Railways represent a significant asset for Italy, with more than 16,000 km of rail lines distributed all over the country. The impacts of extreme weather events can be particularly severe on rail infrastructure because of the highly integrated nature of the rail system. Historical failure of rail infrastructure due to extreme weather events is well documented. In addition, it is to be expected that climate change affects the stability of engineered slopes and have consequences on landslides. Failure of a single asset can result in potential fatalities, large replacement costs, and loss of service. Consequently, Rete Ferroviaria Italiana (RFI), the Italian public limited company for railway transportation, is moving towards risk assessment methods as part of holistic asset management. In this context, ETS Srl has been developing a methodology called MIRETS (Management and Identification of the Risk - ETS), a workflow to connect survey-inspection data for geology, digitalization, diagnostics, and design. Within this framework, a three-phase methodological approach has been developed for the design and the implementation of a landslide early warning system (LEWS) along a strategic railway infrastructure. This study describes the first preliminary results, focusing on the collection and the processing of the input data.
Landslide Early Warning Systems as Climate Change Adaptation Measures for Rail Infrastructure
Pecoraro G.;Calvello M.
2023-01-01
Abstract
Railways represent a significant asset for Italy, with more than 16,000 km of rail lines distributed all over the country. The impacts of extreme weather events can be particularly severe on rail infrastructure because of the highly integrated nature of the rail system. Historical failure of rail infrastructure due to extreme weather events is well documented. In addition, it is to be expected that climate change affects the stability of engineered slopes and have consequences on landslides. Failure of a single asset can result in potential fatalities, large replacement costs, and loss of service. Consequently, Rete Ferroviaria Italiana (RFI), the Italian public limited company for railway transportation, is moving towards risk assessment methods as part of holistic asset management. In this context, ETS Srl has been developing a methodology called MIRETS (Management and Identification of the Risk - ETS), a workflow to connect survey-inspection data for geology, digitalization, diagnostics, and design. Within this framework, a three-phase methodological approach has been developed for the design and the implementation of a landslide early warning system (LEWS) along a strategic railway infrastructure. This study describes the first preliminary results, focusing on the collection and the processing of the input data.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
