SCIDDICA S4c is the latest hexagonal release of a family of Cellular Automata models for the simulation of flow-type landslides. It is able to simulate the erosion of the regolith along the flow path, besides branching and re-joining events of the flow masses. Dissipative effects are modelled in terms of not-exclusive velocity-dependent mechanisms, which allow to simulate even complex rheological behaviours. Moreover, it is able to manage the peculiar characteristics of rapid flows, and the effects of mass collisions, by guaranteeing mass conservation. In case of no dissipation, conservation of energy and momentum are also assured. Model calibration has been carried out through parallel Genetic Algorithms, by considering the May 1998 Curti-Sarno (Campania, Southern Italy) debris flow. A preliminary analysis has also been performed, aiming at evaluating the sensitivity of the model with respect to a sub-set of model parameters, the size of the cell, the orientation of the cellular space, and noise in input data. Calibration confirmed the reliability of the model in reproducing the considered case of study. Moreover, sensitivity analyses pointed out its robustness with respect to the considered factors, by highlighting their different weight in affecting the behaviour of the simulations.

A macroscopic collisional model for debris-flows simulation

IOVINE G;
2007

Abstract

SCIDDICA S4c is the latest hexagonal release of a family of Cellular Automata models for the simulation of flow-type landslides. It is able to simulate the erosion of the regolith along the flow path, besides branching and re-joining events of the flow masses. Dissipative effects are modelled in terms of not-exclusive velocity-dependent mechanisms, which allow to simulate even complex rheological behaviours. Moreover, it is able to manage the peculiar characteristics of rapid flows, and the effects of mass collisions, by guaranteeing mass conservation. In case of no dissipation, conservation of energy and momentum are also assured. Model calibration has been carried out through parallel Genetic Algorithms, by considering the May 1998 Curti-Sarno (Campania, Southern Italy) debris flow. A preliminary analysis has also been performed, aiming at evaluating the sensitivity of the model with respect to a sub-set of model parameters, the size of the cell, the orientation of the cellular space, and noise in input data. Calibration confirmed the reliability of the model in reproducing the considered case of study. Moreover, sensitivity analyses pointed out its robustness with respect to the considered factors, by highlighting their different weight in affecting the behaviour of the simulations.
2007
Istituto di Ricerca per la Protezione Idrogeologica - IRPI
Inglese
22
10
1417
1436
http://www.sciencedirect.com/science/article/pii/S1364815206002623
Sì, ma tipo non specificato
Parallel processing
Cellular automata
Modelling
Simulation
Calibration
Genetic algorithms
Sensitivity analysis
Debris flows
Sarno
Elsevier, ISSN 1364-8152. Impact Factor: 2.099 (2007) cfr. Journal Citation Reports®, Published by Thomson Reuters - ISI WoS ISI WoS: 000247403800005 Scopus: 2-s2.0-34147180578 SCImago SJR (2007) = 0.977 - Subject Category: Ecological Modeling: Q1, Environmental Science (miscellaneous): Q1 DOI: 10.1016/j.envsoft.2006.09.009 - URL: http://www.sciencedirect.com/science/article/pii/S1364815206002623 G-Scholar: http://www.sciencedirect.com/science/article/pii/S1364815206002623 - http://scholar.google.it/scholar?oi=bibs&hl=it&cluster=16070824694549692760 Numero di citazioni = 41 al 21 ott. 2013 - fonte: G-Scholar Numero di citazioni = 21 al 21 ott. 2013 - fonte: WoS Numero di citazioni = 26 al 21 ott. 2013 - fonte: Scopus Impact Factor: 3.476 (2012) cfr. Journal Citation Reports®, Published by Thomson Reuters - ISI WoS
4
info:eu-repo/semantics/article
262
Dambrosio, D; Iovine, G; Spataro, W; H, Miyamoto
01 Contributo su Rivista::01.01 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/51910
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