Volume 20, Issue 1 (Iranian South Medical Journal 2017)                   Iran South Med J 2017, 20(1): 18-30 | Back to browse issues page


XML Persian Abstract Print


1- Department of Environmental Health Engineering, School of Public Health, Bushehr University of Medical Sciences, Bushehr, Iran
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, Bushehr University of Medical Sciences, Bushehr, Iran
3- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
4- Institutes of Water and Energy, Sharif University of Technology, Tehran, Iran
5- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran , majidkermani@yahoo.com
Abstract:   (6781 Views)

Background: In the last few decades, the city's air quality has become a major concern; especially there is strong evidence about health effects of particulate matter in urban communities.In addition to suspended particles concentration, the ionic part of suspended particles is also very important, So that some studies  ions like Sulfate is the reson of increasing the respiratory diseases.So the aim of this study was to study of concentration of PM2.5 particles and their ionic componentsincluding major anions and cations in twelfth region of Tehran city in 2013.

Materials & Methods: This cross - sectional study was conducted in the air of twelfth region of Tehran. PM2.5 concentration was calculated with sampling by frmOMNITMAmbient Air Sampler with PTFE filter with a diameter of 47 mm and through the weight measurement.Concentration of anions and cations which had associated with PM2.5 particles was read after collected sample preparation and injection to device Ion Chromatography (IC) Metrohm 850 model. Correlation matrix was calculated between anions and cations. Data analysis was carried out by Excel and SPSS version 18 and One-Way ANOVA test.

Results: The mean daily concentration of PM2.5 particles was 19.41 µg/m3 during the study. One-Way ANOVA test showed a significant difference at the 0.05 level between PM2.5 concentrations on different days of the week. Concentrations for sodium, potassium, ammonium, calcium, magnesium, sulfate, nitrate, chloride were obtained 0.28, 0.06, 0.49, 0.87, 0.63, 56.3, 1.43 and 0.71 µg/m3, respectively, and no value was detected for fluoride and nitrite. Balance between anions and cations were calculated and the correlation coefficient (R2) were obtained 0.972 between the anions and cations.

Conclusion The mean concentrations of PM2.5 was higher than the air standards in Iran and WHO guidelines (25 µg/m3) and EPA standards (35 µg/m3). In a study reported that the One-Way ANOVA test between particle concentrations on various days of the week indicated similar results. Sulfate and nitrate, and after that calcium had the highest concentrations. A high correlation was observed between the anions and cations. Correlation matrix between the anions and cations indicated that probable compounds in PM2.5 particles could be be (NH4)2SO4, CaSO4, CaCl2, KCl, K2SO4, NaCl and Ca(NO3)2.

Full-Text [PDF 1061 kb]   (4558 Downloads)    
Type of Study: Original | Subject: Public Health
Received: 2016/02/7 | Accepted: 2016/05/10 | Published: 2017/02/26

