Indore: The research team of the Indian Insititute of Technology (IIT), Indore has revealed the transformative potential of Artificial Intelligence (AI) and Machine Learning (ML) in handling the severe air pollution crisis. The study, conducted by the Department of Civil Engineering emphasizes the need for integrating the use of advanced technology, stringent policy measures, and active citizen participation to address the country’s air quality challenges.
The research identified that regions such as the Indo-Gangetic Plains, and parts of Western and Northeast India are more vulnerable to high levels of particulate matter (PM) 2.5 pollutants due to local sources of pollution. According to the researchers, the AI and ML models can predict PM2.5 concentrations with high precision. This demonstrates the potential of these technologies to enhance air quality forecasts and promote future research in pollution management. Going a step further, the study aims to explore customized regional pollution control strategies to address the transboundary nature of air pollution. It also suggests the integration of AI and ML with weather prediction models to develop features such as real-time pollution monitoring and data-driven decision-making.
The research team has also advocated for synergy between technology, innovation, and global cooperation to manage air pollution efficiently. This can ensure a cleaner and more sustainable environment in the country.
