Image Source: Political Science Solutions
The Delhi government is preparing a year round, AI-driven strategy to tackle air pollution by collaborating with IIT Kanpur. The initiative will use hyper local monitoring, satellite data, and advanced decision support systems to identify pollution sources precisely, enabling targeted interventions and coordinated enforcement across agencies for measurable improvements in air quality.
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Delhi’s fight against air pollution is set for a major technological upgrade. The government has announced plans to collaborate with IIT Kanpur to develop an Artificial Intelligence enabled decision support system. This marks a shift from seasonal campaigns to a comprehensive, 365-day clean air strategy backed by science and technology.
Key Highlights:
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Strategic Collaboration: Partnership with IIT Kanpur to design AI-based pollution control systems.
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Hyper local Monitoring: Deployment of low cost sensors alongside existing air quality stations for granular data.
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Data Integration: Use of satellite imagery and dynamic source apportionment to pinpoint pollution sources.
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Pilot Project: Initial rollout in select wards to test sensor accuracy and AI models.
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Coordinated Governance: Shared data platform to enable collaboration among civic bodies, enforcement agencies, and technical institutions.
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Focus Areas: Targeting vehicular emissions, dust control, industrial pollutants, and waste burning.
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Long-term Vision: A 365-day action plan to ensure sustained improvements in Delhi’s air quality.
Sources: India Today, Times of India, Free Press Journal
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