References
1. Ravindra K, Mittal AK, Van Grieken R. Health risk assessment of urban suspended particulate matter with special reference to polycyclic aromatic hydrocarbons: a review. Rev Environ Health 2001; 16(3): 169-89. [PubMed] [Google Scholar]
2. Kaushik CP, Ravindra K, Yadav K, et al. Assessment of ambient air quality in urban centres of Haryana (India) in relation to different anthropogenic activities and health risks. Environ Monit Assess 2006; 122(1-3): 27-40. [PubMed] [Google Scholar]
3. Pope CA, Dockery DW. Health effects of fine particulate air pollution: lines that connect. J Air Waste Manag Assoc 2006; 56(6): 709-42. [PubMed] [Google Scholar]
4. Geravandi S, Goudarzi G, Soltani F, et al. Sulfur dioxide pollutant and its effects on disease incidence and death among the citizens of Bushehr city. Iran South Med J 2016; 19(4): 598-607. (Persian) [Google Scholar]
5. Kenneh Wark CF, Wayne T. Air Pollution: Its Origin and Control. 3rd ed. India: Pearson, 1998, 267-83. [Google Scholar]
6. Espinosa AJF, Rodrı́guez MT, Barragán de la Rosa FJ, et al. Size distribution of metals in urban aerosols in Seville (Spain). Atmospheric Environment 2001; 35(14): 2595-601. [Google Scholar]
7. Wojas B, Almquist C. Mass concentrations and metals speciation of PM2.5, PM10, and total suspended solids in Oxford, Ohio and comparison with those from metropolitan sites in the Greater Cincinnati region. Atmospheric Environment 2007; 41(39): 9064-78. [Google Scholar]
8. Vineis P, Husgafvel-Pursiainen K. Air pollution and cancer: biomarker studies in human populations. Carcinogenesis 2005; 26(11): 1846-55. [PubMed] [Google Scholar]
9. Pope CA, Burnett RT, Thun MJ, et al. Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution. JAMA 2002; 287(9): 1132-41. [PubMed] [Google Scholar]
10. Ozkaynak H, Thurston GD. Associations between 1980 U.S. mortality rates and alternative measures of airborne particle concentration. Risk Anal 1987; 7(4): 449-61. [PubMed] [Google Scholar]
11. Schwartz J. Harvesting and long term exposure effects in the relation between air pollution and mortality. Am J Epidemiol 2000; 151(5): 440-8. [PubMed] [Google Scholar]
12. Dockery DW, Pope CA, Xu X, et al. An association between air pollution and mortality in six US cities. N Engl J Med 1993; 329(24): 1753-9. [PubMed] [Google Scholar]
13. Lippmann M, Thurston GD. Sulfate concentrations as an indicator of ambient particulate matter air pollution for health risk evaluations. J Expo Anal Environ Epidemiol 1996; 6(2): 123-46. [PubMed] [Google Scholar]
14. Lippmann M, Ito K, Nadas A, et al. Association of particulate matter components with daily mortality and morbidity in urban populations. Res Rep Health Eff Inst 2000; (95): 5-82. [PubMed] [Google Scholar]
15. Likens GE, Driscoll CT, Buso DC. Long-term effects of acid rain: response and recovery of a forest ecosystem. Science 1996; 272(5259): 244-5. [Google Scholar]
16. EPA. Alternate 1 in 3 sampling and return shipping schedule. Environmental Protection Agency. (Accessed November 29, at https://www3.epa.gov/ttn/amtic/calendar.html)
17. Leili M, Naddafi K, Nabizadeh R, et al. The study of TSP and PM10 concentration and their heavy metal content in central area of Tehran, Iran. Air Quality, Atmosphere & Health 2008; 1(3): 159-66. (Persian) [Google Scholar]
18. Wang Y, Zhuang G, Sun Y, et al. The variation of characteristics and formation mechanisms of aerosols in dust, haze, and clear days in Beijing. Atmospheric Environment 2006; 40(34): 6579-91. [Google Scholar]
19. Kang CH, Kim WH, Ko HJ, et al. Asian dust effects on total suspended particulate (TSP) compositions at Gosan in Jeju Island, Korea. Atmospheric Research 2009; 94(2): 345-55. [Google Scholar]
20. Wang Y, Zhuang G, Zhang X, et al. The ion chemistry, seasonal cycle, and sources of PM< sub> 2.5 and TSP aerosol in Shanghai. Atmospheric Environment 2006; 40(16): 2935-52. [Google Scholar]
21. Park SH, Song CB, Kim MC, et al. Study on size distribution of total aerosol and water-soluble ions during an Asian dust storm event at Jeju Island, Korea. Environ Monit Assess 2004; 93(1-3): 157-83. [PubMed] [Google Scholar]
