Full integration of geomorphological, geotechnical, A-DInSAR and damage data for detailed geometric-kinematic features o
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Dario Peduto I Mariantonia Santoro I Luigi Aceto I Luigi Borrelli I Giovanni Gullà
Full integration of geomorphological, geotechnical, A-DInSAR and damage data for detailed geometric-kinematic features of a slow-moving landslide in urban area
Abstract The reconnaissance, mapping and analysis of kinematic features of slow-moving landslides evolving along medium-deep sliding surfaces in urban areas can be a difficult task due to the presence and interactions of/with anthropic structures/ infrastructures and human activities that can conceal morphological signs of landslide activity. The paper presents an integrated approach to investigate the boundaries, type of movement, kinematics and interactions (in terms of damage severity distribution) with the built environment of a roto-translational slow-moving landslide affecting the historic centre of Lungro town (Calabria region, southern Italy). For this purpose, ancillary multi-source data (e.g. geological-geomorphological features and geotechnical properties of geomaterials), both conventional inclinometer monitoring and innovative non-invasive remote sensing (i.e. ADInSAR) displacement data were jointly analyzed and interpreted to derive the A-DInSAR-geotechnical velocity (DGV) map of the landslide. This result was then cross-compared with detailed information available on the visible effects (i.e. crack pattern and width) on the exposed buildings along with possible conditioning factors to displacement evolution (i.e. remedial works, sub-services, etc.). The full integration of multi-source data available at the slope scale, by maximizing each contribution, provided a comprehensive outline of kinematic-geometric landslide features that were used to investigate the damage distribution and to detect, if any, anomalous locations of damage severity and relative possible causes. This knowledge can be used to manage landslide risk in the short term and, in particular, is propaedeutic to set up an advanced coupled geotechnical-structural model to simulate both the landslide displacements and the behavior of interacting buildings and, therefore, to implement appropriate risk mitigation strategies over medium/long period. Keywords Slow-moving landslides . Geotechnical data . Monitoring . Damage . A-DInSAR Introduction Studies and investigations pursuing the characterization of landslides represent the necessary background to identify the triggering factors and the possible causes within risk assessment activities aimed at predicting and mitigating the associated consequences. The in-depth knowledge of geometric-kinematic features, corroborated by the analysis of the behaviour of the exposed elements interacting with the landslide mechanism, can help in developing, when necessary, more sophisticated numerical analyses given that the mechanical soil properties and the groundwater regimen are adequately defined (Cascini et al. 2006; Cotecchia et al. 2016; Merodo et al. 2014). As for slow-moving landslides evolving along medium/deep slip surfaces in urban areas, the detection, m
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