Sikkim is integrating six early warning stations with its state disaster management control room to provide faster alerts for glacial lake outburst floods and other natural calamities, with the system expected to offer an estimated 28 to 56 minutes of lead time depending on the monitoring station.
The early warning system has stations at Muguthang, Thangu, Zema, Yumeysamdong, Yumthang and Dombang, along with a command and control centre at Chungthang, according to an official quoted by The Telegraph. The system monitors water levels, flow velocity or discharge and ground tilt, while also providing CCTV feeds, live two-dimensional and three-dimensional visualisation, system status updates and alarm mechanisms.
The initiative follows the large-scale destruction caused by glacial lake outburst floods in Sikkim in 2023. A GLOF occurs when a glacial lake releases a sudden and large volume of water, creating severe downstream risks for settlements, roads, bridges, hydropower infrastructure and other assets in mountain valleys.
The state Department of Science and Technology held a review meeting on October 1 at Vigyan Bhawan in Gangtok to assess the warning system installed by Sikkim Urja Limited, or Greenko, for the proposed 1,200MW Teesta-III hydroelectric project in Mangan district in north Sikkim, the official said.
The department is now working to integrate data generated by Sikkim Urja Limited with the Sikkim State Disaster Management Authority control room. The proposed integration is intended to enable real-time data exchange, automated alert transmission and coordinated dissemination of warnings to agencies responsible for downstream response.
A coordination meeting held at the SSDMA Conference Hall was chaired by the relief commissioner-cum-secretary of the Land Revenue and Disaster Management Department. Discussions included direct real-time transfer of warning data to the SSDMA control room, audio-visual alerts, mobile notifications and a possible memorandum of understanding between SSDMA and Sikkim Urja Limited.
A dry run of all six stations is planned to test their operational readiness, reliability and alarm and alert mechanisms. The Department of Science and Technology is also undertaking geographic information system-based mapping and a gap analysis of early warning installations established by hydropower projects across Sikkim.
The mapping exercise is expected to identify areas without adequate coverage and locations suitable for additional warning stations. The discussions also focused on coordination among hydropower developers, the Army, the Indo-Tibetan Border Police, the Forest Department and other stakeholders for future early warning installations.
The proposed control-room integration places the focus not only on detecting hazards but also on how quickly alerts can move from monitoring equipment to agencies and communities downstream. The next operational milestone will be the dry run of the six stations and the validation of their alert mechanisms.