22. Zhao Z, Tian L, Fischer E, et al. Study of chemical composition of precipitation at an alpine site and a rural site in the Urumqi River Valley, Eastern Tien Shan, China. Atmospheric Environment 2008; 42(39): 8934-8942. [Google Scholar]
23. Cheng MT, Chou WC, Chio CP, et al. Compositions and source apportionments of atmospheric aerosol during Asian dust storm and local pollution in central Taiwan. J Atmo Chem 2008; 61(2): 155-73. [Google Scholar]
24. Tan JH, Duan JC, Chen DH, et al. Chemical characteristics of haze during summer and winter in Guangzhou. Atmospheric Research 2009; 94(2): 238-45. [Google Scholar]
25. Zhang R, Wang Z, Shen Z, et al. Physicochemical characterization and origin of the 20 March 2002 heavy dust storm in Beijing. Aerosol Air Qual Res 2006; 6(3): 268-80. [Google Scholar]
26. Wang Y, Zhuang G, Sun Y, et al. Water-soluble part of the aerosol in the dust storm season-evidence of the mixing between mineral and pollution aerosols. Atmospheric Environment 2005; 39(37): 7020-9. [Google Scholar]
27. Kim NK, Park HJ, Kim YP. Chemical composition change in TSP due to dust storm at Gosan, Korea: do the concentrations of anthropogenic species increase due to dust storm. Water Air Soil Pollut 2009; 204(1-4): 165-75. [Google Scholar]
28. Shen Z, Cao J, Arimoto R, et al. Ionic composition of TSP and PM 2.5 during dust storms and air pollution episodes at Xi'an, China. Atmospheric Environment 2009; 43(18): 2911-8. [Google Scholar]
29. Shahsavani A, Naddafi K, Haghighifard NJ, et al. Characterization of ionic composition of TSP and PM10 during the Middle Eastern Dust (MED) storms in Ahvaz, Iran. Environ Monit Assess 2012; 184(11): 6683-92. [PubMed] [Google Scholar]
30. Zhao X, Zhuang G, Wang Z, et al. Variation of sources and mixing mechanism of mineral dust with pollution aerosol-revealed by the two peaks of a super dust storm in Beijing. Atmospheric Research 2007; 84(3): 265-79. [Google Scholar]
31. Yao X, Chan CK, Fang M, et al. The water-soluble ionic composition of PM2. 5 in Shanghai and Beijing, China. Atmospheric Environment 2002; 36(26): 4223-34. [Google Scholar]
32. Prospero JM, Blades E, Mathison G, et al. Interhemispheric transport of viable fungi and bacteria from Africa to the Caribbean with soil dust. Aerobiologia 2005; 21(1): 1-19. [Google Scholar]
33. Alleman LY, Lamaison L, Perdrix E, et al. PM10 metal con centrations and source identification using positive matrix factorization and wind sectoring in a French industrial zone. Atmospheric Research 2010; 96(4): 612-25. [Google Scholar]
34. Ichinose T, Yoshida S, Hiyoshi K, et al. The effects of microbial materials adhered to Asian sand dust on allergic lung inflammation. Arch Environ Contam Toxicol 2008; 55(3): 348-57. [PubMed] [Google Scholar]
35. Raizenne M, Neas LM, Damokosh AI, et al. Health effects of acid aerosols on North American children: pulmonary function. Environ Health Perspect 1996; 104(5): 506-14. [PubMed] [Google Scholar]
36. Ravindra K, Sokhi R, Van Grieken R. Atmospheric polycyclic aromatic hydrocarbons: source attribution, emission factors and regulation. Atmospheric Environment 2008; 42(13): 2895-921. [Google Scholar]
37. Ravindra K, Stranger M, Van Grieken R. Chemical characterization and multivariate analysis of atmospheric PM2. 5 particles. J Atmos Chem 2008; 59(3): 199-218. [PubMed] [Google Scholar]
38. Ravindra K, Wauters E, Van Grieken R. Variation in particulate PAHs levels and their relation with the transboundary movement of the air masses. Sci Total Environ 2008; 396(2): 100-10. [PubMed] [Google Scholar]
39. Jacobson MC, Hansson HC, Noone KJ, et al. Organic atmospheric aerosols: Review and state of the science. Rev Geophys 2000; 38(2): 267-94. [PubMed] [Google Scholar]
40. Cheng MT, Lin YC, Chio CP, et al. Characteristics of aerosols collected in central Taiwan during an Asian dust event in spring 2000. Chemosphere 2005; 61(10): 1439-50. [PubMed] [Google Scholar]
41. Li J, Zhuang G, Huang K, et al. Characteristics and sources of air-borne particulate in Urumqi, China, the upstream area of Asia dust. Atmospheric Environment 2008; 42(4): 776-87. [Google Scholar]

Rights and Permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.