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( Alessandro Simoni ),( Benedikt Bayer ),( Matteo Berti ),( Silvia Franceschini ),( Gabriela Squarzoni ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2
In this work we back-analyze two landslide failures that occurred in the Northern Apennines of Italy, in terms of surface movements and their relation with rainfalls. The two landslides have some similarities in that they are historical earthflows characterized by relatively long period of slow-moving stable sliding that can be interrupted by rapid acceleration and catastrophic failure. In both cases, the catastrophic failures were sudden and unexpected, causing problems to infrastructures (roads and railways) located at the toe of the landslides. We process interferograms of SAR images acquired by Sentinel 1 A/B with time spans ranging from 6 to 24 days, removing those having low coherence by manual inspection. The conventional 2-pass technique allowed us to obtain measurements of surface displacement despite the fact that no infrastructures nor major reflectors are present on landslide bodies. Our interferograms show that surface displacements are well visible since 2015. They display nearly continuous downslope motion with seasonal velocity changes. Time series between 2015 and 2018 shows that surface displacements can be appreciated throughout most part of the year with snow cover and summer peak of vegetation being the most notable exceptions. Distinct accelerations can be detected in space and time during the weeks and months preceding the catastrophic failures. We compare time-dependent deformations to precipitation patterns to explore interactions between precipitation and landslide kinematics and to document the transition from stable to unstable sliding. Our work indicate that InSAR interferometry can be successfully used to anticipate catastrophic failure.
Landslide prediction, monitoring and early warning: a concise review of state-of-the-art
채병곤,박혁진,Filippo Catani,Alessandro Simoni,Matteo Berti 한국지질과학협의회 2017 Geosciences Journal Vol.21 No.6
Landslide is one of the repeated geological hazards during rainy season, which causes fatalities, damage to property and economic losses in Korea. Landslides are responsible for at least 17% of all fatalities from natural hazards worldwide, and nearly 25% of annual casualties caused by natural hazards in Korea. Due to global climate change, the frequency of landslide occurrence has been increased and subsequently, the losses and damages associated with landslides also have been increased. Therefore, accurate prediction of landslide occurrence, and monitoring and early warning for ground movements are very important tasks to reduce the damages and losses caused by landslides. Various studies on landslide prediction and reduction in landslide damage have been performed and consequently, much of the recent progress has been in these areas. In particular, the application of information and geospatial technologies such as remote sensing and geographic information systems (GIS) has greatly contributed to landslide hazard assessment studies over recent years. In this paper, the recent advances and the state-of-the-art in the essential components of the landslide hazard assessment, such as landslide susceptibility analysis, runout modeling, landslide monitoring and early warning, were reviewed. Especially, this paper focused on the evaluation of the landslide susceptibility using probabilistic approach and physically based method, runout evaluation using volume based model and dynamic model, in situ ground based monitoring techniques, remote sensing techniques for landslide monitoring, and landslide early warning using rainfall and physical thresholds.