4.7 Article

Source contributions and potential reductions to health effects of particulate matter in India

Journal

ATMOSPHERIC CHEMISTRY AND PHYSICS
Volume 18, Issue 20, Pages 15219-15229

Publisher

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/acp-18-15219-2018

Keywords

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Funding

  1. Competitiveness Subprogram (RCS) from Louisiana Board of Regents [LEQSF(2016-19)-RD-A-14]
  2. European Climate Foundation [G-1606-00917]
  3. National Natural Science Foundation of China [41675125]
  4. Natural Science Foundation of Jiangsu Province [BK20150904]
  5. Jiangsu Six Major Talent Peak Project [2015-JNHB-010]

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Health effects of exposure to fine particulate matter (PM2.5) in India were estimated in this study based on a source-oriented version of the Community Multiscale Air Quality (CMAQ) model. Contributions of different sources to premature mortality and years of life lost (YLL) were quantified in 2015. Premature mortality due to cerebrovascular disease (CEVD) was the highest in India (0.44 million), followed by ischaemic heart disease (IHD, 0.40 million), chronic obstructive pulmonary disease (COPD, 0.18 million), and lung cancer (LC, 0.01 million), with a total of 1.04 million deaths. The states with highest premature mortality were Uttar Pradesh (0.23 million), Bihar (0.12 million), and West Bengal (0.10 million). The highest total YLL was 2 years in Delhi, and the Indo-Gangetic plains and eastern India had higher YLL (similar to 1 years) than other regions. The residential sector was the largest contributor to PM2.5 concentrations (similar to 40 mu gm(3)), total premature mortality (0.58 million), and YLL (similar to 0 : 2 years). Other important sources included industry (similar to 20 mu gm(3)), agriculture (similar to 10 mu gm 3), and energy (similar to 5 mu gm(3)) with their national averaged contributions of 0.21, 0.12, and 0.07 million to premature mortality, and 0.12, 0.1, and 0.05 years to YLL. Reducing PM2.5 concentrations would lead to a significant reduction of premature mortality and YLL. For example, premature mortality in Uttar Pradesh including Delhi) due to PM2.5 exposures would be reduced by 79% and YLL would be reduced by 83% when reducing PM2.5 concentrations to 10 mu gm(-3).

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