The study addresses the quantitative risk assessment of a state road crossing an area of southern Italy affected by slow-moving landslides, which in the last two decades have repeatedly caused damage of different severity level and some temporary traffic interruptions or limitation. For the purpose of a sustainable landslide risk management, a procedure based on multi-source monitoring/survey data exploitation was implemented. The availability of multi-temporal datasets allowed analyzing the relationship between the landslide kinematic features and the associated effects in terms of damage severity. This phase was propaedeutic to set up probabilistic consequence forecasting models (i.e. fragility and vulnerability curves) that were used to quantify economic losses for a fixed time scenario.
MONITORING/SURVEYING DATA-BASED QUANTITATIVE RISK ASSESSMENT FOR A ROAD CROSSING A SLOW-MOVING LANDSLIDE-AFFECTED AREA
Dario Peduto
;Gianfranco Nicodemo;Davide Luongo;Settimio Ferlisi;Luisa Oricchio;
2023-01-01
Abstract
The study addresses the quantitative risk assessment of a state road crossing an area of southern Italy affected by slow-moving landslides, which in the last two decades have repeatedly caused damage of different severity level and some temporary traffic interruptions or limitation. For the purpose of a sustainable landslide risk management, a procedure based on multi-source monitoring/survey data exploitation was implemented. The availability of multi-temporal datasets allowed analyzing the relationship between the landslide kinematic features and the associated effects in terms of damage severity. This phase was propaedeutic to set up probabilistic consequence forecasting models (i.e. fragility and vulnerability curves) that were used to quantify economic losses for a fixed time scenario.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.