Landslide Early Warning Systems: A new approach to landslide EWS using global scale hydro-meteorological tools with a consideration of EWS introduction to post-colonial societies.
This project is introducing the global medium-range forecasts into real-time intensity-duration landslide early warning systems. It also looks at global forecasting tools, and their accuracy in predicting landslide events. This new approach may increase lead time of early warning for rainfall triggered landslides in the mountainous areas of India, and in turn positively impact the community resilience to these natural hazards. However, there needs to be some sensitivity when introducing new technologies to post-colonial societies. This is to prevent a technocratic push from the Global North that leaves the adapting communities with a difference of technology vs. capability to use it. When implementing technology there is also some questions on who owns the information, and if there are any issues surrounding information justice - from top down government systems, or institutions. This project is funded by NERC and DFID as part of the Science for Humanitarian Emergencies and Resilience (SHEAR) programme.
I graduated from the University of Portsmouth with both my BSc Environmental Science (Hons) and MSc Environmental and Geological Hazards degrees. I have grown my interest in disaster risk reduction management, community resilience and justice from my many field trips and summer schools. I enjoy collaboration, interdisciplinary work and conferences. For the past academic year I have been working in my department as a teaching fellow. I have written some blogs and other pieces throughout my PhD on these experiences and continue to seek more adventure and research as my career develops.
- Disaster Risk Reduction.
- Early Warning Systems.
- Forecasts & Prediction.
- Information Justice.