Articles | Volume 23, issue 6
https://doi.org/10.5194/nhess-23-2349-2023
© Author(s) 2023. 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-23-2349-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Jun 2023
Research article |
| 28 Jun 2023
| 28 Jun 2023
Accounting for the effect of forest and fragmentation in probabilistic rockfall hazard
Camilla Lanfranconi
CORRESPONDING AUTHOR
Dept. of Earth and Environmental Sciences – DISAT, Università degli studi di Milano – Bicocca, Milan 20126, Italy
Paolo Frattini
Dept. of Earth and Environmental Sciences – DISAT, Università degli studi di Milano – Bicocca, Milan 20126, Italy
Gianluca Sala
Dept. of Earth and Environmental Sciences – DISAT, Università degli studi di Milano – Bicocca, Milan 20126, Italy
Giuseppe Dattola
Dept. of Earth and Environmental Sciences – DISAT, Università degli studi di Milano – Bicocca, Milan 20126, Italy
Davide Bertolo
Struttura attività geologiche, Regione autonoma Valle d'Aosta,
Quart 11020, Italy
Juanjuan Sun
Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
Giovanni Battista Crosta
Dept. of Earth and Environmental Sciences – DISAT, Università degli studi di Milano – Bicocca, Milan 20126, Italy
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Alpine areas are undergoing the highest change temperature and rainfall intensity that are main rockfall triggering factors. This article proposes a new approach based on the frequency of meteorological variables to comprehend implication between climatic scenarios and rockfall events in the Dolomites. Several climate variables were considered and the outcomes reveal warming rates, reduction in icing and freeze-thaw cycles and anticipation of both starting of summer and of the winter ending.
Micol Fumagalli, Alberto Previati, Paolo Frattini, and Giovanni B. Crosta
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Revised manuscript accepted for NHESS
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Shallow landslides are mass movements of limited thickness, mainly triggered by extreme rainfalls, that can pose a serious risk to the population. This study uses statistical methods to analyse and simulate the relationship between shallow landslides and rainfalls, showing that in the studied area shallow landslides are modulated by rainfall but controlled by lithology. A new classification method considering the costs associated with a misclassification of the susceptibility is also proposed.
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Short summary
This paper presents a study on rockfall dynamics and hazard, examining the impact of the presence of trees along slope and block fragmentation. We compared rockfall simulations that explicitly model the presence of trees and fragmentation with a classical approach that accounts for these phenomena in model parameters (both the hazard and the kinetic energy change). We also used a non-parametric probabilistic rockfall hazard analysis method for hazard mapping.
This paper presents a study on rockfall dynamics and hazard, examining the impact of the...
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