then, volatile compounds are measured by ultraviolet light detectors. Before each sampling, the detector was calibrated by blue carbon filter which was made by its manufacturer. In this research, 13 species of VOCs were measured and simultaneously temperature and humidity were also recorded by portable PHB-318 detector. Finally, software, SPSS 16.0 and Excel 2010, were applied to analyze data and they were reported as descriptive statistics.
| Results|| |
[Table 1] shows the data of VOCs including chemical formula, four main classes consisting of alkene (AK), aromatic (AR), olefins (OF), and paraffin (PR). In addition, statistical summary of average concentrations of VOCs during the days in period of the study for each class is shown in [Table 1]. It should be noted that the average temperature and humidity in site sampling location were 17.2°C and 35.3%, respectively.
|Table 1: Data summary of volatile organic compounds from January to March 2011 (ppb)|
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Reported results show that the lowest level of VOCs concentrations belonged to Aniline with 0.048 ± 0.051 ppb while the most level of average concentrations were allocated to Decane with 0.151 ± 0.108 ppb, Methyl bromide with 0.141 ± 0.156 ppb and toluene with 0.135 ± 0.108 ppb. As can be presented in [Table 1], ARs have the most levels of concentrations.
| Discussion|| |
As shown in [Figure 2], [Figure 3], [Figure 4], the peak values of VOCs concentrations occurred at noon which depends indirectly upon vehicles and evaporation residues. In this regards, cooking can be one of the reasons for increase in VOCs concentrations. Another reason is the gentle winds from West and South West to Enghelab square leading to dilution of pollutants in ambient air. The minimum wind speed was recorded at noon which was lower than 1 m/s. Also, it is expected that VOCs concentrations decrease at afternoon because photochemical reactions reach the peak at noon. Another cause can be mentioned is plant activities. This source has low proportion of VOCs generation but biological reactions rise rapidly at sunrise leading to produce VOCs. , The results of studies conducted in Seoul in 2004 revealed that the maximum levels of VOCs were observed at noon.  In this study, ARs had the highest level of concentrations with 0.549 ppb. They are typically originated from vehicular combustion sources. In fact, 41-52% of combustion of fuels is composed of ARs which are more than other classes, 28-47% for paraffin, and 7-12% for OF. The high level of ARs along with toluene represents heavy traffic. 
|Figure 2: The hourly mean concentrations of decane, carbon disulfide, chlorobenzene, and cyclohexane in 2011|
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|Figure 3: The hourly mean concentrations of aniline, benzene, benzaldehyde, and butoxyethanol in 2011|
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|Figure 4: The hourly mean concentrations of toluene, isobutane, methyl bromide, ethylbenzene, and hexane in 2011|
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Comparison of measured data with data from other countries is presented in [Table 2]. According to this Table, the highest level of VOCs concentration is toluene (21.8 ppb) in Santiago, Chile,  and is methyl bromide (19.2 ppm) in Karachi, Pakistan.  However, the majority of VOCs concentration levels are generally lower than 20 ppb. As can be observed from [Table 2], the lowest ratio for AR class belonged to Britannia with average 5.8 ppb among 12 cities.  The most value of AR category was observed in Chile with 40.2 ppb. ARs are the main cause of ozone generation in Shanghai.  About 79% of ozone produced in mentioned area was originated from AR compounds.  AR concentrations are dominant in Santiago (Chile), Shanghai (China), and this study which are well known as five cities of the world for their smog. So, vehicles are the main factor of occurrences resulted from smog. However, the differences in compounds studied, VOCs measuring and analysis methods, and collected data avoid comparing data and concluding.
|Table 2: Comparison of volatile organic compounds concentrations in some countries|
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One of the restrictions of this research is the number of stations. Since it was not possible to take sample simultaneously from all stations by one detector, the selection of station in the middle of city was done in an area where whole VOCs sources, such as vehicles, restaurants, publishers, and green places are available.
