Residential energy use emissions dominate health impacts from exposure to ambient particulate matter in India

Nature Communications

Volumn 9, Issue 1, 2018, Pages

  Conibear, Luke ^a   Butt, Edward W ^a   Knote, Christoph ^b   Arnold, Stephen R ^a   Spracklen, Dominick V ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

^b UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AMBIENT AIR; CONCENTRATION (COMPOSITION); EMISSION; ENERGY USE; HEALTH IMPACT; MORTALITY; PARTICULATE MATTER; POLLUTANT SOURCE; POLLUTION EXPOSURE; RESIDENTIAL ENERGY;

AIR POLLUTION; AMBIENT AIR; ARTICLE; AUTUMN; CONCENTRATION (PARAMETERS); DISEASE BURDEN; ELECTRIC POWER PLANT; ENVIRONMENTAL EXPOSURE; HEALTH; HUMAN; INDIA; PARTICULATE MATTER; POPULATION DENSITY; PREMATURE MORTALITY; STATISTICAL MODEL; SUMMER; WINTER; AIR POLLUTANT; ANALYSIS; ENVIRONMENTAL MONITORING; HOUSING;

INDIA;

GASOLINE;

AIR POLLUTANTS; AIR POLLUTION; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL MONITORING; GASOLINE; HOUSING; HUMANS; INDIA; PARTICULATE MATTER;

EID: 85042024669     PISSN: None     EISSN: 20411723     Source Type: Journal    
DOI: 10.1038/s41467-018-02986-7     Document Type: Article

References (70)

