Cellular automata are good candidates for modelling and simulating complex dynamical systems, whose evolution depends on the local interactions of their constituent parts. Many macroscopic phenomena have such features, but their complexity involves sometime the interaction of heterogeneous processes, whose composition is not immediate in a cellular automaton frame. Furthermore the managing of flows could be not trivial, because cellular automata and derived models as lattice-gas methods cannot always be applied successfully to macroscopic cases. We propose some empirical and practical rules for modelling some macroscopic phenomena with surface flows. An application to complex debris flows is exhibited together with the results of simulations of a real case.

Modelling surface flows for macroscopic phenomena by cellular automata: an application to debris flows.

IOVINE G;LUPIANO V;
2002

Abstract

Cellular automata are good candidates for modelling and simulating complex dynamical systems, whose evolution depends on the local interactions of their constituent parts. Many macroscopic phenomena have such features, but their complexity involves sometime the interaction of heterogeneous processes, whose composition is not immediate in a cellular automaton frame. Furthermore the managing of flows could be not trivial, because cellular automata and derived models as lattice-gas methods cannot always be applied successfully to macroscopic cases. We propose some empirical and practical rules for modelling some macroscopic phenomena with surface flows. An application to complex debris flows is exhibited together with the results of simulations of a real case.
2002
Istituto di Ricerca per la Protezione Idrogeologica - IRPI
Inglese
2493
304
314
http://link.springer.com/chapter/10.1007/3-540-45830-1_29
Sì, ma tipo non specificato
In: BANDINI S., CHOPARD B. & TOMASSINI M. (Eds.), ACRI 2002 (5th International Conference on Cellular Automata for Research and Industry), Geneva, 9-11 October 2002. LNCS (Lecture Notes in Computer Science - including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2493, 304-314. Springer-Verlag, Berlin Heidelberg. ISSN 0302-9743 (Print) 1611-3349 - Online ISBN: 978-3-540-44304-9 (Print) 978-3-540-45830-2 (Online), 3540443045. Impact Factor: 0.515 (2002) cfr. Journal Citation Reports®, Published by Thomson Reuters - ISI WoS SCImago SJR (2002) = 0,177- Subject Category: Computer Science (miscellaneous) Q1; Hardware and Architecture Q3; Theoretical Computer Science Q3 ISI WoS: 000187254200029 Scopus: 2-s2.0-43449127575 URL: http://link.springer.com/chapter/10.1007/3-540-45830-1_29 G-Scholar: http://link.springer.com/chapter/10.1007/3-540-45830-1_29 - http://scholar.google.it/scholar?oi=bibs&hl=it&cluster=5521074573382788371 Numero di citazioni = 3 al 21 ott. 2013 - fonte: G-Scholar Numero di citazioni = 2 al 21 ott. 2013 - fonte: WoS Numero di citazioni = 2 al 21 ott. 2013 - fonte: Scopus
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/20.500.14243/202863
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