A toolkit for landslide early warning systems
Thursday, Dec 03, UTC 11:00 to 11:55
Organizer: Practical Action, Red Cross Red Crescent Climate Centre, British Geological Survey, King’s College London, Imperial College London, University of Birmingham, Consiglio Nazionale delle Ricerche, UK Met Office, Geological Survey India, Amrita University, Newcastle University, Tribhuvan University, Society of Hydrologists and Meteorologists, Kathmandu Living Labs, Nepal Department for Hydrology and Meteorology, International Institute for Applied Systems Analysis, Geological Survey of Austria, University of Geneva, Wageningen University, United Nations Educational Scientific and Cultural Organisation.
|Landslides are complex hazards that affect many areas of the world and cause significant loss of life and damage. Landslide early warning systems provide an opportunity to generate information in advance of such events, allowing for early actions that can reduce risks and impacts of these hazards. However, landslide early warning systems vary widely in approaches, scale, and many case studies are non-operational. There are also no existing holistic guidance resources for countries considering implementing landslide early warning systems. This session will provide an overview of landslide early warning systems from both a technical and operational/practical perspective, drawing on experiences and knowledge across the globe and case studies of Nepal and India from the Science for Humanitarian Emergencies and Resilience programme (SHEAR). Both slope and regional scale landslide early warning systems will be covered in a marketplace format to encourage discussions and tailored sharing of knowledge aligned with participants’ interests and needs. The essential value of a combined approach across physical science, social science and practitioners will be emphasised in order to achieve an operational, sustainable system.The session will also test launch a new guidance resource for setting up and implementing landslide early warning systems, getting feedback from the participants to ensure the guide provides appropriate and comprehensive information for stakeholders embarking on landslide early warning.