Citizen Science for Landslide Risk Reduction and Disaster Resilience building in Mountain Regions (Landslide EVO)
PROJECT PARTNERS ( INTERNATIONAL) :
UK [Imperial College Londonu (Lead), University of Birmingham]
Austria [International Institute for applied Systems Analysis (IIASA) Geological Survey of Austriau (GBA)]
Switzerland [University of Geneva]
Netherlands [Wageningen University]
France [United Nations Educational Scientific and Cultural Organisation (UNESCO)]
PROJECT PARTNERS (LOCAL) :
Society of Hydrologists and Meteorologists-Nepal (SOHAM-Nepal), Tribhuvanu University (TU), Nepal Practical Action Consulting (PAC), Department of Hydrology and Meteorology (DHM) and Kathmandu Living Labs (KLL)
TEAM LEADER : Dr. Wouter Buytaert, Imperial College, London, UK
STUDY AREA : Karnali Basin, Nepal
PROJECT DURATION : November 1, 2016- October 31, 2020 (Four years)
OFFICIAL LAUNCH DATE : TBD
PROGRAMME IMPLEMENTATION DATE : TBD
EXPECTED END DATE : October, 2020
OVERALL AIM :
The main aim of the Landslide EVO is to employ a bottom up participatory approach to increase resilience to hydrologically induced landslide and flood hazards in mountainous Western Nepal leveraging advances in in-situ/remote monitoring, vulnerability assessment, and polycentric risk governance, to co-generate locally actionable,knowledge and tools for disaster risk reduction and resilience building.
MAIN SCIENTIFIC OBJECTIVES :
- Increase local disaster resilience in a remote mountainous region of Western Nepal , making use of participatory approaches to knowledge generation via citizen science.
- Map and model landslide risk and vulnerability along the Seti River in the Karnali Basin
- Combine community based environmental sensing with satellite data to generate maps and forecast landslide triggers
- Develop local early warning systems and assimilate multiple data sources by developing new web based methods for data processing and modelling
- Disseminate Landslide EVO project knowledge in South Asia
The consortium is interdisciplinary, and brings together experts in environmental hazards, engineering social sciences resilience, citizen science and computational modelling.
(Please check http://paramo.cc.ic.ac.uk/landslide for more information)