Landslide susceptibility zoning through physically-based limit equilibrium method modelling

Landslide susceptibility is the likelihood of a landslide occurring in a given area based on local terrain conditions. Effective modelling of landslide susceptibility is crucial for generating zoning maps that inform land-use planning and management. This study promotes a novel physically-based methodology to assess landslide susceptibility on a large scale by integrating limit equilibrium methods, spatialisation criteria and statistical classification approaches. The procedure has been applied to a study area in Southern Italy, resulting in maps of the safety factor, failure surface depth, and zoning of landslide susceptibility. Scenario analyses were conducted to address uncertainties related to geomechanical and hydraulic settings. Model evaluation revealed scenarios with optimal discrimination capability, providing valuable insights into susceptibility patterns and zoning. This preliminary yet reproducible methodology provides a foundational tool for advancing physically-based landslide susceptibility zoning in both future research and practical applications. • A geospatial physically-based tool developed to assess landslide susceptibility. • Spatialisation of resulting local safety factor values. • A classification algorithm translates safety factor into landslide susceptibility. • Scenario analyses addressing geomechanical and hydraulic uncertainties. • Comparison with statistically-based susceptibility zoning.

Authors

Institutions

Publication Details

Journal
CATENA
Published
2025-12-19
DOI
https://doi.org/10.1016/j.catena.2025.109726
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Landslide susceptibility zoning through physically-based limit equilibrium method modelling

L. Borselli, Michele Santangelo, Mauro Rossi, Daniela de Lucia et al.
CATENA
Landslides and related hazards
article

Landslide susceptibility zoning through physically-based limit equilibrium method modelling

L. Borselli, Michele Santangelo, Mauro Rossi, Daniela de Lucia, Federica Angela Mevoli, Nunzia Monte, Angelo Ugenti
article en

Abstract

Landslide susceptibility is the likelihood of a landslide occurring in a given area based on local terrain conditions. Effective modelling of landslide susceptibility is crucial for generating zoning maps that inform land-use planning and management. This study promotes a novel physically-based methodology to assess landslide susceptibility on a large scale by integrating limit equilibrium methods, spatialisation criteria and statistical classification approaches. The procedure has been applied to a study area in Southern Italy, resulting in maps of the safety factor, failure surface depth, and zoning of landslide susceptibility. Scenario analyses were conducted to address uncertainties related to geomechanical and hydraulic settings. Model evaluation revealed scenarios with optimal discrimination capability, providing valuable insights into susceptibility patterns and zoning. This preliminary yet reproducible methodology provides a foundational tool for advancing physically-based landslide susceptibility zoning in both future research and practical applications. • A geospatial physically-based tool developed to assess landslide susceptibility. • Spatialisation of resulting local safety factor values. • A classification algorithm translates safety factor into landslide susceptibility. • Scenario analyses addressing geomechanical and hydraulic uncertainties. • Comparison with statistically-based susceptibility zoning.

CATENAVol. 263
Autonomous University of San Luis Potosí (MX), Istituto Nazionale di Geofisica e Vulcanologia (IT), Research Institute for Geo-Hydrological Protection (IT)
Openalex Percentile: Top 49%
Landslides and related hazards
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.