000033774 001__ 33774
000033774 041__ $$aEnglish
000033774 100__ $$aConibear, L.
000033774 245__ $$aResidential Energy Use Emissions Dominate Health Impacts from Exposure to Ambient Particulate Matter in India
000033774 260__ $$c2018
000033774 300__ $$a617
000033774 520__ $$aExposure to ambient fine particulate matter (PM2.5) is a leading contributor to diseases in India. Previous studies analysing emission source attributions were restricted by coarse model resolution and limited PM2.5 observations. We use a regional model informed by new observations to make the first high-resolution study of the sector-specific disease burden from ambient PM2.5 exposure in India. Observed annual mean PM2.5 concentrations exceed 100 μg m−3 and are well simulated by the model. We calculate that the emissions from residential energy use dominate (52%) population-weighted annual mean PM2.5 concentrations, and are attributed to 511,000 (95UI: 340,000–697,000) premature mortalities annually. However, removing residential energy use emissions would avert only 256,000 (95UI: 162,000–340,000), due to the non-linear exposure–response relationship causing health effects to saturate at high PM2.5 concentrations. Consequently, large reductions in emissions will be required to reduce the health burden from ambient PM2.5 exposure in India.
000033774 700__ $$aButt, E. W.
000033774 700__ $$aKnote, C.
000033774 700__ $$aArnold, S. R.
000033774 700__ $$aSpracklen, D. V.
000033774 773__ $$pNature Communications
000033774 773__ $$v9 (1)
000033774 773__ $$a10.1038/s41467-018-02986-7
000033774 8564_ $$uhttps://doi.org/10.1038/s41467-018-02986-7$$yExternal link (open access)
000033774 980__ $$aARTICLE