Premature mortality in India due to PM<sub>2.5</sub> and ozone exposure

Geophysical Research Letters - Tập 43 Số 9 - Trang 4650-4658 - 2016
Sachin D. Ghude1, D. M. Chate1, Chinmay Jena1, Gufran Beig1, Rajesh Kumar2, M. C. Barth2, Gabriele Pfister2, Suvarna Fadnavis1, Prakash Pithani1
1Indian Institute of Tropical Meteorology, Pune, India
2Atmospheric Chemistry Observations and Modeling Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USA

Tóm tắt

AbstractThis bottom‐up modeling study, supported by new population census 2011 data, simulates ozone (O3) and fine particulate matter (PM2.5) exposure on local to regional scales. It quantifies, present‐day premature mortalities associated with the exposure to near‐surface PM2.5 and O3 concentrations in India using a regional chemistry model. We estimate that PM2.5 exposure leads to about 570,000 (CI95: 320,000–730,000) premature mortalities in 2011. On a national scale, our estimate of mortality by chronic obstructive pulmonary disease (COPD) due to O3 exposure is about 12,000 people. The Indo‐Gangetic region accounts for a large part (~42%) of the estimated mortalities. The associated lost life expectancy is calculated as 3.4 ± 1.1 years for all of India with highest values found for Delhi (6.3 ± 2.2 years). The economic cost of estimated premature mortalities associated with PM2.5 and O3 exposure is about 640 (350–800) billion USD in 2011, which is a factor of 10 higher than total expenditure on health by public and private expenditure.

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Tài liệu tham khảo

10.1021/acs.est.5b01236

10.1080/02786826.2010.504245

10.1021/es2025752

10.1289/ehp.1307049

Central Pollution Control Board (CPCB)(2014) National ambient air quality status and trends‐2012. [Available athttp://www.cpcb.nic.in/divisionsofheadoffice accessed on 15 May 2015.]

10.1088/1748-9326/9/10/104009

10.3109/08958378.2013.788103

10.1007/s11270-015-2316-7

Cohen A. J., 2004, Comparative Quantification of Health Risks, Global and Regional Burden of Disease Attributable to Selected Major Risk Factors, 1353

10.1007/s10584-013-0847-8

10.1029/2012JD017811

10.1002/2014GL060930

Global Burden of Diseases (GBD)(2010) WHO: Health statistics and information systems. [Available athttp://www.who.int/healthinfo/global_burden_disease/estimates/en/index1.html accessed on 17 July 2015].

10.1017/CBO9780511843938.012

10.1016/j.envdev.2012.12.002

10.1029/2005JD006937

India Office of the Registrar General and Census Commissioner(2011) Census of India Minist. of Home Affairs Gov. of India New Delhi.

10.1016/j.atmosenv.2014.10.027

10.1016/j.atmosenv.2015.06.057

10.5194/gmd-5-619-2012

10.5194/acp-13-11019-2013

10.5194/acp-13-7023-2013

10.1038/nature15371

10.1016/S0140-6736(12)61766-8

Lim S. S., 2013, Correction “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, 381, 628

10.1002/2014GL059651

10.5094/APR.2014.043

OECD(2013) Health at a Glance 2013: OECD Indicators OECD doi:10.1787/health_glance-2013-en.

10.1787/9789264210448-en

Ostro B., 2004, Outdoor Air Pollution: Assessing the Environmental Burden of Disease at National and Local Levels

10.1056/NEJMsa0805646

10.1088/1748-9326/8/3/034005

10.1289/ehp.0901623

World Health Organization (WHO)(2012) World Health Organization Statistical Information System (WHOSIS) Detailed Data Files of the WHO Mortality Database WHO Geneva Switzerland. [Available athttp://www.who.int/healthinfo/statistics/mortality_rawdata/en/.]

World Health Organization (WHO)(2014) Methods and data sources for country‐level causes of death 2000–2012 World Health Organ. Geneva Switzerland.