Air Quality Monitoring
Led by: UPCAMPA Program
in collaboration with World Bank, IIASA, IIT Kanpur, IIT Delhi
Establishing a comprehensive Decision Support System integrating supersite monitoring stations, AI-enabled tracking, satellite data, and the GAINS-IGP atmospheric model to guide evidence-based air quality management decisions.
Air Quality Monitoring
Effective air quality management requires robust monitoring, real-time data, and predictive analytics. UPCAMPA establishes a comprehensive Decision Support System that integrates supersite monitoring stations, AI-enabled tracking, satellite data, and the GAINS-IGP atmospheric model to guide evidence-based policy decisions.
The monitoring infrastructure provides the data backbone for all UPCAMPA interventions, enabling targeted action, impact evaluation, and adaptive management across the entire airshed.
Integrated Decision Support System
The DSS combines multiple data streams — ground monitoring, satellite observations, meteorological data, and emission inventories — into a unified platform that supports real-time air quality management decisions across Uttar Pradesh.
Powered by the GAINS-IGP atmospheric model developed with IIASA, IIT Kanpur, and IIT Delhi, the system can simulate emission scenarios, forecast air quality events, and evaluate the impact of different policy interventions before they are implemented.
Supersite Monitoring Network
UPCAMPA deploys advanced air quality supersites across UP that measure PM2.5, PM10, NOx, SO2, ozone, and other pollutants with high temporal resolution. These stations provide the ground-truth data essential for model calibration and policy evaluation.
Each supersite includes source apportionment capabilities — identifying not just how much pollution exists, but where it comes from — enabling targeted interventions that address the actual sources of poor air quality in each region.
AI-Enabled Tracking & Satellite Integration
Machine learning models analyze patterns in air quality data to predict pollution episodes 48-72 hours in advance, enabling proactive response measures such as traffic restrictions, industrial controls, and public health advisories.
Satellite data from NASA, ESA, and ISRO provides spatial coverage between ground stations, enabling airshed-level monitoring of transboundary pollution — critical given that 43% of UP's PM2.5 originates from outside the state.
Partners & Collaborators
