How will IIT-Kanpur help Delhi combat air pollution?

IIT-Kanpur will collaborate with the Delhi government to develop an AI-enabled decision support system for advanced air quality intelligence and pollution mitigation.

What is hyper-local source apportionment?

It's a method to precisely identify the specific origins of air pollution within small, localized areas, aiding targeted control measures.

What is Delhi's year-round strategy for air pollution?

The strategy involves science-backed interventions, advanced technology like AI, coordinated governance, and actions across vehicular emissions, dust, industries, and waste management.

Home / Environment / Delhi Partners IIT-Kanpur for AI Pollution Fight

Delhi Partners IIT-Kanpur for AI Pollution Fight

29 Dec

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Summary

Delhi government eyes IIT-Kanpur collaboration for AI-driven pollution analysis.
New system aims for hyper-local source apportionment of air pollutants.
Year-round strategy combines science, technology, and coordinated governance.

Delhi Partners IIT-Kanpur for AI Pollution Fight

The Delhi government is set to collaborate with IIT-Kanpur to implement an Artificial Intelligence-enabled decision support system, aimed at enhancing pollution control measures. This forward-thinking partnership will leverage AI for advanced air quality intelligence, enabling more precise and data-driven pollution mitigation strategies.

The collaboration focuses on utilizing sensor-based monitoring to generate localized, granular data on air pollution. A key objective is to achieve hyper-local source apportionment, allowing authorities to pinpoint pollution origins with greater accuracy. This initiative forms part of a comprehensive, year-round strategy designed to combat air pollution through scientific interventions and coordinated governance.

The plan includes a pilot project on select wards to assess data generation capabilities of low-cost sensors. This approach also emphasizes multi-agency coordination, ensuring a shared data platform for municipal bodies, enforcement agencies, and technical institutions with defined roles and accountability.