1. Government of India. Continuous Ambient Air Quality Monitoring (CAAQM). Central Pollution Control Board (CPCB), Ministry of Environment and Forests (2016). Available at: http://www. cpcb. gov. in/ CAAQM/. (Accessed: 1st July 2016).
2. Center for International Earth Science Information Network (CIESIN) & NASA Socioeconomic Data and Applications Center (SEDAC). Gridded Population of the World, Version 4 (GPWv4): Population Density. https://doi. org/10. 7927/H4NP22DQ (Columbia University, 2016).
3. GBD 2015 Risk Factors Collaborators. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 388, 1659-1724 (2016).
4. Cohen, A. J. et al. Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global burden of Diseases Study 2015. Lancet 389, 1907-1918 (2017).
5. GBD 2016 Risk Factors Collaborators. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 390, 1345-1422 (2017).
6. Silva, R. A. et al. Global premature mortality due to anthropogenic outdoor air pollution and the contribution of past climate change. Environ. Res. Lett. 8, 1-11 (2013).
7. Chowdhury, S. & Dey, S. Cause-specific premature death from ambient PM2. 5 exposure in India: Estimate adjusted for baseline mortality. Environ. Int. 91, 283-290 (2016).
8. Cohen, A. J. et al. The global burden of disease due to outdoor air pollution. J. Toxicol. Environ. Health 68, 1301-1307 (2005).
9. Apte, J. S., Marshall, J. D., Cohen, A. J. & Brauer, M. Addressing global mortality from ambient PM2. 5. Environ. Sci. Technol. 49, 8057-8066 (2015).
10. Ghude, S. D. et al. Premature mortality in India due to PM2. 5 and ozone exposure. Geophys. Res. Lett. 43, 4650-4658 (2016).
11. Giannadaki, D. et al. Implementing the US air quality standard for PM2. 5 worldwide can prevent millions of premature deaths per year. Environ. Health 15, 88 (2016).
12. GBD 2013 Risk Factors Collaborators. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 386, 2287-2323 (2015).
13. Lelieveld, J., Evans, J. S., Fnais, M., Giannadaki, D. & Pozzer, A. The contribution of outdoor air pollution sources to premature mortality on a global scale. Nature 525, 367-371 (2015).
14. GBD 2010 Risk Factors Collaborators. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380, 2224-2260 (2012).
15. Silva, R. A., Adelman, Z., Fry, M. M. & West, J. J. The impact of individual anthropogenic emissions sectors on the global burden of human mortality due to ambient air pollution. Environ. Health Perspect. 124, 1776-1784 (2016).
16. WHO. Ambient Air Pollution: A Global Assessment Of Exposure And Burden Of Disease, Vol. 121 (WHO, Geneva, 2016).
17. Lelieveld, J. Clean air in the Anthropocene. Faraday Discuss. 200, 693-703 (2017).
18. Punger, E. M. & West, J. J. The effect of grid resolution on estimates of the burden of ozone and fine particulate matter on premature mortality in the United States. Air Qual. Atmos. Health 6, https://doi. org/10. 1007/s11869-013-0197-8 (2013).
19. Janssens-Maenhout, G. et al. HTAP-v2. 2: A mosaic of regional and global emission grid maps for 2008 and 2010 to study hemispheric transport of air pollution. Atmos. Chem. Phys. 15, 11411-11432 (2015).
20. Chafe, Z. A. et al. Household cooking with solid fuels contributes to ambient PM2. 5 air pollution and the burden of disease. Environ. Health Perspect. 122, 1314-1320 (2014).
21. Silva, R. A., Adelman, Z., Fry, M. M. & West, J. J. Supplemental Material. The impact of individual anthropogenic emissions sectors on the global burden of human mortality due to ambient air pollution. Environ. Health Perspect. 124, https://doi. org/10. 1289/EHP177 (2016).
22. Butt, E. W. et al. The impact of emissions from residential combustion on atmospheric aerosol, human health and climate. Atmos. Chem. Phys. 16, 873-905 (2016).
23. Kodros, J. K. et al. Global burden of mortalities due to chronic exposure to ambient PM2. 5 from open combustion of domestic waste. Environ. Res. Lett. 11, 124022 (2016).
24. Chambliss, S. E., Silva, R., West, J. J., Zeinali, M. & Minjares, R. Estimating source-attributable health impacts of ambient fine particulate matter exposure: global premature mortality from surface transportation emissions in 2005. Environ. Res. Lett. 9, 104009 (2014).
25. GBD MAPS Working Group. Burden of Disease Attributable to Coal-Burning and Other Air Pollution Sources in China. Special Report 20 (Boston, MA: Health Effects Institute, 2016).
26. Archer-Nicholls, S. et al. The regional impacts of cooking and heating emissions on air quality and disease burden in China. Environ. Sci. Technol. 50, 9416-9423 (2016).
27. Pope, C. A. III, Cropper, M., Coggins, J. & Cohen, A. Health benefits of air pollution abatement policy: role of the shape of the concentrationresponse function. J. Air Waste Manag. Assoc. 65, 516-522 (2015).
28. Kumar, R., Barth, M. C., Pfister, G. G., Naja, M. & Brasseur, G. P. WRF-Chem simulations of a typical pre-monsoon dust storm in northern India: influences on aerosol optical properties and radiation budget. Atmos. Chem. Phys. 14, 2431-2446 (2014).
29. Burnett, R. T. et al. An integrated risk function for estimating the global burden of disease attributable to ambient fine particulate matter exposure. Environ. Health Perspect. 122, 397-403 (2014).
30. Silva, R. A. et al. The effect of future ambient air pollution on human premature mortality to 2100 using output from the ACCMIP model ensemble. Atmos. Chem. Phys. 16, 9847-9862 (2016).
31. WHO. Burden Of Disease From Ambient Air Pollution For 2012-Results. (WHO, Geneva, 2014).
32. Brauer, M. et al. Ambient air pollution exposure estimation for the global burden of disease 2013. Environ. Sci. Technol. 50, 79-88 (2016).
33. Grell, G. A. et al. Fully coupled 'online' chemistry within the WRF model. Atmos. Environ. 39, 6957-6975 (2005).
34. Skamarock, W. C. et al. A Description of the Advanced Research WRF Version 3. NCAR Technical Note NCAR/TN-475+STR, https://doi. org/10. 5065/ D68S4MVH (2008).
35. Emmons, L. K. et al. Description and evaluation of the Model for Ozone and Related chemical Tracers, version 4 (MOZART-4). Geosci. Model Dev. Dicuss. 3, 43-67 (2010).
36. Knote, C. et al. Simulation of semi-explicit mechanisms of SOA formation from glyoxal in aerosol in a 3-D model. Atmos. Chem. Phys. 14, 6213-6239 (2014).
