Articles | Volume 18, issue 9
https://doi.org/10.5194/nhess-18-2367-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-18-2367-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Sep 2018
Research article |
| 13 Sep 2018
| 13 Sep 2018
Rainfall events with shallow landslides in the Entella catchment, Liguria, northern Italy
Anna Roccati
CORRESPONDING AUTHOR
Istituto di Ricerca per la Protezione Idrogeologica, Consiglio Nazionale delle Ricerche, Turin branch office, Strada delle Cacce 73, 10135 Torino, Italy
Francesco Faccini
Dipartimento di Scienze della Terra, dell'Ambiente e della Vita, Università di Genova, Corso Europa 26, 16132 Genova, Italy
Fabio Luino
Istituto di Ricerca per la Protezione Idrogeologica, Consiglio Nazionale delle Ricerche, Turin branch office, Strada delle Cacce 73, 10135 Torino, Italy
Laura Turconi
Istituto di Ricerca per la Protezione Idrogeologica, Consiglio Nazionale delle Ricerche, Turin branch office, Strada delle Cacce 73, 10135 Torino, Italy
Fausto Guzzetti
Istituto di Ricerca per la Protezione Idrogeologica, Consiglio Nazionale delle Ricerche, Head office, Via Madonna Alta 126, 06128 Perugia, Italy
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Cited
16 citations as recorded by crossref.
- Rainfall Threshold for Shallow Landslides Initiation and Analysis of Long-Term Rainfall Trends in a Mediterranean Area A. Roccati et al. 10.3390/atmos11121367
- Rainfall-Induced Shallow Landslide Detachment, Transit and Runout Susceptibility Mapping by Integrating Machine Learning Techniques and GIS-Based Approaches M. Di Napoli et al. 10.3390/w13040488
- Inventory of geo-hydrological phenomena in Genova municipality (NW Italy) G. Paliaga et al. 10.1080/17445647.2018.1535454
- Dynamic rainfall thresholds for landslide early warning in Progo Catchment, Java, Indonesia R. Satyaningsih et al. 10.1007/s11069-023-06208-2
- Assessing global parameters of slope stability model using Earth data observations for forecasting rainfall – induced shallow landslides J. Thomas et al. 10.1016/j.jappgeo.2023.104994
- Heavy Rainfall Triggering Shallow Landslides: A Susceptibility Assessment by a GIS-Approach in a Ligurian Apennine Catchment (Italy) A. Roccati et al. 10.3390/w11030605
- Coexistence of a Marginal Mountain Community with Large-Scale and Low Kinematic Landslide: The Intensive Monitoring Approach D. Godone et al. 10.3390/rs15133238
- Semi-automatic mapping of shallow landslides using free Sentinel-2 images and Google Earth Engine D. Notti et al. 10.5194/nhess-23-2625-2023
- Eighty Years of Data Collected for the Determination of Rainfall Threshold Triggering Shallow Landslides and Mud-Debris Flows in the Alps F. Luino et al. 10.3390/w12010133
- Landslide precipitation thresholds in Rwanda J. Uwihirwe et al. 10.1007/s10346-020-01457-9
- Deriving rainfall thresholds for landsliding at the regional scale: daily and hourly resolutions, normalisation, and antecedent rainfall E. Leonarduzzi & P. Molnar 10.5194/nhess-20-2905-2020
- The Role of Soil Type in Triggering Shallow Landslides in the Alps (Lombardy, Northern Italy) F. Luino et al. 10.3390/land11081125
- Large-scale geomorphology of the Entella River floodplain (Italy) for coastal urban areas management A. Roccati et al. 10.1080/17445647.2020.1738281
- Shallow-landslide stability evaluation in loess areas according to the Revised Infinite Slope Model: a case study of the 7.25 Tianshui sliding-flow landslide events of 2013 in the southwest of the Loess Plateau, China J. Zhuang et al. 10.5194/nhess-24-2615-2024
- Umbrales de lluvia como detonante de movimientos en masa en el piedemonte de la cordillera Central en los Andes colombianos E. Aristizábal et al. 10.18273/revbol.v44n2-2022009
- A regional early warning model of geological hazards based on big data of real-time rainfall W. Zhao et al. 10.1007/s11069-023-05819-z
16 citations as recorded by crossref.
- Rainfall Threshold for Shallow Landslides Initiation and Analysis of Long-Term Rainfall Trends in a Mediterranean Area A. Roccati et al. 10.3390/atmos11121367
- Rainfall-Induced Shallow Landslide Detachment, Transit and Runout Susceptibility Mapping by Integrating Machine Learning Techniques and GIS-Based Approaches M. Di Napoli et al. 10.3390/w13040488
- Inventory of geo-hydrological phenomena in Genova municipality (NW Italy) G. Paliaga et al. 10.1080/17445647.2018.1535454
- Dynamic rainfall thresholds for landslide early warning in Progo Catchment, Java, Indonesia R. Satyaningsih et al. 10.1007/s11069-023-06208-2
- Assessing global parameters of slope stability model using Earth data observations for forecasting rainfall – induced shallow landslides J. Thomas et al. 10.1016/j.jappgeo.2023.104994
- Heavy Rainfall Triggering Shallow Landslides: A Susceptibility Assessment by a GIS-Approach in a Ligurian Apennine Catchment (Italy) A. Roccati et al. 10.3390/w11030605
- Coexistence of a Marginal Mountain Community with Large-Scale and Low Kinematic Landslide: The Intensive Monitoring Approach D. Godone et al. 10.3390/rs15133238
- Semi-automatic mapping of shallow landslides using free Sentinel-2 images and Google Earth Engine D. Notti et al. 10.5194/nhess-23-2625-2023
- Eighty Years of Data Collected for the Determination of Rainfall Threshold Triggering Shallow Landslides and Mud-Debris Flows in the Alps F. Luino et al. 10.3390/w12010133
- Landslide precipitation thresholds in Rwanda J. Uwihirwe et al. 10.1007/s10346-020-01457-9
- Deriving rainfall thresholds for landsliding at the regional scale: daily and hourly resolutions, normalisation, and antecedent rainfall E. Leonarduzzi & P. Molnar 10.5194/nhess-20-2905-2020
- The Role of Soil Type in Triggering Shallow Landslides in the Alps (Lombardy, Northern Italy) F. Luino et al. 10.3390/land11081125
- Large-scale geomorphology of the Entella River floodplain (Italy) for coastal urban areas management A. Roccati et al. 10.1080/17445647.2020.1738281
- Shallow-landslide stability evaluation in loess areas according to the Revised Infinite Slope Model: a case study of the 7.25 Tianshui sliding-flow landslide events of 2013 in the southwest of the Loess Plateau, China J. Zhuang et al. 10.5194/nhess-24-2615-2024
- Umbrales de lluvia como detonante de movimientos en masa en el piedemonte de la cordillera Central en los Andes colombianos E. Aristizábal et al. 10.18273/revbol.v44n2-2022009
- A regional early warning model of geological hazards based on big data of real-time rainfall W. Zhao et al. 10.1007/s11069-023-05819-z
Latest update: 20 Nov 2024
Short summary
Natural instability processes are very common. Almost every year, landslides, mud flows and debris flows in the Alpine and Apennine areas and flooding in the Po flood plain cause severe damage to structures and infrastructure and often claim human lives.
Geology researchers collect thousands of rain data and process them to try the most precise prediction about the triggering of superficial landslides in order to mitigate the risk and safeguard human goods and lives.
Natural instability processes are very common. Almost every year, landslides, mud flows and...
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