Evaluation of organic carbon, elemental carbon, and water soluble organic carbon concentration in PM2.5 in the ambient air of Sina Hospital district, Tehran, Iran

Document Type: Original Article

Authors

1 Department of Environmental Health Engineering, School of Public Health, Bushehr University of Medical Sciences, Bushehr AND Iran University of Medical Sciences, Tehran, Iran

2 Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran

3 Institutes of Water and Energy, Sharif University of Technology, Tehran, Iran

4 Research Center for Environmental Health Technology AND Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran

Abstract

In the present study, carbon species including organic carbon (OC), elemental carbon (EC), and water-soluble organic carbon (WSOC) concentration in PM2.5 were assessed at an urban site of Tehran, Iran during March to June 2014. The PM2.5 samples were collected using an frmOMNITM Ambient Air Sampler. Thermal gravimetric analysis (TGA) was used to analyze OC and EC. The results showed that PM2.5 concentrations varied from 14.32 to 74.45 µg/m3 with an average value of 41.39 µg/m3. The results also showed that carbon species varied from 5.52 to 23.21 (15.35 ± 6.05) µg/m3 for OC and 1.03 to 4.16 (2.25 ± 0.65) µg/m3 for EC. As the findings indicated, the mean PM2.5 level in the sampling area was higher than the annual average determined by the United States Environmental Protection Agency (EPA) as the ambient air quality standard. On average, carbon species (OC, EC, and WSOC) account for almost 60% of PM2.5 mass in the atmospheric outflow from a downwind site. OC and EC concentrations in atmospheric PM2.5 collected at the sampling site were lower than the values reported for other urban areas with high or medium vehicular traffic and/or industrial sources. Moreover, the results obtained in this research can provide a valuable data base for health risk evaluation of the local residents and prioritization of control actions.

Keywords


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