Air Quality Commission to set up AI-based system to improve Delhi’s air quality

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Delhi Pollution

The Commission for Air Quality Management (CAQM) in Delhi-NCR and adjoining areas has roped in India’s top technical institutions to set up a decision support system, which will use Artificial Intelligence to help improve the air quality over targeted sectors of the city.

The Commission for Air Quality Management has begun the process of setting up a Decision Support System (DSS) having a web, Geographical Information System and multi-modal based operational and planning decision support tool.

This tool will help in capturing the static and dynamic features of the emissions from various sources. It will have an integrated framework to handle both primary and secondary pollutants using chemical transport model.

The system will also be able to handle the “source specific interventions” with the framework to estimate benefits of interventions and will focus on presenting the best results in a comprehensive user friendly and simple format for different users.

The Commission has entrusted the task to IMD Delhi, IITM Pune, IIT Delhi, National Environmental Engineering Research Institute (NEERI), The Energy and Resources Institute (TERI) and Centre for Development of Advanced Computing for framework development of Air Quality Management Decision Support System for Delhi.

The Air Quality Management Decision Support Tool (DST) integrates an emissions inventory development application and database; regional, local and source-receptor modelling; and Geographical Information System (GIS) based visualization tools in a software framework so as to build a robust system to formulate and implement source specific interventions to improve the air quality.

The sources covered will include industries, transport, power plants, residential, DG sets, road dust, agricultural burning, refuse burning, construction dust, ammonia, volatile organic compounds, landfill etc.

For instance, municipalities, industrial associations, industrial development authorities etc. would be the stake holders for identifying interventions related to waste burning, industrial source pollution, respectively.

Upon identification of feasible interventions, the artificial intelligence based expert system which has a hierarchical data base of simulated scenarios, potentially assessing the impact of the identified feasible intervention which would be implemented by the regulatory organization such as CPCB and state PCBs.

The on-field implementation is monitored by credible citizen watch groups and professional NGOs independently. Finally, air quality data collected in the vicinity of the area where intervention is implemented will be analyzed to understand the real-world benefits of such intervention.

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Arushi Sana is the Founder of Santerra Living and Co-Founder of NYK Daily. She was awarded the Times Power Women of the Year 2022 and Times Digital Entrepreneur of the Year 2023. Arushi is also a Sustainability Consultant for organisations looking to reduce their carbon footprint and also works with brands on social media to help them carve a presence in that niche. She holds a Degree in Computer Science Engineering from VIT University and a Diploma in Marketing Analytics from IIM Nagpur. Her interest in Sustainable Living and Interior Design led her to start a Sustainable e-Marketplace where customers can buy eco-furniture and eco-friendly products for everyday use. Arushi is a writer, political researcher, a social worker, a farmer and a singer with an interest in languages. Travel and nature are the biggest spiritual getaways for her, and she aims to develop a global community of knowledge and journalism par excellence through this News Platform.

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