Delhi Air Pollution — Mains Strategy

Mains Strategy

Structure answers using the cause-effect-solution framework with specific data integration. Begin with current status using recent AQI figures and health impact statistics. Analyze causes with source apportionment data and seasonal factors.

Evaluate policies critically with effectiveness metrics (odd-even scheme's 13-17% vehicular reduction, NCAP's mixed progress). Include institutional analysis covering CAQM's role, federal coordination challenges, and judicial interventions.

Draw comparisons with international examples like Beijing's success story. Use diagrams for source apportionment pie charts and GRAP escalation flowcharts. Integrate multiple dimensions: health (premature deaths data), economic (₹7,000-10,000 crores losses), social (equity impacts), and governance (federal dynamics).

Conclude with actionable recommendations showing understanding of implementation challenges. Keywords to include: airshed management, cooperative federalism, source-specific interventions, and technology integration.

Also build Paper II skills

Climate data, pollution metrics, and treaty timelines are natural practice for CSAT data interpretation and careful reading. CSAT hub.

• Data interpretation
• Correlation vs causation
• Estimation techniques