37. Hodzic, A. & Jimenez, J. L. Modeling anthropogenically controlled secondary organic aerosols in a megacity: a simplified framework for global and climate models. Geosci. Model Dev. 4, 901-917 (2011).
38. Tie, X. et al. Effect of clouds on photolysis and oxidants in the troposphere. J. Geophys. Res. 108, 1-11 (2003). 4642.
39. Hodzic, A. & Knote, C. WRF-Chem 3. 6. 1: MOZART gas-phase chemistry with MOSAIC aerosols (Atmospheric Chemistry Division (ACD), National Center for Atmospheric Research (NCAR), 2014).
40. Zaveri, R. A., Easter, R. C., Fast, J. D. & Peters, L. K. Model for Simulating Aerosol Interactions and Chemistry (MOSAIC). J. Geophys. Res. Atmos. 113, https://doi. org/10. 1029/2007JD008782 (2008).
41. Damian, V., Sandu, A., Damian, M., Potra, F. & Carmichael, G. R. The kinetic preprocessor KPP-a software environment for solving chemical kinetics. Comput. Chem. Eng. 26, 1567-1579 (2002).
42. Thompson, G., Rasmussen, R. M. & Manning, K. Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part II: implementation of a new snow parameterization. Am. Meteorol. Soc. 136, 5095-5115 (2008).
43. Grell, G. A. & Devenyi, D. A generalized approach to parameterizing convection combining ensemble and data assimilation techniques. Geophys. Res. Lett. 29, 10-13 (2002).
44. Iacono, M. J. et al. Radiative forcing by long-lived greenhouse gases: calculations with the AER radiative transfer models. J. Geophys. Res. Atmos. 113, https://doi. org/10. 1029/2008JD009944 (2008).
45. NCEP, National Weather Service, NOAA & U. S. Department of Commerce. NCEP Global Forecast System (GFS) Analyses and Forecasts. http://rda. ucar. edu/datasets/ds084. 6/ (Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory, 2007).
46. NCEP, National Weather Service, NOAA & U. S. Department of Commerce. NCEP Final (FNL) Operational Model Global Tropospheric Analyses, continuing from July 1999. https://doi. org/10. 5065/D6M043C6 (Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory, 2000).
47. NCAR. ACOM MOZART-4/GEOS-5 global model output. Available at: http://www. acom. ucar. edu/wrf-chem/mozart. shtml (UCAR, 2016).
48. Chin, M., Rood, R. B., Lin, S.-J., Müller, J.-F. & Thompson, A. M. Atmospheric sulfur cycle simulated in the global model GOCART: Model description and global properties. J. Geophys. Res. 105, 24671-24687 (2000).
49. Kumar, R. et al. Sources of black carbon aerosols in South Asia and surrounding regions during the Integrated Campaign for Aerosols, Gases and Radiation Budget (ICARB). Atmos. Chem. Phys. 15, 5415-5428 (2015).
50. Sarangi, C., Tripathi, S. N., Tripathi, S. & Barth, M. C. Aerosol-cloud associations over Gangetic Basin during a typical monsoon depression event using WRF-Chem simulation. J. Geophys. Res. Atmos. 120, 10, 974-10, 995 (2015).
51. Dee, D. P. et al. The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q. J. R. Meteorol. Soc. 137, 553-597 (2011).
52. Li, M. et al. MIX: a mosaic Asian anthropogenic emission inventory under the international collaboration framework of the MICS-Asia and HTAP. Atmos. Chem. Phys. 17, 935-963 (2017).
53. Lu, Z., Zhang, Q. & Streets, D. G. Sulfur dioxide and primary carbonaceous aerosol emissions in China and India, 1996-2010. Atmos. Chem. Phys. 11, 9839-9864 (2011).
54. Lu, Z. & Streets, D. G. Increase in NOx emissions from Indian thermal power plants during 1996?2010: unit-based inventories and multisatellite observations. Environ. Sci. Technol. 46, 7463-7470 (2012).
55. Kurokawa, J. et al. Emissions of air pollutants and greenhouse gases over Asian regions during 2000-2008: Regional Emission inventory in ASia (REAS) version 2. Atmos. Chem. Phys. 13, 11019-11058 (2013).
56. Wiedinmyer, C. et al. The Fire INventory from NCAR (FINN)-a high resolution global model to estimate the emissions from open burning. Geosci. Model Dev. Discuss. 3, 2439-2476 (2011).
57. Guenther, A. et al. Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature). Atmos. Chem. Phys. 6, 3181-3210 (2006).
58. Levy, R. C. et al. The Collection 6 MODIS aerosol products over land and ocean. Atmos. Meas. Tech. 6, 2989-3034 (2013).
59. IHME. Global Burden of Disease Study 2015 (GBD 2015) Population Estimates 1970-2015. Available at: http://ghdx. healthdata. org/record/globalburden-disease-study-2015-gbd-2015-population-estimates-1970-2015 (Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2016).
60. ICF International. Spatial Data Repository, The Demographic and Health Surveys Program. Available at: http://spatialdata. dhsprogram. com
61. Hijmans, R. et al. Global Administrative Areas: Boundaries Without Limits. Version 2. 8. Available at: http://gadm. org/ (2016).
62. Pope, C. A. III Mortality effects of longer term exposures to fine particulate air pollution: review of recent epidemiological evidence. Inhal. Toxicol. 19, 33-38 (2007).
63. Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Seattle, WA: IHME, University of Washington (2016). Available at: http://vizhub. healthdata. org/gbd-compare. (Accessed: 13th July 2016)
64. WHO. World Health Statistics, Vol. 174. Available at: http://www. who. int/ whosis/whostat/EN-WHS2011-Full. pdf (WHO, Geneva, 2011).
65. Devleesschauwer, B. et al. Calculating disability-adjusted life years to quantify burden of disease. Int. J. Public Health 59, 565-569 (2014).
66. IHME. Global Burden of Disease Study 2015 (GBD 2015) Reference Life Table. Available at: http://ghdx. healthdata. org/record/global-burden-diseasestudy-2015-gbd-2015-reference-life-table (Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2016).
67. Ministry of Statistics & Programme Implementation. Life Expectancy at Birth-2014. Available at http://data. gov. in (Ministry of Statistics & Programme Implementation, India, 2016).
68. Balakrishnan, K. et al. State and national household concentrations of PM2. 5 from solid cookfuel use: results from measurements and modeling in India for estimation of the global burden of disease. Environ. Health 12, 77 (2013).
69. Lelieveld, J., Barlas, C., Giannadaki, D. & Pozzer, A. Model calculated global, regional and megacity premature mortality due to air pollution. Atmos. Chem. Phys. 13, 7023-7037 (2013).
70. Saikawa, E. et al. Uncertainties in emissions estimates of greenhouse gases and air pollutants in India and their impacts on regional air quality. Environ. Res. Lett. 12, 065002 (2017).