Skip to main content

Advertisement

Log in

Outdoor PM10 source apportionment in metropolitan cities—a case study

  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

This study was carried out to specify contribution of different sources in PM10 emission in Tehran City using chemical mass balance method. This is the first time that this method is used in Iran. To this end, the metallic elements including V, Ni, As, Pb, Cd, Hg, Mn, Al, Ca, K, Na, Fe, Zn, Sc, and S were sampled on the filters of high-volume sampler installed at four stations in Tehran. Afterward, highly sensitive inductively coupled plasma (ICP-M90; model aurora-Elit) was used to determine concentration of the elements precipitated on the filters. The obtained results were then compared with standard values. According to the results, the concentration of Cd (16.8 ng/m3) was higher than the standard level of 5 ng/m3 at District 16 on November 14th 2012 which is almost three times the permissible limit. None of the elements Pb, Mn, V, and Hg exceeded the permissible limits except for Ni at District 16. Subsequently, the enrichment factor of the elements was calculated to indicate that elements of anthropogenic origins (Zn, S, Ni, and Hg) are highly enriched with respect to crustal composition (Na, Fe, and Ca). Exceedance factor were calculated for elements of each site to show that all study sites were in low-pollution category. Afterward, the contribution of different pollution sources of road dust, vehicles, and industries in emission of outdoor PM10 was investigated through chemical mass balance (CMB) method. According to which, the highest contribution comes from road dust with a share of 95.4 % of the total outdoor PM10 emission in Tehran mainly originated from the wear and friction of car tires with asphalt pavement. High calcium concentration in all districts of the city confirms the claim. Furthermore, transportation, with a significant difference, has a contribution of 4.05 % of total outdoor PM10 released while industries share very little about 0.4 %. In overall, the quality of road pavement could be a determining factor in releasing considerable amount of outdoor PM10 in urban areas.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Abu-Allaban, M., Lowenthal, D. H., Getler, A. W., & Labib, M. (2007). Source of PM10 and PM2.5 in Cairo’s ambient air. Environmental Monitoring and Assessment, 133, 417–425.

    Article  CAS  Google Scholar 

  • Antony Chen, L. W., Watson, J. G., Chow, J. C., DuBois, D. W., & Herschberger, L. (2010). Chemical mass balance source apportionment for combined pm2/5 measurement from US non-urban and urban long-term networks. Atmospheric Environment, 440, 4908–4918.

    Article  Google Scholar 

  • AQGP. (2013). Air Quality Guide for Particle Pollution, Office of Air Quality and Radiation (6301A), EPA-456/F-13-005, www.airnow.gov.

  • Argyropoulos, G., Manoli, E., Kouras, A., & Samara, C. (2012). Concentrations and source apportionment of PM10 and associated major and trace elements in the Rhodes Island, Greece. Science of the Total Environment, 432, 12–22.

    Article  CAS  Google Scholar 

  • Atabi, F., Abbaspour, M., Karbassi, A. R., & Haj Mirza Hosseini, S. A. (2007). Modeling the emission of particulate matter using ADMS-Urban. Journal of Environmental Science and Technology, 9, 1–15.

    CAS  Google Scholar 

  • Bernardoni, V., Vecchi, R., Valli, G., Piazzalunga, A., & Fermo, P. (2011). PM10 source apportionment in Milan (Italy) using time-resolved data. Science of the Total Environment, 409, 4788–4795.

    Article  CAS  Google Scholar 

  • Bravo Alvarez, H., Sosa Echeverria, R., Sanchez Alvarez, P., & Krupa, S. (2013). Air quality standards for particulate matter (PM) at high altitude cities. Environmental Pollution, 173, 255–256.

    Article  CAS  Google Scholar 

  • Caseiro, A., Bauer, H., Marr, I., Pio, C., Puxbaum, H., & Simeonov, V. (2008). P5.1 Aerosols in the atmosphere; quantifying source contribution to ambient particulate matter in austria with chemical mass balance receptor modeling (pp (711–712)). Air Pollution Modeling and Its Application XIX , NATO Science for Peace and Security Series Series C: Environmental Security 2008.

  • Cheng, Y., Lee, Sh., Gu, Zh., Ho, K., Zhang, Y., Huang, Y., Chow, J.C., Watson, J.G., Cao, J., & Zhang, R. (2013). PM2.5 and PM10-2.5 chemical composition and source apportionment near a Hong Kong roadway. Particuology, in press, doi:10.1016/J.Partic.2013.003

  • Christensen, W. F. (2004). Chemical mass balance analysis of air quality data when unknown pollution sources are present. Atmospheric Environment, 38, 4305–4317.

    Article  CAS  Google Scholar 

  • Coulter, C.Th. (2004). EPA-CMB 8.2 user manual. Air Quality Modeling Group Emissions, Monitoring & Analysis Division Office of Air Quality Planning & Standards Research Triangle Park, NC 27711.

  • Ejtehadi, M. (2007). An overview on comprehensive plan to control air pollution in Tehran with an emphasis on particulate matter and presenting management strategies. Tehran: Science and Research Branch, Islamic Azad University [in Persian].

    Google Scholar 

  • Gupta, A. K., Karar, K., & Srivastava, A. (2007). Chemical mass balance source apportionment of PM10 and TSP in residential and industrial sites of an urban region of Kolkata, India. Journal of Hazardous Materials, 142, 279–287.

    Article  CAS  Google Scholar 

  • Hou, Q., An, X., Wang, Y., Tao, Y., & Sun, Z. (2012). An assessment of China's PM10-related health economic losses in 2009. Science of the Total Environment, 435–436, 61–65.

