Environmental Modeling & Assessment

, Volume 17, Issue 6, pp 613–622 | Cite as

Environmental Modeling and Methods for Estimation of the Global Health Impacts of Air Pollution

  • Shilpa RaoEmail author
  • Vadim Chirkov
  • Frank Dentener
  • Rita Van Dingenen
  • Shonali Pachauri
  • Pallav Purohit
  • Markus Amann
  • Chris Heyes
  • Patrick Kinney
  • Peter Kolp
  • Zbigniew Klimont
  • Keywan Riahi
  • Wolfgang Schoepp


Air pollution is increasingly recognized as a significant contributor to global health outcomes. A methodological framework for evaluating the global health-related outcomes of outdoor and indoor (household) air pollution is presented and validated for the year 2005. Ambient concentrations of PM2.5 are estimated with a combination of energy and atmospheric models, with detailed representation of urban and rural spatial exposures. Populations dependent on solid fuels are established with household survey data. Health impacts for outdoor and household air pollution are independently calculated using the fractions of disease that can be attributed to ambient air pollution exposure and solid fuel use. Estimated ambient pollution concentrations indicate that more than 80% of the population exceeds the WHO Air Quality Guidelines in 2005. In addition, 3.26 billion people were found to use solid fuel for cooking in three regions of Sub Saharan Africa, South Asia and Pacific Asia in 2005. Outdoor air pollution results in 2.7 million deaths or 23 million disability adjusted life years (DALYs) while household air pollution from solid fuel use and related indoor smoke results in 2.1 million deaths or 41.6 million DALYs. The higher morbidity from household air pollution can be attributed to children below the age of 5 in Sub Saharan Africa and South Asia. The burden of disease from air pollution is found to be significant, thus indicating the importance of policy interventions.


Air pollution Atmospheric PM2.5 Health impact methodology Solid fuels Household health 


