This paper develops a practical semi-quantitative methodology to assess the probability of failure of unstable rock blocks for different environments (mountain and coastal-marine) and scales of interest (small and medium-large scales). According to the presence and intensity of several causative factors, a rockfall Susceptibility Index to Failure (SIF) can be defined and assigned to each rockfall source point so as to generate weighted frequency runout maps and, therefore, obtain more reliable rockfall hazard and risk maps. A novel approach, implemented in a Matlab routine, is also proposed to determine the release activity of different rockfall source areas, with reference to specific elements at risk. Such information makes it possible to identify the most efficient locations for the installation of risk monitoring or mitigation systems. The proposed methods are applied to a case study in the northern coast of Sicily, Italy, where a susceptibility analysis is carried out in the QGIS environment by means of the QPROTO plugin (QGIS Predictive ROckfall TOol).
A Semi-quantitative Approach to Assess the Propensity of Rockfall Source Areas to Instability Based on the Susceptibility Index to Failure (SIF): the Case Study of Capo Calavà (Italy) / Napoli, MARIA LIA; Barbero, Monica; Castelli, Francesco; Castelli, Marta; Lentini, Valentina. - ELETTRONICO. - (2023), pp. 715-723. (Intervento presentato al convegno VIII Convegno Nazionale dei Ricercatori di Ingegneria Geotecnica (CNRIG'23) tenutosi a Palermo nel 5-7 July 2023) [10.1007/978-3-031-34761-0_86].
A Semi-quantitative Approach to Assess the Propensity of Rockfall Source Areas to Instability Based on the Susceptibility Index to Failure (SIF): the Case Study of Capo Calavà (Italy)
Maria Lia Napoli;Monica Barbero;Marta Castelli;
2023
Abstract
This paper develops a practical semi-quantitative methodology to assess the probability of failure of unstable rock blocks for different environments (mountain and coastal-marine) and scales of interest (small and medium-large scales). According to the presence and intensity of several causative factors, a rockfall Susceptibility Index to Failure (SIF) can be defined and assigned to each rockfall source point so as to generate weighted frequency runout maps and, therefore, obtain more reliable rockfall hazard and risk maps. A novel approach, implemented in a Matlab routine, is also proposed to determine the release activity of different rockfall source areas, with reference to specific elements at risk. Such information makes it possible to identify the most efficient locations for the installation of risk monitoring or mitigation systems. The proposed methods are applied to a case study in the northern coast of Sicily, Italy, where a susceptibility analysis is carried out in the QGIS environment by means of the QPROTO plugin (QGIS Predictive ROckfall TOol).File | Dimensione | Formato | |
---|---|---|---|
Napoli_et_al2023_CNRIG23.pdf
non disponibili
Descrizione: Manuscript
Tipologia:
2a Post-print versione editoriale / Version of Record
Licenza:
Non Pubblico - Accesso privato/ristretto
Dimensione
3.04 MB
Formato
Adobe PDF
|
3.04 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
NapoliEtAl_2023_CNRIGAcceptedManuscript.pdf
Open Access dal 18/06/2024
Descrizione: Accepted Manuscript
Tipologia:
2. Post-print / Author's Accepted Manuscript
Licenza:
PUBBLICO - Tutti i diritti riservati
Dimensione
1.25 MB
Formato
Adobe PDF
|
1.25 MB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/2979468