A203-06
Informing decision-making to mitigate the air quality and health impacts of agricultural residue burning in India using an adjoint modeling approach
Abstract:
This work aims to advance the decision-making on mitigation alternatives by providing a better understanding of how air quality impacts respond to spatiotemporal changes with an adjoint modeling approach. The resulting map of air quality sensitivities combined with mortality risk and statistical valuation models are further applied to quantify the contribution of burning events at specific locations and times to population exposure and health impacts in order to better assess the benefits of changes, including shifting times, diversifying crops, or mechanizing residue management to eliminate the practice of burning.
The end results reveal a trio of insights into future efforts to mitigate the adverse impacts of agricultural residue burning in India. First, of the mortality burden attributable to fine particle exposure from agricultural burning over 2005-2016, three states in northern India consistently contribute to the majority, with significant impacts occurring in densely-populated areas. Second, a small number of administrative regions within these states may be prioritized to maximize the nation-wide air quality and health benefits. Third, small and incentivized interventions such as burning at a different time and promoting different crop varieties in targeted districts might be cost-effective from the perspective of farmers. These results offer a practical way to identify effective and potentially low-cost alternatives to reduce the contribution of agricultural residue burning to India’s existing air pollution challenge.