Cellular Automata (CA) can be efficiently applied in the simulation of complex natural processes. They represent an alternative approach to classical methods based on the resolution of differential equations. In this paper, the general frame and the latest developments of the Cellular Automata model SCIDDICA (Simulation through Computational Innovative methods for the Detection of Debris flow path using Interactive Cellular Automata) for simulating debris-flow phenomena are presented. Landslides characterised by a dominant flow-type (e.g. earth flows, debris flows, debris avalanches) can be considered as dynamical systems, subdivided into elementary parts that evolve, exclusively, as a consequence of local interactions. In SCIDDICA, space and time are discrete: in particular, the space in which the phenomenon evolves is represented by square cells, whose states describe the considered physical characteristics; time is implicit in the steps of model computation. The peculiarities of the structure permitted to extend SCIDDICA first release, in order to progressively account for more complex phenomenological aspects of the considered landslides. In this paper, examples of application of SCIDDICA to three real landslide events are presented. After briefly describing earlier simulations of the 1992 Tessina (Italy) earth flow and of the 1984 Mt. Ontake (Japan) debris avalanche, first attempts at modelling a debris flow that occurred in 1998 at Sarno (Italy) are discussed. The model has been validated through the reconstruction of the initial topographic and geomorphological conditions of a selected, typical phenomenon (which occurred at Chiappe di Sarno–Curti, on May 1998), and by successively comparing the simulation results with the actually observed debris-flow path. Even though improvements to the algorithms are still needed, and further testing of parameters on a more representative sample of phenomena desirable, first simulations of the Curti landslide have demonstrated the reliability of SCIDDICA in the assessment of debris-flow susceptibility.

First simulations of the Sarno debris flows through cellular automata modelling

IOVINE G;LUPIANO V;
2003

Abstract

Cellular Automata (CA) can be efficiently applied in the simulation of complex natural processes. They represent an alternative approach to classical methods based on the resolution of differential equations. In this paper, the general frame and the latest developments of the Cellular Automata model SCIDDICA (Simulation through Computational Innovative methods for the Detection of Debris flow path using Interactive Cellular Automata) for simulating debris-flow phenomena are presented. Landslides characterised by a dominant flow-type (e.g. earth flows, debris flows, debris avalanches) can be considered as dynamical systems, subdivided into elementary parts that evolve, exclusively, as a consequence of local interactions. In SCIDDICA, space and time are discrete: in particular, the space in which the phenomenon evolves is represented by square cells, whose states describe the considered physical characteristics; time is implicit in the steps of model computation. The peculiarities of the structure permitted to extend SCIDDICA first release, in order to progressively account for more complex phenomenological aspects of the considered landslides. In this paper, examples of application of SCIDDICA to three real landslide events are presented. After briefly describing earlier simulations of the 1992 Tessina (Italy) earth flow and of the 1984 Mt. Ontake (Japan) debris avalanche, first attempts at modelling a debris flow that occurred in 1998 at Sarno (Italy) are discussed. The model has been validated through the reconstruction of the initial topographic and geomorphological conditions of a selected, typical phenomenon (which occurred at Chiappe di Sarno–Curti, on May 1998), and by successively comparing the simulation results with the actually observed debris-flow path. Even though improvements to the algorithms are still needed, and further testing of parameters on a more representative sample of phenomena desirable, first simulations of the Curti landslide have demonstrated the reliability of SCIDDICA in the assessment of debris-flow susceptibility.
2003
Istituto di Ricerca per la Protezione Idrogeologica - IRPI
Inglese
54
1-2
91
117
http://www.sciencedirect.com/science/article/pii/S0169555X03000588
Sì, ma tipo non specificato
debris flow
simulation
modelling
cellular automata
susceptibility
Il modello può essere utilizzato sia su calcolatori sequenziali (per valutazioni speditive e preliminari), sia in ambiente parallelo (per una calibratura più accurata e per fini previsionali), al fine di valutare la suscettibilità del territorio. Elsevier, ISSN: 0169-555X. Impact Factor: 1.306 (2003) cfr. Journal Citation Reports®, Published by Thomson Reuters - ISI WoS ISI WoS: 000185055400010 Scopus: 2-s2.0-0043037243 SCImago SJR (2003) = 0,851 - Subject Category: Earth-Surface Processes: Q2 DOI: 10.1016/S0169-555X(03)00058-8 - URL: http://www.sciencedirect.com/science/article/pii/S0169555X03000588 G-Scholar: http://www.sciencedirect.com/science/article/pii/S0169555X03000588 - http://scholar.google.it/scholar?oi=bibs&hl=it&cluster=4060308284947307177 Numero di citazioni = 55 al 21 ott. 2013 - fonte: G-Scholar Numero di citazioni = 26 al 21 ott. 2013 - fonte: WoS Numero di citazioni = 41 al 21 ott. 2013 - fonte: Scopus Impact Factor: 2.552 (2012) cfr. Journal Citation Reports®, Published by Thomson Reuters - ISI WoS SCImago SJR (2012) = 1,292 - Subject Category: Earth-Surface Processes: Q1
6
info:eu-repo/semantics/article
262
D'Ambrosio, D; DI GREGORIO, S; Iovine, G; Lupiano, V; Rongo, R; Spataro, W
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/20.500.14243/51819
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