  1. 1.
    Curtis, L., et al. (2006). Adverse health effects of outdoor air pollutants. Environment International, 32(6), 815–830.CrossRefGoogle Scholar
  2. 2.
    Dockery, D. W. (993). An association between air pollution and mortality in six U.S. cities. The New England Journal of Medicine, 329(24), 1753–1759.CrossRefGoogle Scholar
  3. 3.
    Pope, C. A. I., et al. (1995). Particulate air pollution as a predictor of mortality in a prospective study of U.S. adults. American Journal of Respiratory and Critical Care Medicine, 151(3 Pt 1), 669–674.Google Scholar
  4. 4.
    Schwartz, J., Dockery, D. W., & Neas, L. M. (1996). Is daily mortality associated specifically with fine particles? Journal of the Air & Waste Management Association, 46(10), 927–939.CrossRefGoogle Scholar
  5. 5.
    WHO, Global Health Risk Report. 2009, World Health Organization: Geneva.Google Scholar
  6. 6.
    Jack, D. W., & Kinney, P. L. (2010). Health co-benefits of climate mitigation in urban areas. Current Opinion in Environmental Sustainability, 2(3), 172–177.CrossRefGoogle Scholar
  7. 7.
    van Donkelaar, A., et al., Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and Application. Environ Health Perspect, 2010. 118(6).Google Scholar
  8. 8.
    Brauer, M., et al. (2012). Exposure assessment for estimation of the global burden of disease attributable to outdoor air pollution, 46, 652–60.Google Scholar
  9. 9.
    Anenberg, S.C., et al., An estimate of the global burden of anthropogenic ozone and fine particulate matter on premature human mortality using atmospheric modeling. Environ Health Perspect, 2010. 118(9).Google Scholar
  10. 10.
    van Vuuren, D., et al. (2011). The representative concentration pathways: an overview. Climatic Change, 109(1), 5–31.CrossRefGoogle Scholar
  11. 11.
    Ekholm, T., et al. (2010). Determinants of household energy consumption in India. Energy Policy, 38(10), 5696–5707.CrossRefGoogle Scholar
  12. 12.
    AGECC, Energy for a sustainable future: summary report and recommendations. 2010, The UN Secretary-General's Advisory Group on Energy and Climate Change (AGECC): New York.Google Scholar
  13. 13.
    WB, Household cookstoves, environment, health, and climate change: a new look at an old problem. 2011, The World Bank: Washington DC.Google Scholar
  14. 14.
    International Energy Agency, I., World energy outlook 2011. 2011, Paris: OECD. 663.Google Scholar
  15. 15.
    GEA. (2011). Global energy assessment: towards a sustainable future. Cambridge: Cambridge University Press.Google Scholar
  16. 16.
    UNDP and WHO, The energy access situation in developing countries: a review focusing on the least developed countries and Sub-Saharan Africa. 2009, The energy access situation in developing countries: a review focusing on the least developed countries and Sub-Saharan Africa: New York.Google Scholar
  17. 17.
    Messner, S. and M. Strubegger, User's guide for MESSAGE III. 1995, IIASA: Laxenburg, Austria.Google Scholar
  18. 18.
    Rao, S. and K. Riahi, The role of non-CO 2 greenhouse gases in climate change mitigation: long-term scenarios for the 21st century. The Energy Journal, 2006. Multi-Greenhouse Gas Mitigation and Climate Policy(Special Issue #3): p. 177-200.Google Scholar
  19. 19.
    Riahi, K., Grübler, A., & Nakicenovic, N. (2007). Scenarios of long-term socio-economic and environmental development under climate stabilization. Technological Forecasting and Social Change, 74(7), 887–935.CrossRefGoogle Scholar
  20. 20.
    Riahi, K., et al., RCP 8.5—A scenario of comparatively high greenhouse gas emissions Climatic Change, 2011.Google Scholar
  21. 21.
    Riahi, K., et al. (2011). Chapter 17: energy pathways for sustainable development, in global energy assessment: toward a sustainable future. Laxenburg, Austria and Cambridge University Press: IIASA.Google Scholar
  22. 22.
    Lamarque, J. F., et al. (2010). Historical (1850–2000) gridded anthropogenic and biomass burning emissions of reactive gases and aerosols: methodology and application. Atmospheric Chemistry and Physics Discussions, 10(2), 4963–5019.Google Scholar
  23. 23.
    Granier, C., et al. (2010). Evolution of anthropogenic and biomass burning emissions of air pollutants at global and regional scales during the 1980-2010 period. Climatic Change, 109(1–2), 163–190.Google Scholar
  24. 24.
    Krol, M., et al. (2005). The two-way nested global chemistry transport zoom model TM5: algorithm and application. Atmospheric Chemistry and Physics, 5, 417–432.CrossRefGoogle Scholar
  25. 25.
    Van Aardenne, J., et al. (2009). Global climate policy scenarios: the benefits and trade-offs for air pollution. IOP Conference Series: Earth and Environmental Science, 6(28), 282001.CrossRefGoogle Scholar
  26. 26.
    Bergamaschi, P. (2007). Satellite chartography of atmospheric methane from SCIAMACHY on board ENVISAT: 2. Evaluation based on inverse model simulations Journal of Geophysical Research Atmospheres, 112(D02304).Google Scholar
  27. 27.
    Dentener, F., et al. (2006). Nitrogen and sulphur deposition on regional and global scales: a multi-model evaluation. Global Biogeochemical Cycles, GB4003, 21.Google Scholar
  28. 28.
    Fiore, A. M., et al. (2009). Multimodel estimates of intercontinental source-receptor relationships for ozone pollution. Journal of Geophysical Research, 114(D4), D04301.CrossRefGoogle Scholar
  29. 29.
    Dentener, F., et al. (2005). The impact of air pollutant and methane emission controls on tropospheric ozone and radiative forcing: CTM calculations for the period 1990–2030. Atmospheric Chemistry and Physics, 5(7), 1731–1755.CrossRefGoogle Scholar
