Amid Western Ghats landslides, revisiting need for developing early warning systems
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📌 Summary:
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Recent landslides in the Western Ghats have revived the debate on landslide early warning systems (EWS); about 13% of India''s landmass (~0.42 million sq km) is landslide-prone per NDMA, with highest risk in the Himalayan region and Western Ghats
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Landslides CAN be predicted in high-risk zones: two weeks before the 2024 Wayanad disaster (300+ deaths), Munnar-area landslides in Idukki saw zero deaths because the district administration evacuated on the advice of an Amrita University team testing a sensor-based EWS
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Sensor-based method (Amrita University, led by Maneesha Vinodini Ramesh): networks of tilt meters, pressure gauges and accelerometers at high-risk sites trigger warnings when thresholds are crossed — robust with long lead time, but covers only instrumented slopes since landslides are highly localised
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Probabilistic method (IIT Mandi, Prof Dericks Praise Shukla): satellite-based mapping of vulnerable spots + highly localised rainfall forecasts + 7-10 parameter layers (soil, rock stability, slope, population density); validated against ~80 Himalayan landslides over the past year — wide coverage including remote areas, but short lead time until IMD''s higher-resolution rainfall forecasts arrive
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International precedent: Switzerland evacuated hundreds days in advance in 2023 and 2025 cases; experts say a comprehensive Indian EWS is achievable in ~2 years with adequate resources
🎯 UPSC Relevance: GS3 Disaster Management — early warning, mitigation and preparedness (Sendai Framework Priority 4); GS1 — mass movements in Western Ghats/Himalaya
📝 Prelims Facts:
- ~13% of India (0.42 million sq km) is landslide-prone (NDMA)
- Wayanad landslide (July 2024): 300+ deaths
- EWS instruments: tilt meters, pressure gauges, accelerometers; rainfall is the most common trigger
🔑 Key Term: Landslide Early Warning System (LEWS) — sensor- or model-based system that forecasts slope failure to enable pre-emptive evacuation, a key element of the Sendai Framework''s "early warning for all" priority
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