Di Maio, Rosa and Milano, Leopoldo (2009) Characteristic scales in landslide modelling. [Pubblicazione in rivista scientifica]
Il contenuto (Full text) non è disponibile all'interno di questo archivio.| Tipologia del documento: | Pubblicazione in rivista scientifica | ||||||
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| Lingua: | English | ||||||
| Titolo: | Characteristic scales in landslide modelling | ||||||
| Autori: |
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| Autore/i: | PIEGARI E., DI MAIO R., MILANO L. | ||||||
| Data: | 2009 | ||||||
| Numero di pagine: | 9 | ||||||
| Dipartimento: | Scienze fisiche | ||||||
| Titolo del periodico: | NONLINEAR PROCESSES IN GEOPHYSICS | ||||||
| Data: | 2009 | ||||||
| Volume: | 16 | ||||||
| Intervallo di pagine: | pp. 515-523 | ||||||
| Numero di pagine: | 9 | ||||||
| Parole chiave: | Cellular automaton, landslide monitoring, landslide magnitude scale | ||||||
| Depositato il: | 21 Ott 2010 06:57 | ||||||
| Ultima modifica: | 30 Apr 2014 19:43 | ||||||
| URI: | http://www.fedoa.unina.it/id/eprint/7583 |
Abstract
We studied a cellular automaton, able to reproduce the landslide frequency-size distributions from catalogues. From the comparison between our synthetic probability distribution and the landslide area probability distribution of three landslide inventories, we estimated the typical size of a single cell of our cellular automaton model to be from 35–100m2, which is important information if we are interested in monitoring a test area. To determine the probability of occurrence of a landslide of size s, we show that it is crucial to get information about the rate at which the system is approaching instability rather than the nature of the trigger. By varying such a driving rate, we find how the probability distribution changes and, in correspondence, how the size and the lifetime of the most probable events evolve. We also introduce a landslide-event magnitude scale based on the driving rate. Large values of the proposed intensity scale are related to landslide events with a fast approach to instability in a long distance of time, while small values are related to landslide events close together in time and approaching instability slowly.
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