NH3.15 | Shallow landslides: monitoring, prediction, modeling
EDI
Shallow landslides: monitoring, prediction, modeling
Co-organized by SSS10
Convener: Massimiliano Bordoni | Co-conveners: Ilenia Murgia, Emir Ahmet Oguz, Thom BogaardECSECS

Many regions worldwide are coping with the climatic global change, which is causing an increase in extreme hydro-meteorological events. Shallow landslides involving the first meters of soil layers could increase significantly compared to current and past scenarios, modifying the susceptibility of a region and the frequency of their triggering. These phenomena provoke significant environmental damages, particularly in hilly and mountainous areas, with a general loss of shallow soil layers rich in organic matter and nutrients fundamental for agricultural areas and biodiversity. The triggering of these phenomena is related to the effect of intense rainfall events on usually unsaturated soils, with a predisposition related to the hydrological conditions present in soil layers. Hydrological field monitoring is, then, fundamental to understand the predisposing and triggering conditions of shallow landslides and to develop and calibrate reliable models for their spatio-temporal prediction.
This session aims to collect researches concerning the most recent progress on monitoring, predicting, and modeling shallow landslides at different spatial and temporal scales, covering a wide spectrum of approaches, from field and laboratory measurements to remote sensing techniques, modelling methods, and mitigation measures. We encourage presentations related to:
● laboratory or field models to assess the physical, geological, and hydrological conditions leading to the triggering of these phenomena;
● field hydrological monitoring for the assessment of predisposing and triggering conditions of shallow landslides;
● proximal and remote sensing methods for measurement and monitoring hillslopes prone to shallow landslides, to identify precursory evidence and to map new phenomena;
● development, application, and validation of models for the prediction of shallow landslides;
● effects of climatic global changes and land use changes on the susceptibility and hazards towards shallow landslides;
● mitigation measures to reduce the proneness of a territory towards shallow landslides.