Landslide Susceptibility Analysis by Applying TRIGRS to a Reliable Geotechnical Slope Model
This paper presents the results of a research aimed at analysing the susceptibility to shallow landslides of a study area in the Calabria region (Southern Italy). These shallow landslides, which in some cases evolve as debris flows, periodically affect the study area, causing damage to structures an...
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MDPI AG
2021-12-01
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| Series: | Geosciences |
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| Online Access: | https://www.mdpi.com/2076-3263/12/1/18 |
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| author | Mariantonietta Ciurleo Settimio Ferlisi Vito Foresta Maria Clorinda Mandaglio Nicola Moraci |
| author_facet | Mariantonietta Ciurleo Settimio Ferlisi Vito Foresta Maria Clorinda Mandaglio Nicola Moraci |
| author_sort | Mariantonietta Ciurleo |
| collection | DOAJ |
| description | This paper presents the results of a research aimed at analysing the susceptibility to shallow landslides of a study area in the Calabria region (Southern Italy). These shallow landslides, which in some cases evolve as debris flows, periodically affect the study area, causing damage to structures and infrastructure. The involved soils come from the weathering of gneissic rocks and cover about 60% of the study area. To fulfil the goal of the research, the Transient Rainfall Infiltration and Grid-based Slope-Stability (TRIGRS) model was first used, assuming input data (including physical and mechanical parameters of soils) provided by the scientific literature. Then, the preliminary results obtained were used to properly locate in situ investigations that included sampling. Geotechnical laboratory tests allowed characterising the investigated soils, and related parameters were used as new input data of the TRIGRS model. The generated shallow landslide susceptibility scenario showed a good predictive capability based on the adoption of a cutoff-independent performance technique. |
| first_indexed | 2024-03-10T01:25:18Z |
| format | Article |
| id | doaj.art-e678c5dc13e94bc29ce932571fe99fa3 |
| institution | Directory Open Access Journal |
| issn | 2076-3263 |
| language | English |
| last_indexed | 2024-03-10T01:25:18Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Geosciences |
| spelling | doaj.art-e678c5dc13e94bc29ce932571fe99fa32023-11-23T13:53:38ZengMDPI AGGeosciences2076-32632021-12-011211810.3390/geosciences12010018Landslide Susceptibility Analysis by Applying TRIGRS to a Reliable Geotechnical Slope ModelMariantonietta Ciurleo0Settimio Ferlisi1Vito Foresta2Maria Clorinda Mandaglio3Nicola Moraci4Department of Civil, Energy, Environmental and Materials Engineering, Mediterranea University of Reggio Calabria, Via Graziella—Feo di Vito, 89124 Reggio Calabria, ItalyDepartment of Civil Engineering, University of Salerno, Via Giovanni Paolo II, 84084 Fisciano, ItalyDepartment of Civil Engineering, University of Salerno, Via Giovanni Paolo II, 84084 Fisciano, ItalyDepartment of Civil Engineering, University of Salerno, Via Giovanni Paolo II, 84084 Fisciano, ItalyDepartment of Civil, Energy, Environmental and Materials Engineering, Mediterranea University of Reggio Calabria, Via Graziella—Feo di Vito, 89124 Reggio Calabria, ItalyThis paper presents the results of a research aimed at analysing the susceptibility to shallow landslides of a study area in the Calabria region (Southern Italy). These shallow landslides, which in some cases evolve as debris flows, periodically affect the study area, causing damage to structures and infrastructure. The involved soils come from the weathering of gneissic rocks and cover about 60% of the study area. To fulfil the goal of the research, the Transient Rainfall Infiltration and Grid-based Slope-Stability (TRIGRS) model was first used, assuming input data (including physical and mechanical parameters of soils) provided by the scientific literature. Then, the preliminary results obtained were used to properly locate in situ investigations that included sampling. Geotechnical laboratory tests allowed characterising the investigated soils, and related parameters were used as new input data of the TRIGRS model. The generated shallow landslide susceptibility scenario showed a good predictive capability based on the adoption of a cutoff-independent performance technique.https://www.mdpi.com/2076-3263/12/1/18in situ investigationslaboratory testsshallow landslidessusceptibilityTRIGRS |
| spellingShingle | Mariantonietta Ciurleo Settimio Ferlisi Vito Foresta Maria Clorinda Mandaglio Nicola Moraci Landslide Susceptibility Analysis by Applying TRIGRS to a Reliable Geotechnical Slope Model Geosciences in situ investigations laboratory tests shallow landslides susceptibility TRIGRS |
| title | Landslide Susceptibility Analysis by Applying TRIGRS to a Reliable Geotechnical Slope Model |
| title_full | Landslide Susceptibility Analysis by Applying TRIGRS to a Reliable Geotechnical Slope Model |
| title_fullStr | Landslide Susceptibility Analysis by Applying TRIGRS to a Reliable Geotechnical Slope Model |
| title_full_unstemmed | Landslide Susceptibility Analysis by Applying TRIGRS to a Reliable Geotechnical Slope Model |
| title_short | Landslide Susceptibility Analysis by Applying TRIGRS to a Reliable Geotechnical Slope Model |
| title_sort | landslide susceptibility analysis by applying trigrs to a reliable geotechnical slope model |
| topic | in situ investigations laboratory tests shallow landslides susceptibility TRIGRS |
| url | https://www.mdpi.com/2076-3263/12/1/18 |
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