Landslide Early Warning Systems In India
Source: Indian Express
GS III: Disaster Management
Overview
- News in Brief
- Landslides
- Major Causes of Landslides
- Landslide Early Warning Systems (LEWS)
- Landslide-Prone Regions in India
- Significance of Early Warning Systems
Why in the News?
Recent landslides in the Western Ghats, particularly Wayanad (Kerala), and other parts of India have revived discussions on the urgent need for Landslide Early Warning Systems (LEWS).
News in Brief
- Growing frequency of landslides has shifted the focus towards proactive landslide risk management using advanced early warning systems.
- Indigenous institutions are developing advanced forecasting and monitoring technologies for vulnerable regions.
- Research efforts focus on improving disaster preparedness and timely response in the Himalayas and Western Ghats.
Landslides
- A landslide is the downward movement of rock, soil, or debris along a slope under the influence of gravity.
- It is one of the most common geological hazards in mountainous and hilly regions and can be triggered by both natural processes and human activities.
- India is highly vulnerable to landslides, particularly in the Himalayas, North-East, Western Ghats, and parts of the Eastern Ghats.
Major Causes of Landslides
Natural Causes
- Intense rainfall, cloudbursts, and prolonged monsoon precipitation.
- Earthquakes that destabilize slopes.
- Volcanic activity in geologically active regions.
- Weathering, erosion, and river undercutting.
- Naturally steep and fragile hill slopes.
Human-Induced Causes
- Deforestation and removal of vegetation cover.
- Road construction, hill cutting, and tunneling.
- Mining, quarrying, and blasting activities.
- Hydropower and infrastructure projects in fragile terrains.
- Unplanned urbanization and encroachment on unstable slopes.
Landslide Early Warning Systems (LEWS)
- A Landslide Early Warning System (LEWS) is a technology-based disaster management mechanism that continuously monitors environmental and geological conditions to assess landslide risk.
- By analyzing rainfall patterns, slope movement, soil moisture, and ground stability, the system issues timely alerts before slope failure, enabling evacuation and reducing casualties and economic losses.
Working Mechanism of LEWS
- The system combines multiple technologies for accurate forecasting:
- Ground-based sensors such as tilt meters, accelerometers, pressure gauges, ground movement sensors, and rain gauges continuously monitor changes in slope stability.
- Satellite-based remote sensing and GIS provide terrain mapping, land-use analysis, and historical landslide inventories to identify vulnerable locations.
- Weather forecasting models integrate high-resolution rainfall predictions with rainfall threshold analysis to estimate the probability of slope failure.
- Once critical thresholds are exceeded, automated alerts are transmitted to district authorities and local communities for timely response.
Indigenous Early Warning Models
- IIT Mandi Model
- Researchers at IIT Mandi, led by Prof. Dericks Praise Shukla, have developed an indigenous probabilistic forecasting model for the Himalayan region.
- The model integrates rainfall forecasts, slope stability, rock type, soil characteristics, and population exposure to identify vulnerable areas and provide advance warning for evacuation.
- Amrita Vishwa Vidyapeetham Model
- Amrita University has established sensor-based monitoring networks on vulnerable slopes to track real-time ground movement.
- The system has demonstrated its effectiveness in supporting timely evacuation during landslide events, highlighting the potential of indigenous technologies in disaster risk reduction.
Landslide-Prone Regions in India
- The Himalayan States—Jammu & Kashmir, Himachal Pradesh, Uttarakhand, Sikkim, and Arunachal Pradesh—experience frequent landslides due to steep terrain and active tectonics.
- In the North-East, states such as Mizoram, Manipur, Nagaland, and Meghalaya remain highly vulnerable because of intense rainfall and fragile geology.
- The Western Ghats, covering Kerala, Karnataka, Tamil Nadu, and Maharashtra, are also major landslide hotspots during the monsoon season.
Significance of Early Warning Systems
- Effective early warning systems save lives by enabling timely evacuation.
- Reduce damage to infrastructure and property
- Strengthen disaster preparedness
- Improve response planning by local authorities
- Support long-term resilience in landslide-prone communities.
Challenges
- The effectiveness of LEWS is constrained by the highly localized nature of landslides
- Limited sensor coverage in remote regions
- Inadequate high-resolution rainfall forecasts
- High installation and maintenance costs
- Difficult terrain
- The need for better coordination among scientific institutions, meteorological agencies, and disaster management authorities.
Government Initiatives
- India has adopted several measures to strengthen landslide management, including
- The NDMA Guidelines on Landslides
- The National Landslide Risk Management Strategy (2019)
- The Geological Survey of India (GSI) Landslide Atlas
- The National Disaster Management Plan (NDMP)
- IMD’s rainfall forecasting services
- ISRO’s satellite–based monitoring for hazard assessment.
Way Forward
- India should expand sensor networks across vulnerable regions
- Strengthen high-resolution weather forecasting,
- Integrate Artificial Intelligence, GIS, and satellite data for real-time risk assessment
- Improve community awareness and preparedness
- Enforce sustainable land-use regulations in hill areas
- Establish a comprehensive nationwide Landslide Early Warning Network to minimize disaster risks and enhance resilience.
Key Takeaways
UPSC Prelims and Mains Practice Question
Which of the following are major landslide triggers?
- Heavy rainfall
- Earthquakes
- Deforestation
- Mining
A. 1 and 2 only
B. 2 and 3 only
C. 1, 2, 3 and 4
D. 1 and 4 only
Answer: C
Mains Practice Question
Q. Discuss the causes of landslides in India. Examine the role of technology and early warning systems in mitigating landslide disasters. (15 Marks, 250 Words)
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