New Delhi, Jun 25 (PTI) Delhi will soon get an artificial intelligence (AI)-powered Decision Support System (DSS) to predict air pollution, identify pollution hotspots and help authorities take timely
action, in collaboration with IIT Kanpur.
The AI-enabled DSS will be the main feature of a larger air quality management system that the Delhi government plans to develop over the next five years. Officials told PTI that it will use pollution data, weather information and AI to forecast air pollution 48 to 72 hours in advance, giving departments more time to prepare before pollution levels rise.
The system will also identify pollution hotspots across the city and help trace where emissions are coming from at the local level. It will generate advisories and provide scientific inputs to help departments decide what action to take before pollution becomes severe.
Officials said the aim is to help authorities act early instead of reacting after air quality has already worsened.
The DSS is part of a Memorandum of Understanding (MoU) signed between the Department of Environment and the AIRAWAT Research Foundation, a Section 8 non-profit organisation set up at the Indian Institute of Technology (IIT) Kanpur under the Government of India’s AI Centre of Excellence for Sustainable Cities.
The agreement will remain valid for five years and can be extended further if both sides agree. A major part of the collaboration will focus on expanding Delhi’s air quality monitoring network, an official document said.
Officials told PTI that the city plans to install more low-cost sensors across different parts of Delhi, use mobile monitoring laboratories and integrate satellite data to improve air quality monitoring. The expanded network is expected to provide a much clearer picture of pollution levels in different neighbourhoods than what is available now.
The monitoring system will also help authorities identify pollution hotspots, map airsheds, and understand how pollution moves within Delhi and from neighbouring states. Officials said this will make it easier to separate pollution generated within the city from pollution coming from outside and help departments take more targeted action.
The Delhi government expects the project to improve the way it plans and manages pollution control by giving departments better data and analysis. Officials said it will also strengthen enforcement, improve coordination among different departments and help authorities prepare better for periods of high pollution.
The project also aims to make air quality management more transparent, improve accountability and strengthen the system for handling public complaints related to air pollution.
Another important part of the collaboration is the preparation of standard operating procedures (SOPs), coordination mechanisms and graded response protocols for different departments.
Officials said these will be aligned with existing programmes and frameworks, including the Commission for Air Quality Management, the Graded Response Action Plan (GRAP) and the National Clean Air Programme (NCAP), so that different agencies can work together more effectively during pollution episodes.
The project will also focus on training government officials who will use the new systems. Officers from different departments will be trained to understand the data generated by the AI platform and use it while planning pollution-control measures. Manuals, guidance documents and other technical material will also be prepared to help departments use the system effectively.
Under the agreement, the Department of Environment will coordinate with government departments and other stakeholders, provide operational and technical data wherever permitted under the law, appoint a nodal officer to oversee implementation and review, and validate the analytical models before they are put into use.
AIRAWAT Research Foundation, on the other hand, will develop the AI-based tools and analytical systems, deploy technical experts and researchers, ensure compliance with data protection and information technology laws, and submit regular progress reports along with policy recommendations.
The secretary of the department of environment will supervise implementation of the project on behalf of the Delhi government, while the chief executive officer or project director of AIRAWAT Research Foundation will coordinate implementation from the organisation’s side. Regular review meetings will be held to monitor progress and align priorities.
Officials said the MoU does not involve any immediate financial commitment from the Delhi government. If any future project requires funding, separate proposals will be submitted to the government for approval.
According to officials, the collaboration is expected to improve Delhi’s understanding of pollution patterns, make it easier to identify local sources of pollution and support quicker and more effective pollution-control measures.
By combining AI, low-cost sensors, mobile monitoring laboratories, satellite data and scientific analysis, the government hopes to build a stronger air quality management system that will improve coordination among departments, support better planning and contribute to cleaner air, greater climate resilience and better public health in the capital. PTI SGV MPL MPL