    Article  Google Scholar 

  • Ji, A. M., Yan, S. M., Gao, Y., Wan, S. R., & Liu, H. Y. (2012). Source apportionment of PM10 in the open air of urban area in Tangshan, China. Applied Mechanics and Materials, 209–211, 1545–1548.

    Article  Google Scholar 

  • Juda-Rezler, K., Reizer, M., & Oudinet, J. P. (2011). Determination and analysis of PM10 source apportionment during episodes of air pollution in Central Eastern European urban areas: the case of wintertime 2006. Atmospheric Environment, 45, 6557–6566.

    Article  CAS  Google Scholar 

  • Kanabkaew, T., Nookongbut, P., & Soodjai, P. (2013). Preliminary assessment of particulate matter air quality associated with traffic emissions in Nakhon Si Thammarat, Thailand. Procedia Engineering, 53, 179–184.

    Article  Google Scholar 

  • Keuken, M., Zandveld, P., van den Elshout, S., Janssen, N. A. H., & Hoek, G. (2011). Air quality and health impact of PM10 and EC in the city of Rotterdam, the Netherlands in 1985–2008. Atmospheric Environment, 45, 5294–5301.

    Article  CAS  Google Scholar 

  • Kowalczyk, G. S., Gordon, G. E., & Rheingrover, S. W. (1982). Identification of atmospheric particulate sources in Washington, D.C., using chemical element balances. Environmental Science and Technology, 16, 79–90.

    Article  CAS  Google Scholar 

  • NMAM. (2003). Niosh Manual of Analytical Methods,Elements by ICP (Hot block/HCL/HNO3Ashing): Method- 7303,2003:Issue1, www.cdc.gov/NIOSH/ docs /2003-154/pdf/7303.

  • Sarala Thambavani, D., & Maheswari, J. (2013). Source apportionment of particulate air pollution and percentage contribution of PM10 and PM2/5 using chemical mass balance (CMB) method. Journal of Chemical Science Transaction, 2, 614–620.

    Article  CAS  Google Scholar 

  • Seinfeld, J.H., & Pandis, S.N. (2006). Atmospheric chemistry and physics from air pollution to climate change. 2nd edition, (PP. 549–553). Wiley-Interscience.

  • Shah, M., Shaheen, N., & Nazir, R. (2012). Assessment of the trace elements level in urban atmospheric particulate matter and source apportionment in Islamabad. Pakistan Atmospheric Pollution Research, 3, 39–45.

    CAS  Google Scholar 

  • Srimuruganandam, B., & Shiva Nagendra, S. M. (2012). Source characterization of PM10 and PM2/5 mass using chemical matter made at urban roadside. Science of the Total Environment, 433, 8–19.

    Article  CAS  Google Scholar 

  • Sweet, C. W., Vermette, S. J., & Landsberger, S. (1993). Sources of toxic trace elements in urban air in Illinois. Environmental Science & Technology, 27, 2502–2510.

    Article  CAS  Google Scholar 

  • Tan, J., Duan, J., Chai, F., He, K., & Hao, J. (2014). Source apportionment of size segregated fine/ultrafine particle by PMF in Beijing. Atmospheric Research, 139, 90–100.

    Article  CAS  Google Scholar 

  • Timonen, H., Wigder, N., & Jaffe, D. (2013). Influence of background particulate matter (PM) on urban air quality in the Pacific Northwest. Journal of Environmental Management, 129, 333–340.

    Article  CAS  Google Scholar 

  • Wang, X., Bi, X., Sheng, G., & Fu, J. (2006). Chemical composition and sources of PM10 and PM2.5 aerosols in Guangzhou, China. Environmental Monitoring and Assessment, 779, 425–439.

    Article  Google Scholar 

  • Wang, H., Zhuang, Y., Wang, Y., Sun, Y., Yuan, H., Zhuang, G., & Hao, Z. (2008). Long-term monitoring and source apportionment of PM2.5/PM10 in Beijing, China. Journal of Environmental Sciences, 20, 1323–1327.

    Article  CAS  Google Scholar 

  • Watson, J. G. (2004). Protocol For applying and Validating the CMB Model For PM2/5 and VOC. Desert Research Institute, University and Community College System of Nevada. U S. Environmental Protection Agency Office of Air Quality Planning and Standards Emission, Monitoring and Analysis Division, Air quality Modeling Group, Nevada, USA.

  • WHO. (2000). WHO air quality guideline for Europe (2nd ed.). Copenhagen: WHO Regional Publications, European Series, No. 91, World Health Organization Regional Office for Europe.

    Google Scholar 

  • WHO. (2005). WHO Air quality guidelines- global update 2005, particulate matter, ozone, nitrogen dioxide and sulfur dioxide. World Health Organization Regional Office for Europe. Denmark: Copenhagen.

    Google Scholar 

  • Wiriya, W., Prapamontol, T., & Chantara, S. (2013). PM10-bound polycyclic aromatic hydrocarbons in Chiang Mai (Thailand): seasonal variations, source identification, health risk assessment and their relationship to air-mass movement. Atmospheric Research, 124, 109–122.

    Article  CAS  Google Scholar 

  • Yatkin, S., & Bayram, A. (2010). TSP, PM deposition, and trace elements in the vicinity of a cement plant and their source apportionments using chemical mass balance model in Izmir, Turkey. Environmental Monitoring and Assessment, 167, 125–141.

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Aida Biati.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kholdebarin, A., Biati, A., Moattar, F. et al. Outdoor PM10 source apportionment in metropolitan cities—a case study. Environ Monit Assess 187, 49 (2015). https://doi.org/10.1007/s10661-015-4294-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10661-015-4294-z

Keywords

Navigation