Abstract
Exposure to ambient fine particulate matter (PM(2.5)) is a leading contributor to diseases in India. Previous studies analysing emission source attributions were restricted by coarse model resolution and limited PM(2.5) 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 PM(2.5) exposure in India. Observed annual mean PM(2.5) 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 PM(2.5) 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 PM(2.5) concentrations. Consequently, large reductions in emissions will be required to reduce the health burden from ambient PM(2.5) exposure in India.