Delhi to get AI-powered system to forecast pollution, identify hotspots

The Delhi Government signed a Memorandum of Understanding with the AIRAWAT Research Foundation of the Indian Institute of Technology (IIT) Kanpur to develop ...

What Happened

The Delhi Government signed a Memorandum of Understanding with the AIRAWAT Research Foundation of the Indian Institute of Technology (IIT) Kanpur to develop an AI-powered Decision Support System (DSS) for air quality management across the National Capital.
The DSS will be capable of forecasting pollution levels 48 to 72 hours in advance, enabling authorities to take preventive action before pollution episodes escalate rather than responding after the fact.
The system will use AI-driven hyper-local monitoring to identify pollution hotspots across different city zones, enabling targeted enforcement and source-specific interventions.
The partnership will run for five years and focus on artificial intelligence, advanced data analytics, hyper-local monitoring, and scientific decision-support tools to strengthen pollution control measures.

Static Topic Bridges

AIRAWAT Research Foundation (IIT Kanpur)

The AIRAWAT Research Foundation (ARF) is a Section 8 not-for-profit company established by IIT Kanpur to operate the National Centre of Excellence for AI in Sustainable Cities. It is part of the Ministry of Education's initiative under the mission "Make AI in India, Make AI Work for India," focusing on scalable solutions for urban sustainability challenges.

AIRAWAT's mandate covers: air quality monitoring and pollution spike detection, energy forecasting, urban mobility digital twins, flood management, and smart microgrid planning.
The Foundation has a separate ongoing collaboration with the Delhi Jal Board (DJB) to deploy AI-driven urban water management models using Digital Twin technology.
Digital Twin technology creates virtual replicas of physical infrastructure, enabling simulation of interventions before real-world deployment.
The new air quality DSS will focus on hyper-local forecasting at fine spatial resolution — a significant advance over city-average AQI reporting.

Connection to this news: AIRAWAT's established expertise in urban AI applications and its institutional backing from IIT Kanpur and MoE made it the partner of choice for Delhi's pollution forecasting initiative.

Graded Response Action Plan (GRAP) and Air Quality Index

The Graded Response Action Plan (GRAP) is an emergency response framework introduced in 2017 for the Delhi-NCR region, and implemented since 2021 by the Commission for Air Quality Management in NCR and Adjoining Areas (CAQM). It prescribes stage-wise emergency restrictions that activate automatically when the AQI crosses defined thresholds.

AQI has six categories: Good (0–50), Satisfactory (51–100), Moderately Polluted (101–200), Poor (201–300), Very Poor (301–400), and Severe (401+).
GRAP operates in four stages: Stage I (Poor, AQI 201–300), Stage II (Very Poor, AQI 301–400), Stage III (Severe, AQI 401–450), Stage IV (Severe+, AQI >450).
Higher GRAP stages trigger progressively stricter measures: restrictions on diesel vehicles, construction bans, school closures, and industrial shutdowns.
GRAP is cumulative — restrictions from lower stages continue when higher stages are invoked.

Connection to this news: The AI-DSS will directly strengthen GRAP implementation by forecasting when and where AQI is likely to breach thresholds, enabling CAQM and the Delhi government to invoke GRAP stages pre-emptively rather than reactively.

National Clean Air Programme (NCAP)

The National Clean Air Programme, launched in January 2019 by the Ministry of Environment, Forest and Climate Change, is India's first national framework specifically targeting non-attainment cities — cities that consistently breach the National Ambient Air Quality Standards (NAAQS). It aims to achieve a 40% reduction in particulate matter (PM2.5 and PM10) concentrations by 2026 compared to 2017 baseline levels.

NCAP initially covered 102 non-attainment cities; the list has been revised over successive years.
Delhi is a priority non-attainment city under NCAP.
NCAP funds city-specific clean air action plans, monitoring network upgrades, and technology pilots.
PM2.5 (fine particulate matter, diameter ≤2.5 microns) is the pollutant most closely linked to cardiovascular and respiratory mortality; Delhi consistently records among the world's highest PM2.5 levels.

Connection to this news: The AI-DSS directly advances NCAP objectives by providing the predictive analytics infrastructure that city-level action plans have lacked, moving Delhi from reactive to anticipatory air quality governance.

Smart Cities Mission and Urban Technology Governance

The Smart Cities Mission (SCM), launched in 2015, aimed to integrate technology into urban governance across 100 selected cities. A core element was the establishment of Integrated Command and Control Centres (ICCCs) — real-time urban operations dashboards covering traffic, utilities, emergency response, and environment monitoring.

ICCCs aggregate data from sensors, cameras, and administrative systems into a single visualisation platform.
Delhi's existing air quality monitoring network (operated by DPCC — Delhi Pollution Control Committee) has over 40 continuous ambient air quality monitoring stations.
The AI-DSS would sit above raw monitoring data, adding predictive and prescriptive analytics layers.
Integration with ICCCs would allow pollution alerts to trigger automatic responses across multiple city departments simultaneously.

Connection to this news: The AI-DSS represents the next evolution of smart city governance — moving beyond descriptive dashboards to predictive decision support, closing the gap between monitoring and timely action.

Key Facts & Data

The Delhi Government–IIT Kanpur AIRAWAT MoU covers a five-year period.
The AI-DSS will forecast air pollution levels 48 to 72 hours in advance at hyper-local resolution.
AIRAWAT Research Foundation is a Section 8 not-for-profit under IIT Kanpur, established as a National Centre of Excellence for AI in Sustainable Cities under the MoE mission.
GRAP has four stages based on AQI levels, administered by the Commission for Air Quality Management in NCR and Adjoining Areas (CAQM) since 2021.
Delhi's DPCC operates over 40 continuous ambient air quality monitoring stations.
The National Clean Air Programme (NCAP, 2019) targets a 40% reduction in PM2.5 and PM10 by 2026 compared to 2017 baseline levels.
PM2.5 pollution is directly linked to cardiovascular and respiratory disease mortality, making predictive forecasting a public health priority.