Systematic exposure bias in city-level air quality reporting revealed by 38 years of Indian observations
Garima Sharma1,2, Pareshbhai Dineshbhai Parmar1, Arvind Kumar Nema1
1Department of Civil and Environmental Engineering, IIT Delhi, New Delhi, India.
Abstract:
Accurately representing urban air quality remains a central challenge in managing global exposure and communicating environmental risk. In rapidly urbanising regions such as India, Air Quality Index (AQI) reporting often masks intra-city variability, limiting both scientific interpretation and public relevance. Here we analyse a 38-year air-quality record (1987-2024) from 64 consistently monitored Indian cities to quantify long-term deterioration, identify shifts in dominant pollutants, and assess the representativeness of existing AQI computation. The share of Poor-Severe days has risen from 15% to over 35%, with degradation spreading from the Indo-Gangetic Plain to southern and coastal regions. Particulate matter remains dominant in over 85% of observations, while sulphur dioxide influence has declined by 95% and nitrogen dioxide has doubled. A consultation with 450 stakeholders across 23 States revealed strong support for exposure-based reporting. We show that conventional averaging can misrepresent exposure by up to ten percentage points and introduce an exposure-weighted framework that corrects this distortion, improving the fidelity, transparency, and global transferability of city-scale air-quality assessment.
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