Reliable, continuous data is the foundation of air quality governance. Critically evaluate the gaps in India's ambient air quality monitoring network and suggest reforms.
New · District CollectorCan you hold the district for 72 hours?Floods, a heatwave, an outbreak, a grievance queue. Take the decisions, see the consequences.Play →In this answer
Air quality governance runs on monitoring data. GRAP triggers, NCAP fund releases and health advisories all depend on it. The Central Pollution Control Board (CPCB) runs a network of 634 Continuous Ambient Air Quality Monitoring Stations (CAAQMS). It reaches widely, but Deepavali 2026 showed gaps that open exactly when pollution peaks [1].
Strengths of the network
- Real-time national coverage: station-level data showed about 70% of CAAQMS logged 'severe' PM2.5 peaks (≥250 µg/m³). These peaks occurred in at least seven States besides Delhi, which shows the problem is not Delhi-centric [1].
- Quality control: analysers are calibrated up to 1,000 µg/m³. Rejecting unreliable out-of-range values is sound practice [1].
- Policy anchor: NCAP targets up to 40% PM10 reduction by 2025-26, and its city funding is tied to measured performance [2].
Gaps
- Uptime: only 571 of 634 stations were live during Deepavali [1].
- Blackouts at peaks: many stations went silent after logging values close to 1,000 µg/m³, before crossing the calibration limit. CPCB's explanation does not cover these cases [1]. Missing peak hours pull down 24-hour averages, so a "data gap" looks like cleaner air.
- Information loss: deleting an above-range value throws away one certain fact: the air was at least 1,000 µg/m³.
- Metric mismatch: NCAP judges cities on annual PM10 [2]. About 64% of funds went to road dust, so combustion-driven PM2.5 spikes get too little weight [3].
- Weak capacity: Delhi and Noida had used under 40% of NCAP funds by May 2024 [3].
Reforms
- Flag, don't delete: publish out-of-range readings marked "above range" instead of leaving blanks.
- Public downtime log: list outages by station with reasons, to show whether gaps cluster at peak hours.
- PM2.5 and peak-day indicators in NCAP: add these so festival and winter spikes count when funds are released, addressing CSE's concern about the PM10 focus [3].
- Spend on upkeep: SPCBs should use unspent NCAP funds for maintenance, backup power and higher-range analysers.
India has built a monitoring network of real scale, but it is least reliable during a crisis. Flagged data, open downtime records and PM2.5-linked targets would turn readings into accountability. That would advance the right to clean air under Article 21 and SDG target 3.9.
Sources
- 1"Across India, 70% of stations reported 'severe' PM2.5 readings", The Hindu, 12 Nov 2026634 CAAQMS; ~70% severe peaks; seven-plus States; 571 live; 1,000 µg/m³ calibration; gaps before the limit
- 2PIB: NCAP targets reductions up to 40% of PM10 concentrations by 2025-26NCAP PM10 target and performance-linked funding
- 3CSE assessment, "National Clean Air Programme: An agenda for reform" (via Down To Earth)64% of funds to road dust; PM10 focus misses PM2.5; Delhi/Noida under 40% utilisation