Following recurrent landslide disasters in Wayanad and Western Ghats, two promising Early Warning System (EWS) models are being validated — Amrita University's sensor-based system (using tilt meters, pressure gauges, accelerometers) and IIT Mandi's probabilistic forecasting model. These are being evaluated for deployment under the National Disaster Management Authority (NDMA). India has 13% of its landmass (0.42 million sq km) classified as landslide-prone, with the Western Ghats, Himalayas, and Northeast India being the most vulnerable zones.
Science & Tech
Wayanad and Western Ghats Landslide Risk: Amrita University Sensor-Based EWS and IIT Mandi Probabilistic Models Being Validated
Key Points
- Following recurrent landslide disasters in Wayanad and Western Ghats, two promising Early Warning System (EWS) models are being validated — Amrita University's sensor-based system (using tilt meters, pressure gauges, accelerometers) and IIT Mandi's probabilistic forecasting model
- These are being evaluated for deployment under the National Disaster Management Authority (NDMA)
- India has 13% of its landmass (0.42 million sq km) classified as landslide-prone, with the Western Ghats, Himalayas, and Northeast India being the most vulnerable zones
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• Wayanad landslide EWS: Amrita University (sensor-based) + IIT Mandi (probabilistic) being validated • Sensors: tilt meters, pressure gauges, accelerometers; NDMA mapping high-risk zones • India: 13% landmass (0.42 million sq km) landslide-prone; Western Ghats, Himalayas, NE India • NDMA: National Disaster Management Authority; est. 2005 under DM Act 2005; HQ New Delhi
