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Receptor model-based source apportionment of particulate pollution in Hyderabad, India

Environmental Monitoring and Assessment volume 185, pages 5585–5593 (2013)Cite this article

Abstract

Air quality in Hyderabad, India, often exceeds the national ambient air quality standards, especially for particulate matter (PM), which, in 2010, averaged 82.2 ± 24.6, 96.2 ± 12.1, and 64.3 ± 21.2 μg/m3 of PM10, at commercial, industrial, and residential monitoring stations, respectively, exceeding the national ambient standard of 60 μg/m3. In 2005, following an ordinance passed by the Supreme Court of India, a source apportionment study was conducted to quantify source contributions to PM pollution in Hyderabad, using the chemical mass balance (version 8.2) receptor model for 180 ambient samples collected at three stations for PM10 and PM2.5 size fractions for three seasons. The receptor modeling results indicated that the PM10 pollution is dominated by the direct vehicular exhaust and road dust (more than 60 %). PM2.5 with higher propensity to enter the human respiratory tracks, has mixed sources of vehicle exhaust, industrial coal combustion, garbage burning, and secondary PM. In order to improve the air quality in the city, these findings demonstrate the need to control emissions from all known sources and particularly focus on the low-hanging fruits like road dust and waste burning, while the technological and institutional advancements in the transport and industrial sectors are bound to enhance efficiencies. Andhra Pradesh Pollution Control Board utilized these results to prepare an air pollution control action plan for the city.

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References

  • APPCB. (2006). Analysis of air pollution and health impacts in Hyderabad. APPCB report submitted to Burelal Committee. Hyderabad: Govt. of India, Andhra Pradesh Pollution Control Board.

    Google Scholar 

  • Chen, L. W. A., Watson, J. G., Chow, J. C., DuBois, D. W., & Herschberger, L. (2010). Chemical mass balance source apportionment for combined PM2 (5) measurements from U S non-urban and urban long-term networks. Atmospheric Environment, 44, 4908–4918.

    Article  Google Scholar 

  • Chowdhury, Z., Zheng, M., Schauer, J. J., Sheesley, R. J., Salmon, L. G., Cass, G. R., & Russell, A. G. (2007). Speciation of ambient fine organic carbon particles and source apportionment of PM2.5 in Indian cities. Journal of Geophysical Research, 112, D15303.

    Article  Google Scholar 

  • Coulter, C. T. (2004). Chemical mass balance receptor model version 8: User's manual. Research Triangle Park: United States Environmental Protection Agency.

    Google Scholar 

  • CPCB. (2010). Air quality monitoring, emission inventory and source apportionment study for Indian cities. New Delhi: Central Pollution Control Board, Government of India.

    Google Scholar 

  • Gummeneni, S., Yusup, Y. B., Chavali, M., & Samadi, S. Z. (2011). Source apportionment of particulate matter in the ambient air of Hyderabad city, India. Atmospheric Research, 101(3), 752–764.

    Article  CAS  Google Scholar 

  • Guttikunda, S. K., & Jawahar, P. (2012). Application of SIM-air modeling tools to assess air quality in Indian cities. Atmospheric Environment, 62, 551–561.

    Article  CAS  Google Scholar 

  • HEI. (2010). Outdoor air pollution and health in the developing countries of Asia: A comprehensive review. Special Report 18. Boston: Health Effects Institute.

    Google Scholar 

  • IES. (2004). Emission inventory and co-benefits analysis for Hyderabad, India. Integrated Environmental Strategies India Program. Washington DC: USEPA.

    Google Scholar 

  • IES. (2008). Co-benefits of air pollution and GHG emission reductions in Hyderabad, India. Integrated Environmental Strategies India Program. Washington DC: USEPA.

    Google Scholar 

  • Johnson, T. M., Guttikunda, S. K., Wells, G., Bond, T., Russell, A., West, J., & Watson, J. (2011). Tools for improving air quality management. A review of top-down source apportionment techniques and their application in developing countries. ESMAP Publication Series. Washington DC: The World Bank.

    Google Scholar 

  • Schwela, D., Haq, G., Huizenga, C., Han, W., Fabian, H., & Ajero, M. (2006). Urban air pollution in Asian cities—status, challenges and management. London: Earthscan Publishers.

    Google Scholar 

  • Shah, J., Nagpal, T., Johnson, T., Amann, M., Carmichael, G., Foell, W., Green, C., Hettelingh, L. P., Hordijk, L., Li, J., Peng, C., Pu, Y. F., Ramankutty, R., & Streets, D. (2000). Integrated analysis for acid rain in Asia: policy implications and results of RAINS-ASIA model. Annual Review of Energy and the Environment, 25, 339–375.

    Article  Google Scholar 

  • Watson, J. G., Cooper, J. A., & Huntzicker, J. J. (1984). The effective variance weighting for least squares calculations applied to the mass balance receptor model. Atmospheric Environment, 18, 1347–1355.

    Article  CAS  Google Scholar 

  • Watson, J. G., Chen, L. W. A., Chow, J. C., Doraiswamy, P., & Lowenthal, D. H. (2008). Source apportionment: findings from the US supersites program. Journal of the Air & Waste Management Association, 58, 265–288.

    Article  CAS  Google Scholar 

Download references

Acknowledgments

This study was conducted as part of USEPA’s Integrated Environmental Strategies program (IES, Washington DC, USA) and supported by the World Bank (Washington DC, USA). This paper is subjected to internal peer and policy review by the funding agencies and, therefore, does not necessarily reflect the views of the agencies. No official endorsement should be inferred.

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Authors and Affiliations

  1. Division of Atmospheric Sciences, Desert Research Institute, Reno, NV, 89512, USA

    Sarath K. Guttikunda & Alan W. Gertler

  2. Andhra Pradesh Pollution Control Board, Hyderabad, 500018, India

    Ramani V. Kopakka & Prasad Dasari

Authors
  1. Sarath K. Guttikunda
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  2. Ramani V. Kopakka
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  3. Prasad Dasari
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  4. Alan W. Gertler
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Correspondence to Sarath K. Guttikunda.

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Guttikunda, S.K., Kopakka, R.V., Dasari, P. et al. Receptor model-based source apportionment of particulate pollution in Hyderabad, India. Environ Monit Assess 185, 5585–5593 (2013). https://doi.org/10.1007/s10661-012-2969-2

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  • DOI: https://doi.org/10.1007/s10661-012-2969-2

Keywords

  • Hyderabad
  • India
  • Particulate pollution
  • Source apportionment