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Relevance: GS-III (Disaster Management & Tech) | Source: Indian Express

The News: During the recent Nepal disaster, ordinary IT engineers used AI to track missing people, while private drones used thermal cameras to find trapped survivors. Disaster management is no longer just for the government; everyday tech is now saving lives on the frontlines.

1. Early Warnings

Traditional weather forecasts rely on slow, heavy math. AI changes the game entirely.

  • Instant Learning: Instead of doing math, AI studies decades of past weather data to predict instant, hyper-local storms.
  • Google’s Flood Hub: First tested in India in 2018, this AI tool processes global data to warn villagers about impending floods up to seven days in advance.

2. Smart Rescues and Relief

  • Scanning the Chaos: AI uses Natural Language Processing (NLP) to instantly read thousands of panicked social media posts in local languages, turning them into exact rescue maps.
  • Guiding the Choppers: After a disaster, specialized AI quickly scans drone videos to find safe helicopter landing spots and prioritize food drops for cut-off villages.

Value Box: Key Institutions & Tech
NDMA & Cell Broadcasts To make sure AI warnings reach people, the NDMA uses “Cell Broadcast” tech. It forces an emergency alarm onto every single phone in a danger zone, even if the telecom network is jammed.
IIT Bombay’s SAR Models Researchers use Synthetic Aperture Radar (SAR) combined with AI to accurately predict exact flood depths in the Western Ghats with 93% accuracy.
The UNDRR Rule The UN strictly warns that the smartest AI in the world is useless if a country lacks strong human government institutions to actually act on the warnings.

Practice MCQ

Q. Consider the following statements regarding modern disaster management technologies:

  1. “Cell Broadcast” technology enables authorities to send emergency alerts to all mobile phones in a specific area, bypassing normal network congestion.
  2. Natural Language Processing (NLP) is used in disaster response to parse and extract rescue intelligence from unstructured public data like social media posts.

Which of the statements given above is/are correct?

(a) 1 only     (b) 2 only     (c) Both 1 and 2     (d) Neither 1 nor 2

Answer: (c) Both 1 and 2
Hint: Statement 1 is correct; Cell Broadcasting pushes messages to all active cell towers in a region regardless of network traffic. Statement 2 is also correct; NLP helps machines understand and organize chaotic human text during emergencies.

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