Man-made Disasters — Prelims Strategy

Prelims Strategy

For Prelims, the strategy for man-made disasters should focus on factual recall, understanding key definitions, and memorizing important case studies with their specific details.

1
Definitions and Classifications: — Be clear on the definitions of man-made, anthropogenic, and technological disasters. Understand the various sub-types: industrial, transportation, structural, environmental contamination, nuclear, and cyber disasters.
2
Key Case Studies: — Memorize 8-10 prominent case studies (Bhopal, Chernobyl, Exxon Valdez, Fukushima, Deepwater Horizon, Rana Plaza, Vizag, Uphaar, Mumbai Power Outage, Colonial Pipeline). For each, know the date, location, primary cause, immediate casualties, and significant long-term impacts or policy changes it triggered.
3
Legal and Institutional Frameworks: — Remember the key acts (Environment Protection Act 1986, Disaster Management Act 2005, Public Liability Insurance Act 1991) and their main provisions. Know the structure and functions of NDMA.
4
International Frameworks: — Be familiar with the Sendai Framework for DRR (its goals, priorities) and its predecessor, the Hyogo Framework.
5
Key Principles: — Understand 'Absolute Liability,' 'Polluter Pays Principle,' and 'Precautionary Principle' and their associated landmark judgments (M.C. Mehta).
6
Current Affairs: — Stay updated on recent industrial accidents, cyberattacks, or structural collapses in India and globally. Note any new policies, regulations, or technological interventions announced in response.

Practice MCQs that test your knowledge of specific events, their causes, and the legislative responses. Pay attention to 'which of the following are correct' type questions that combine multiple facts. The 'IMPACT' mnemonic (Industrial, Movement, Pollution, Anthropogenic, Cyber, Technological) can aid in quick recall of disaster types.

Also build Paper II skills

Regional comparisons and process chains train the same coherence and inference habits CSAT passages demand. CSAT hub.

• Data interpretation
• Estimation techniques
• Logical deductions