  30. 30.
    NSSO, Unit-level Data from the Household Consumer Expenditure Survey Round 61. (2007). National sample survey organization. Government of India: Ministry of Statistics.Google Scholar
  31. 31.
    SUSENAS, National socio-economic survey. in Indonesian: Badan Busat Statistik, Survei Sosial Ekonomi Nasional (SUSENAS). 2004, Statistics Indonesia, Government of Indonesia.Google Scholar
  32. 32.
    GLSS5, Ghana living standards survey: report of the fifth round 2008, Ghana Statistical Service, Government of Ghana.Google Scholar
  33. 33.
    IEA/UNDP/UNIDO (2010) Energypoverty—how to make modern energy access universal? Special early excerpt of the World Energy Outlook 2010 for the UN General Assembly on the Millennium Development Goals. Google Scholar
  34. 34.
    WHO, World Health Report 2002: reducing risks, promoting healthy life. 2002, World Health Organization: Geneva, Switzerland.Google Scholar
  35. 35.
    UN, World Population Prospects: The 2008 Revision. 2009, United Nations, Department of Economic and Social Affairs, Population Division, New YorkGoogle Scholar
  36. 36.
    Jerrett, M., et al. (2009). Long-term ozone exposure and mortality. The New England Journal of Medicine, 360(11), 1085–1095.CrossRefGoogle Scholar
  37. 37.
    Pope, C. A., et al. (2002). Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution. JAMA: The Journal of the American Medical Association, 287(9), 1132–1141.CrossRefGoogle Scholar
  38. 38.
    Cohen, A.J., et al., Urban Air pollution, in comparative quantification of health risks: Global and regional burden of disease attributable to selected major risk factors Geneva, M. Ezzati, A.D. Lopez, and C.J.L. Murray, Editors. 2004, World Health Organization. p. 1353-1433. Google Scholar
  39. 39.
    Krewski, D., et al., Extended Follow-Up and Spatial Analysis of the American Cancer Society Study Linking Particulate Air Pollution and Mortali. 2009, Health Effects Institute.Google Scholar
  40. 40.
    Smith, K. R., & Peel, J. (2010). Mind the gap. Environmental Health Perspectives, 118(12), 1643–1645.CrossRefGoogle Scholar
  41. 41.
    Desai, M., S. Mehta, and K. Smith, Indoor smoke from solid fuels: Assessing the environmental burden of disease at national and local levels, in Environmental burden of disease series 2004, World Health Organization.Google Scholar
  42. 42.
    Wilkinson, P., et al. (2009). Public health benefits of strategies to reduce greenhouse-gas emissions: household energy. The Lancet, 374(9705), 1917–1929.CrossRefGoogle Scholar
  43. 43.
    Ostro, B. (2006). The Effects of Components of Fine Particulate Air Pollution on Mortality in California: Results from CALFINE. Environmental Health Perspectives, 115(1).Google Scholar
  44. 44.
    Ostro, B. (2009). Long-term exposure to constituents of fine particulate air pollution and mortality: results from the California Teachers Study. Environmental Health Perspectives, 118(3).Google Scholar
  45. 45.
    WHO. (2008). The global burden of disease: 2004 Update. Geneva: World Health Organization.Google Scholar
  46. 46.
    de Leeuw, F. and J. Horálek, Assessment of the health impacts of exposure to PM2.5 at a European level, in ETC/ACC Technical Paper 2009.Google Scholar
  47. 47.
    Liu, Y. (2005). Estimating ground-level PM2.5 in the eastern United States using satellite remote sensing. Environmental Science and Technology, 39(9), 3269–3278.CrossRefGoogle Scholar
  48. 48.
    WHO. (2006). WHO Air quality guidelines for particulate matter, ozone, nitrogen dioxide and sulfur dioxide; global update 2005; summary of risk assessment. Geneva: World Health Organization.Google Scholar
  49. 49.
    GBD, Global burden of diseases, injuries, and risk factors study, 2010 Study.Google Scholar
  50. 50.
    Smith, K. R., Mehta, S., & Maeusezahl-Feuz, M. (2004). Indoor air pollution from household use of solid fuels, in comparative quantification of health risks. In M. Ezzati (Ed.), Global and regional burden of disease attributable to selected major risk factors. Geneva: World Health Organization.Google Scholar
  51. 51.
    Van Dingenen, R., et al. (2004). A European aerosol phenomenology—1: physical characteristics of particulate matter at kerbside, urban, rural and background sites in Europe. Atmospheric Environment, 38, 2561–2577.CrossRefGoogle Scholar
  52. 52.
    Putaud, J.-P., et al. (2004). A European aerosol phenomenology—2: chemical characteristics of particulate matter at kerbside, urban, rural and background sites in Europe. Atmospheric Environment, 38, 2579–2595.CrossRefGoogle Scholar
  53. 53.
    Murray, C., et al. (2003). Comparative quantification of health risks: conceptual framework and methodological issues. Population Health Metrics, 1(1), 1.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Shilpa Rao
    • 1
    Email author
  • Vadim Chirkov
    • 1
  • Frank Dentener
    • 2
  • Rita Van Dingenen
    • 2
  • Shonali Pachauri
    • 1
  • Pallav Purohit
    • 1
  • Markus Amann
    • 1
  • Chris Heyes
    • 1
  • Patrick Kinney
    • 3
  • Peter Kolp
    • 1
  • Zbigniew Klimont
    • 1
  • Keywan Riahi
    • 1
  • Wolfgang Schoepp
    • 1
  1. 1.International Institute for Applied Systems AnalysisLaxenburgAustria
  2. 2.European Commission; Joint Research CentreInstitute for Environment and SustainabilityIspraItaly
  3. 3.Environmental Health Sciences, Mailman School of Public Health, and The Earth InstituteColumbia UniversityNew YorkUSA

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