India has some of the worst air quality levels in the world, contributing to more than 1.5 million premature deaths in 2019 due to both indoor and outdoor air pollution. To improve air quality management, it is essential to analyze sectoral contributions at a fine spatial scale, enabling policymakers to target the largest contributors and better understand broad patterns of air quality changes. This necessitates a detailed analysis of activities and emissions at high-resolution levels, both temporally and spatially, focusing on fine scales such as wards or precincts within local administrative units (cities/urban local bodies and rural villages).
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The goal of this study is to create a detailed household cooking emissions inventory for the Indian states of Bihar and Uttar Pradesh, covering both rural and urban regions, by drawing upon our prior research that integrates data from the Census, household consumption surveys, and time-use surveys (Nagpure et al., 2022; Nagpure and Lal, 2022; Nagpure et al., 2018). This inventory includes data from 151,705 villages, 1,114 towns, and 15,159 wards/precincts, with information collected from various sources for a 12-month period, seven days a week, and 24 hours a day, using publicly available open-source data. To ensure accuracy, the results will be validated with aggregated fuels use data at the district levels and hyper-local air quality data from collaborative research group over 1,500 locations across both states.
Preliminary analysis for the year 2023 shows that household cooking fuel use in Uttar Pradesh and Bihar contributed approximately 1,300 gigagrams of PM2.5 emissions, with rural areas responsible for 95\% of these emissions. Monthly data reveal that emissions were highest in April and lowest in November. Daily emission patterns indicate peak PM2.5 levels occurring between 5 AM and 10 AM, and again from 4 PM to 9 PM.
}, year = {2025}, journal = {AGU24}, }