Abstract
The occurrence of geological events such as landslides is one of the main causes of damage along linear infrastructures: Damage to transport infrastructures, as roads, bridges, and railways, can restrict their optimal functions and contribute to traffic accidents. The frequent and accurate monitoring of slope instability phenomena and of their interaction with existing man-made infrastructures plays a key role in risk prevention and mitigation activities. In this way, the use of high-resolution X-band synthetic aperture radar (SAR) data, characterized by short revisiting times, has demonstrated to be a powerful tool for a periodical noninvasive monitoring of ground motion and superstructure stability, aimed at improving the efficiency of inspection, repairing, and rehabilitation efforts. In the present work, we suggest a semiautomatic GIS approach, which, by using satellite radar interferometry data and results of geomorphological field survey integrated in a qualitative vulnerability matrix, allows to identify sections with different levels of damage susceptibility, where detailed conventional in situ measurements are required for further analysis. The procedure has been tested to investigate landslide-induced effects on a linear infrastructure in Campania Region (Italy), the Provincial Road “P.R. 264”, which is affected, along its linear development, by several slope instabilities. COSMO-SkyMed interferometric products, as indicator of ground kinematics, and results of in situ damage survey, as indicator of consequences, have been merged in a qualitative 4 × 4 matrix, thus obtaining a vulnerability zoning map along a linear infrastructure in January 2015. Furthermore, an updating of landslide inventory map is provided: In addition to 24 official landslides pre-mapped in 2012, 30 new events have been identified, and corresponding intensity and state of activity has been detected.
Highlights
The Italian infrastructures network represents a connection system of outstanding importance for social and economic life of the whole country: the total length of road network is about 59,000 km and includes 1300 tunnels, 7000 overpasses, and 17,000 bridges.Appl
In this paper, dealing with a large-area analysis, at small scale of representation, we propose a qualitative vulnerability matrix which, combining landslide kinematic and damage severity, can be used as an initial screening process to identify, very quickly, sections along linear infrastructure, with different levels of vulnerability
A significantadvantage advantageof ofthe theproposed proposed approach new a significant approach isisthat thatititenabled enabledtotoidentify identify new ground instability phenomena, obtaining a new landslide inventory map updated to January ground instability phenomena, obtaining a new landslide inventory map updated to January 2015
Summary
The Italian infrastructures network (roads, highways, and railways) represents a connection system of outstanding importance for social and economic life of the whole country: the total length of road network is about 59,000 km and includes 1300 tunnels, 7000 overpasses, and 17,000 bridges.Appl. The Italian infrastructures network (roads, highways, and railways) represents a connection system of outstanding importance for social and economic life of the whole country: the total length of road network is about 59,000 km and includes 1300 tunnels, 7000 overpasses, and 17,000 bridges. Transportation infrastructure plays a significant role in the success of every nation’s economy: In particular, road transport is the primary means of national transportation, so maintaining a reliable and durable road infrastructure is essential to economic growth and social development. Is a country strongly affected by natural hazards, such as landslides [1], which often are cause of deaths, injured and physical damage to private and public properties. Slow-moving landslides, generating deformation, cracks and local failures to road surface, are responsible for considerable economic losses [2]
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