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A GIS-Based Approach for Shallow Landslides Risk Assessment in the Giampilieri and Briga Catchments Areas (Sicily, Italy)

TitleA GIS-Based Approach for Shallow Landslides Risk Assessment in the Giampilieri and Briga Catchments Areas (Sicily, Italy)
Publication TypeArticolo su Rivista peer-reviewed
Year of Publication2024
AuthorsVegliante, Giulio, Baiocchi Valerio, Falconi Luca, Moretti Lorenzo, Pollino Maurizio, Puglisi Claudio, and Righini Gaia
JournalGeoHazards
Volume5
Issue1
Pagination209 - 232
Date PublishedJan-03-2024
KeywordsDebris flows
Abstract

Shallow landslides pose a widely growing hazard and risk, globally and particularly in Mediterranean areas. The implementation of adequate adaptation and mitigation measures necessarily requires the development of practical and affordable methodologies and technologies for assessing the shallow landslides hazard and its territorial impact. The assessment of shallow landslide hazard maps involves two different and sequential steps: the susceptibility and the runout analysis, respectively, aimed at the identification of the initiation and the propagation areas. This paper describes the application in the Giampilieri and Briga Villages area (Sicily, Italy) of a shallow landslide risk process at a basin scale with an innovative approach in the runout assessment segment. The runout analysis was conducted using specific GIS tools employing an empirical–geometric approach at a basin scale. The exposure and vulnerability values of the elements at risk were assigned using a qualitative and semi-quantitative approach, respectively. The results highlight the effectiveness of the procedure in producing consistent runout hazard and risk assessments in the valley areas where the more important and vulnerable exposed elements are located. This study contributes to addressing the public administration demand for valuable and user-friendly tools to manage and
drive regional planning.

URLhttps://www.mdpi.com/2624-795X/5/1/11
DOI10.3390/geohazards5010011
Short TitleGeoHazards
Citation Key12297