A-posteriori analysis of the performance of a rockfall susceptibility map

Abstract Background Rockfalls pose a serious threat along the main road network, representing a major hazard in mountainous territory and causing damage and victims. Currently, susceptibility mapping represents a starting point to identify areas more susceptible to rockfall occurrence, a key approach in land use planning and risk management. Despite the extensive use of these maps by decision makers and administrators, the usability of such maps over time and their reliability represent a poorly discussed and examined feature. Methods Here, we proposed a-posteriori analysis of a three-year-old rockfall susceptibility map, generated along the main road network of the Aosta Valley, an alpine region of north-western Italy. To verify map consistency over time, we implemented a dual-analysis in GIS-environment and by text mining, to respectively analyse the geocoded data and textual information derivable from the regional landslide inventory. The first one allowed us to extract rockfall events occurred after the susceptibility map generation. By this way, we operated to spatially and temporally verify the map consistency. Jointly, the textual information reported in the Event Description Form, linked to each geocoded event, are being exploited. This allowed us to derive relevant information about occurred damage and their degree, presence of protective measures or secondary roads, i.e. involvement of, farm or forestry, road. Results The implemented approach allowed us to prove the quality of the previous map in terms of reliability, robustness and degree of fitting respect to the succession of rockfall occurrence over time. After only three years as many as 198 rockfall events have been occurred and collected since the map was generated. Particularly, 80% of rockfall fit with “high” and “very high” susceptibility classes, and pointed out large involvement of main roads in rockfall occurrence, representing the most affected target with damage to road pavement and vehicles, as well as a relevant involvement of existing rockfall barriers and of the dense network of forestry roads and footpaths that characterize this alpine region. Results The proposed approach representing a starting point in landslide susceptibility map verification and usability as valid instrument for a reliable land planning.

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Publication Details

Journal
Geoenvironmental Disasters
Published
2024-10-31
DOI
https://doi.org/10.1186/s40677-024-00300-w
Citations
1
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
0.71
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article

A-posteriori analysis of the performance of a rockfall susceptibility map

Davide Bertolo, Danilo Godone, Davide Cardone, Martina Cignetti et al.
1 citations
Geoenvironmental Disasters
Landslides and related hazards
0.71
article

A-posteriori analysis of the performance of a rockfall susceptibility map

Davide Bertolo, Danilo Godone, Davide Cardone, Martina Cignetti, Daniele Giordan
article en
1 citations

Abstract

Abstract Background Rockfalls pose a serious threat along the main road network, representing a major hazard in mountainous territory and causing damage and victims. Currently, susceptibility mapping represents a starting point to identify areas more susceptible to rockfall occurrence, a key approach in land use planning and risk management. Despite the extensive use of these maps by decision makers and administrators, the usability of such maps over time and their reliability represent a poorly discussed and examined feature. Methods Here, we proposed a-posteriori analysis of a three-year-old rockfall susceptibility map, generated along the main road network of the Aosta Valley, an alpine region of north-western Italy. To verify map consistency over time, we implemented a dual-analysis in GIS-environment and by text mining, to respectively analyse the geocoded data and textual information derivable from the regional landslide inventory. The first one allowed us to extract rockfall events occurred after the susceptibility map generation. By this way, we operated to spatially and temporally verify the map consistency. Jointly, the textual information reported in the Event Description Form, linked to each geocoded event, are being exploited. This allowed us to derive relevant information about occurred damage and their degree, presence of protective measures or secondary roads, i.e. involvement of, farm or forestry, road. Results The implemented approach allowed us to prove the quality of the previous map in terms of reliability, robustness and degree of fitting respect to the succession of rockfall occurrence over time. After only three years as many as 198 rockfall events have been occurred and collected since the map was generated. Particularly, 80% of rockfall fit with “high” and “very high” susceptibility classes, and pointed out large involvement of main roads in rockfall occurrence, representing the most affected target with damage to road pavement and vehicles, as well as a relevant involvement of existing rockfall barriers and of the dense network of forestry roads and footpaths that characterize this alpine region. Results The proposed approach representing a starting point in landslide susceptibility map verification and usability as valid instrument for a reliable land planning.

Geoenvironmental DisastersVol. 11(1)
Research Institute for Geo-Hydrological Protection (IT), Osservatorio Astronomico della Regione Autonoma Valle d'Aosta (IT), National Research Council (IT), University of Twente (NL)
Life in Land
Openalex Percentile: Top 21%
Landslides and related hazards
0.71
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