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AI Can Predict Delhi's Smog: Author
7 Nov
Summary
- Annual Delhi smog is a planning failure, not a disaster.
- Air pollution caused 1.67 million Indian deaths in 2019.
- AI can forecast air quality street by street for targeted action.
Delhi's annual struggle with severe air pollution each November is characterized as a predictable planning failure. Despite known patterns, the city experiences a yearly cycle of smog, online schooling, and stalled construction, highlighting a failure to forecast and prevent the crisis effectively.
Air pollution significantly impacts India, causing an estimated 1.67 million deaths in 2019 and a substantial economic loss. Advanced AI, integrating data from numerous sensors, weather patterns, and traffic, could predict air quality ward by ward up to three days in advance.
This predictive capability would allow for precise enforcement, targeting specific pollution sources like uncovered construction sites or industrial emissions. AI can also aid in managing stubble burning by predicting harvest times and directing resources like crop-residue machines and straw buyers to affected farmlands.
Implementing AI-driven solutions, similar to those in Beijing and London, could lead to significant reductions in pollution. These strategies emphasize joint action across regions and citizen-focused warnings for vulnerable populations, such as children with asthma.