It should be noted that more researches are essential to identify and monitor toxic and hazardous pollutants.
| Conclusion|| |
A total of 18 samples were measured from January to March 2011. To observe general characteristics and diurnal variations of VOC concentrations, concentrations were measured in the morning, noon, and afternoon. Total VOC concentrations showed diurnal variations with high concentrations in the noon. The majority of the AR class and toluene may be followed by the impacts of heavy traffic and the peak values of VOCs concentrations occurred around mid-day which depends indirectly upon vehicles and emission of evaporations.  The presence of VOCs produces ozone and smog which cause acidification and climate change. Photochemical smog, ozone, and ARs lead to headache, eye irritation, respiration diseases, and even cancer in long term.  European legislation  regulates the standard levels of tropospheric ozone, and also recommends that a whole list of VOC ozone precursors be measured so that trends can be analyzed, the eficiency of emission reduction strategies can be checked, and sources of emission can be determined. There are different ways to reduce emission of VOCs from vehicles which include using of liquefied petroleum gas or compressed natural gas instead of using gasoline, using other transportation systems such as bus and bicycle which result in control and reduction of VOCs in ambient air.
| Acknowledgments|| |
The support of this work by personnel of air quality control laboratory at School of Public Health, Tehran University of Medical Sciences is highly appreciated.
| References|| |
Broderick B, Marnane I. A comparison of the C2-C9 hydrocarbon compositions of vehicle fuels and urban air in Dublin, Ireland. Atmos Environ 2002;36:975-86.
Nguyen HT, Kim KH, Kim MY. Volatile organic compounds at an urban monitoring station in Korea. J Hazard Mater 2009;161:163-74.
Watson JG, Chow JC, Fujita EM. Review of volatile organic compound source apportionment by chemical mass balance. Atmos Environ 2001;35:1567-84.
Lin TY, Sree U, Tseng SH, Chiu KH, Wu CH, Lo JG. Volatile organic compound concentrations in ambient air of Kaohsiung petroleum refinery in Taiwan. Atmos Environ 2004;38:4111-22.
The Clean Air Act Amendments (CAAA). PAMS site descriptions, 1990. Available from: http://www.epa.gov/air/oaqps/pams/general.html.
Naddafi K, Sowlat M, Safari M. Integrated assessment of air pollution in Tehran, over the period from September 2008 to September 2009. Iran J Public Health 2012;41:77-86.
The Economist Debate Series, 2010. The smoggiest of all capitals. Available from: http://www.economist.com/node/17804554. [Last accessed 2010 Dec 29].
Hsieh CC, Tsai JH. VOC concentration characteristics in Southern Taiwan. Chemosphere 2003;50:545-56.
Khoder M. Ambient levels of volatile organic compounds in the atmosphere of Greater Cairo. Atmos Environ 2007;41:554-66.
Chenl TY, Simpson IJ, Blake DR, Rowland FS. Impact of the Leakage of Liquefied Petroleum Gas (LPG) on Santiago Air Quality. Geophys Res Lett 2001;28:2193-6.
Barletta B, Meinardi S, Simpson IJ, Khwaja HA, Blake DR, Rowland FS. Mixing ratios of volatile organic compounds (VOCs) in the atmosphere of Karachi, Pakistan. Atmos Environ 2002;36:3429-43.
Derwent R, Davies T, Delaney M, Dollard G, Field R, Dumitrean P, et al
. Analysis and interpretation of the continuous hourly monitoring data for 26 C2-C8 hydrocarbons at 12 United Kingdom sites during 1996. Atmos Environ 2000;34:297-312.
Geng F, Zhao C, Tang X, Lu G, Tie X. Analysis of ozone and VOCs measured in Shanghai: A case study. Atmos Environ 2007;41:989-1001.
Ras MR, Marcé RM, Borrull F. Characterization of ozone precursor volatile organic compounds in urban atmospheres and around the petrochemical industry in the Tarragona region. Sci Total Environ 2009;407:4312-9.
Directive 2002/3/CE of the European Parliament and of the Council of 12 February 2002 relating to ozone in ambient air. Oficial Journal of the European Communities L67 2002;31:156-169.
[Figure 1], [Figure 2], [Figure 3], [Figure 4]
[Table 1], [Table 2]