The paper presents a procedure for the analysis of building vulnerability to slow-moving landslides via A-DInSAR and damage survey data. For this purpose, a test site in Calabria region (southern Italy) affected by slow-moving landslides, which over the time caused severe damage to buildings, was selected. The availability of remote sensing data such as those derived from the processing of Synthetic Aperture Radar images via Advanced Differential Interferometry techniques (A-DInSAR) and information concerning damage severity suffered by the facilities, collected by in situ damage surveys, allowed investigating the cause (differential settlement)—effect (damage) relationship. Then, empirical fragility curves for both reinforced concrete and masonry buildings were generated. These latter, once further validated, can be valuably used for damage analysis and forecasting purposes and framed within procedures for risk analysis and management over urban landslide-affected areas.

Analysis of building vulnerability to slow-moving landslides via A-DInSAR and damage survey data

NICODEMO, GIANFRANCO;PEDUTO, DARIO;FERLISI, Settimio;
2017-01-01

Abstract

The paper presents a procedure for the analysis of building vulnerability to slow-moving landslides via A-DInSAR and damage survey data. For this purpose, a test site in Calabria region (southern Italy) affected by slow-moving landslides, which over the time caused severe damage to buildings, was selected. The availability of remote sensing data such as those derived from the processing of Synthetic Aperture Radar images via Advanced Differential Interferometry techniques (A-DInSAR) and information concerning damage severity suffered by the facilities, collected by in situ damage surveys, allowed investigating the cause (differential settlement)—effect (damage) relationship. Then, empirical fragility curves for both reinforced concrete and masonry buildings were generated. These latter, once further validated, can be valuably used for damage analysis and forecasting purposes and framed within procedures for risk analysis and management over urban landslide-affected areas.
2017
978-3-319-53498-5
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4687803
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