Unreliable Air and Noise Data

Syllabus: Important aspects of governance, transparency and accountability

Overview

  • Policy strength depends on credibility of data it rests on.
  • Two failures in India’s environmental monitoring: Delhi’s Real-Time Air Pollution Network, Lucknow’s National Ambient Noise Monitoring Network exposes weaknesses in India’s environmental monitoring, eroding public trust and international credibility.

Delhi’s Air Pollution Monitoring: Key Issues

  • Flawed Infrastructure
    • CAG found major flaws in Delhi’s air network. 
    • Sensors placed under trees and near walls gave distorted readings. Many were located in cleaner areas, falsely showing “moderate” air quality despite visible smog.
  • Governance Concern
    • Unreliable data undermines policy on stubble burning, transport, and industrial pollution. 
    • Distorted evidence weakens India’s Paris and WHO commitments, making policy direction ineffective.

Lucknow’s Noise Pollution Monitoring: Key Issues

  • 2017 CPCB data showed excessive noise in major cities. The Environment Minister acknowledged serious urban noise-control gaps in Parliament.
  • System Flaws
    • Lucknow’s network fails to record real decibel levels. 
    • Noise Rules 2000 are outdated, below WHO norms, with weak enforcement and negligible penalties.
  • Technology Without Discipline
    • Monitoring lacks scientific rigour. 
    • Misleading “moderate” readings hide hazardous exposure, favouring inaction and ignoring citizens’ right to health.

Missing Pillars of Accountability

  • CPCB guidelines on sensor setup and calibration remain poorly enforced. 
  • Despite costly sensors, no independent audit or review exists. 
  • Political influence and lack of transparency erode public confidence.

Health Impact

  • If Delhi met WHO air standards, life expectancy would rise by 8.2 years.
  • Across India, pollution cuts life by about 5 years. 
  • Misleading data conceals health damage to children and vulnerable groups.

Way Forward

  • Monitoring must be science-based with expert oversight, open data, and citizen audits. 
  • Real-time systems must reflect real conditions otherwise, they deceive the public and weaken accountability.

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