IIT-Kanpur’s mobile labs and AI crack Delhi’s pollution code

In a breakthrough effort to tackle Delhi’s notorious air pollution, researchers from IIT-Kanpur have deployed state-of-the-art mobile laboratories equipped with cutting-edge sensors and artificial intelligence (AI) to pinpoint the exact sources and dynamics of toxic air across the capital’s vastly different neighborhoods.

Between May and June 2025, a specially designed research van, described as a “lab on wheels,” roamed two contrasting zones — the traffic-choked, pollution hotspot Anand Vihar, and the quieter suburban Dwarka.

The van’s arsenal included advanced aerosol mass spectrometers, metal monitors, gas analyzers, and meteorological instruments capable of decoding the chemical fingerprints of Delhi’s smog in near real-time.

The data revealed stark contrasts: Anand Vihar’s hazardous air contained heavy loads of road dust, vehicle emissions, and sulphur-rich particles drifting in from distant regions, while Dwarka’s pollution was dominated by secondary organic aerosols formed in the atmosphere itself. Such granular insights dismantle the myth of a single Delhi pollution problem, exposing a mosaic of localized sources that fluctuate by time and place.

Under the leadership of Sachchida Nand Tripathi, IIT-Kanpur’s sustainability dean and AI Centre director, the team integrated this rich chemical data with low-cost sensor readings through sophisticated machine learning models.

This AI-driven approach translates expensive, complex measurements into scalable, neighborhood-level pollution source maps — a gamechanger in urban air quality management.

“Our work answers when, where, and why pollution spikes happen in Delhi-NCR — and crucially, how to intervene effectively,” Tripathi said. The project builds on earlier multi-institutional research but breaks new ground in speed, scale, and AI application.

With only one such mobile lab in India — a ₹22 crore investment funded by philanthropic sources — this innovative hybrid model promises hyperlocal, actionable intelligence that could finally guide targeted policies and enforcement to clean Delhi’s air, not with broad strokes, but with surgical precision.