Take the pledge to vote

For a better tommorow#AajSawaroApnaKal
  • I agree to receive emails from News18

  • I promise to vote in this year's elections no matter what the odds are.
  • Please check above checkbox.


Thank you for
taking the pledge

Vote responsibly as each vote counts
and makes a diffrence


Issued in public interest by HDFC Life. HDFC Life Insurance Company Limited (Formerly HDFC Standard Life Insurance Company Limited) (“HDFC Life”). CIN: L65110MH2000PLC128245, IRDAI Reg. No. 101 . The name/letters "HDFC" in the name/logo of the company belongs to Housing Development Finance Corporation Limited ("HDFC Limited") and is used by HDFC Life under an agreement entered into with HDFC Limited. ARN EU/04/19/13618
News18 » Tech
2-min read

Sikkim to Soon Get Advance Landslide Warning System With Over 200 Sensor Points

The system consists of over 200 sensors which can measure geophysical and hydrological parameters like rainfall, pore pressure and seismic activity.


Updated:August 2, 2018, 12:33 PM IST
Sikkim to Soon Get Advance Landslide Warning System With Over 200 Sensor Points
Representative Image.

Sikkim will soon have an advance warning system against landslides that would enable authorities to safely evacuate people before disaster strikes, experts said here on Wednesday. The system, being installed by the Amrita Vishwa Vidyapeetham, ranked India's eighth best university by the ministry of union human resource development's National Institute Ranking Framework for 2018 -- and co-funded by the ministry of earth sciences, targets the Sikkim-Darjeeling belt, which is among the world's most prominent "landslide hotspots".

The new IoT (Internet of Things) system for landslides, that is being put in place, is custom developed for Himalayan geology, said Maneesha Sudheer, Director, Center for Wireless Networks and Applications, Amrita Vishwa Vidyapeetham.

Sudheer, Awho spearheads landslide research at the university, said the system consists of over 200 sensors which can measure geophysical and hydrological parameters like rainfall, pore pressure and seismic activity.

"It will monitor a densely populated area spanning 150 acres around the Chandmari village in Sikkim's Gangtok area. This area has seen landslides in the past, the first one being reported in 1997," she said.

The system collects real-time, continuous data from the sensors performs basic analysis at the Field Management Center (FMC) located on the site in Sikkim and relays it to the Data Management Center (DMC) at the university centre in Kerala's Kollam district.

"The university researchers are using the data to characterise and learn the geological and hydrological nature and response of the hill with respect to the dynamic and real-time meteorological variations to develop the Landslide Early Warning Model for that area," she said.

To improve the system's reliability and enhance the early warning duration, a three-level Landslide Early Warning Model has been developed.

The first level, based on the rainfall threshold, has successfully completed the testing phase and is ready to go live and issue alerts for potential landslides at the state level.

In the second level, the system would generate a Factor of Safety (FOS) value for various points on the hill in real-time that will provide a more specific warning for the Chandmari region based on the rainfall, moisture and pore pressure sensor data from the field.

In the third level, the system would use data derived from the movement and vibrational sensors to issue landslide detection warning, she pointed out.

"This multi-level warning system will help disaster management authorities to take steps to mitigate and manage potential landslide threats in a proactive and effective manner", she said.

"As part of the project, several community engagement programs have been performed to disseminate knowledge regarding the impact of the landslides, the working of the proposed warning system and its capability to warn about imminent landslides," she added.

The university had earlier installed a landslide warning system in Kerala's Munnar district, which has issued several successful warnings till date, said University Vice-Chancellor Venkat Rangan.

Get the best of News18 delivered to your inbox - subscribe to News18 Daybreak. Follow News18.com on Twitter, Instagram, Facebook, TikTok and on YouTube, and stay in the know with what's happening in the world around you – in real time.

Subscribe to Moneycontrol Pro and gain access to curated markets data, trading recommendations, equity analysis, investment ideas, insights from market gurus and much more. Get Moneycontrol PRO for 1 year at price of 3 months. Use code FREEDOM.

| Edited by: Sarthak Dogra
Read full article
Next Story
Next Story

Also Watch


Live TV

Countdown To Elections Results
To Assembly Elections 2018 Results