Ela Šegina, Geological Survey of Slovenia x2019Talk xClimate Change xGeology xFlood xLandslide xHazard
Ela Šegina is a PhD student of karstology and a young scientist at the Geological Survey of Slovenia currently working on geohazard.
Presentation -pdf
Video -mp4 HD
ABSTRACT: "Using spatial data for modelling landslide susceptibility "
Jasna Šinigoj, Mateja Jemec Auflic, Špela Kumelj, Tina Peternel, Jernej Jež, Ela Šegina
Topic category: Climate Change Flooding and Disaster Impacts
The landslide prediction system was developed to model the probability of rainfall-induced landslides occurrence in Slovenia. It is based on the three input spatial datasets: 1) landslide susceptibility map, 2) landslide triggering rainfall threshold values and 3) precipitation forecasting model. Statistical methods have been applied in analyzing spatial correlations between several environmental factors, precipitation forecast and existing landslide inventory. Potential landslide areas are forecasted twice daily on a national scale (1: 250,000) and on a local scale (1: 25,000) for selected municipalities and are available to the Administration of Civil Protection and open public via web-platforms. The system for landslide prediction constantly upgrades by implementation of different rainfall models, new parameters and incorporation of public risk. Additional calibration of input parameters and landslide inventory as well as improved spatial resolution of rainfall forecast data will further enhance the model's prediction and improve the landslides early-warning system.