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. A-DInSAR) 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.

Rapid characterisation of the extremely large landslide threatening the Rules Reservoir (Southern Spain)

“…The integration of multi-technique results has proved to be an effective procedure for a comprehensive view of the geometry and kinematics of slope movements, as evidenced by recent works: e.g. Janeras et al 2016;Peduto et al 2021;Cenni et al 2021. For our case of study, the selected techniques provided valuable information on the El Arrecife Landslide displacement rate at very different time scales.…”

Monitoring deformations of infrastructure networks: A fully automated GIS integration and analysis of InSAR time-series

“…[97][98][99][100] Accurate geolocalisation of radar targets 101 and PS height estimate 102 were demonstrated. In more recent work, 33,34,38,[103][104][105][106] InSAR-derived results from different type of structures have been compared with measurements gathered by in-situ instruments and visual inspections, revealing good agreement between the data and enabling the integration of MT-InSAR measurements with damage assessment procedures. 38,39,[107][108][109][110] However, while these studies demonstrate the potential of MT-InSAR for infrastructure monitoring, handling the large amount of PS data for civil engineering applications is still a challenge.…”

A refinement analysis of the shallow landslides susceptibility at regional scale supported by GIS-aided geo-database

“…In the last decades the uncorrected management and planning of territory coupled with to certain human activities (i.e. rapid changes land use driven by intense population pressure and/or urban and agricultural expansion) have given a strong contribute for the increment of landslide risk (Guzzetti 2000;Glade et al 2005;Beguer ıa 2006;Peduto et al 2021). In particular, shallow landslides (depth of slip surface 3 m), which often may rapidly propagate from source areas as earth/debris flows (Campbell 1975;Hungr et al 2001;Baum et al 2005;Crozier 2005;Gull a et al 2008;Sujatha 2020Sujatha , 2021Sujatha and Sridhar 2021), causing serious damages to properties and loss of human lives (Govi and Mortara 1981;Brand 1988;Wieczorek et al 2001;Sorriso-Valvo et al 2004;Cascini et al 2008).…”