2023
DOI: 10.3390/app13074417
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Role of Inherited Tectonic Structures on Gravity-Induced Slope Deformations: Inference from Numerical Modeling on the Luco dei Marsi DSGSD (Central Apennines)

Abstract: A pre-existing and inherited geostructural setting plays a fundamental role in preparing and developing large-scale slope deformational processes. These structures affect the kinematics of the process, the geometrical characteristics, and the geomorphological evolution. In the Apennine Belt, several deep-seated gravitational slope deformations (DSGSDs) that have evolved under a clear structural control have been recognized during the last decades, but none with a continuous and well-defined basal shear zone (B… Show more

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Cited by 5 publications
(1 citation statement)
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“…Remote sensing approaches, including optical and radar satellite imagery, can cost-effectively cover vast areas, allowing for regionalscale landslide assessment and detection of changes over time [13]. Numerical modeling, encompassing limit equilibrium and finite element models, can help researchers better understand the underlying processes governing slope behavior and predict potential future movements or failure scenarios [14,15]. DInSAR analysis, as employed in this study, combines high-precision detection and monitoring of surface deformations with the ability to cover large areas, making it an increasingly valuable tool for identifying and tracking landslide activity [16,17].…”
Section: Introductionmentioning
confidence: 99%
“…Remote sensing approaches, including optical and radar satellite imagery, can cost-effectively cover vast areas, allowing for regionalscale landslide assessment and detection of changes over time [13]. Numerical modeling, encompassing limit equilibrium and finite element models, can help researchers better understand the underlying processes governing slope behavior and predict potential future movements or failure scenarios [14,15]. DInSAR analysis, as employed in this study, combines high-precision detection and monitoring of surface deformations with the ability to cover large areas, making it an increasingly valuable tool for identifying and tracking landslide activity [16,17].…”
Section: Introductionmentioning
confidence: 99%