Abstract
Macroscopic Cellular Automata characterize a methodological approach for modelling large scale (extended for kilometres) complex acentric phenomena, e.g. surface flows as lava flows, debris flows etc.. This paper concerns the extension of such a method in order to simulate combined subaerial-subaqueous flow-like landslides. The occurrence of heterogeneous interacting processes requires a more physical description of the energy balance and an explicit velocity management. The model SCIDDICA-SS2 proposes some empirical solutions, such as the computation at each step and inside each cell, of departing flows which are characterized by their mass centre position and velocity. An application to combined subaerial-subaqueous landslide is exhibited together with simulation results of the 1997 Albano lake (Rome, Italy) debris flow.
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References
Di Gregorio, S., Serra, R.: An empirical method for modelling and simulating some complex macroscopic phenomena by cellular automata. Future Generation Computer Systems 16, 259–271 (1999)
D’Ambrosio, D., Di Gregorio, S., Gabriele, S., Gaudio, R.: A cellular automata model for soil erosion by water. Physics and Chemistry of the Earth - Part B 26, 33–39 (2001)
Avolio, M.V., Crisci, G.M., Di Gregorio, S., Rongo, R., Spataro, W., Trunfio, G.A.: SCIARA γ2: an improved cellular automata model for lava flows and applications to the 2002 Etnean crisis. Computers & Geosciences 32, 897–911 (2006)
Mazzanti, P., Bozzano, F., Esposito, C.: Submerged landslides morphologies in the Albano lake (Rome, Italy). In: Lykousis, V., Sakellariou, J.L.D. (eds.) Proc. of 3rd Intern. Symp. Submarine Mass Movements and Their Consequences, Lugano, Switzerland, 2007. Advances in Natural and Technological Hazards Research, vol. 27, pp. 243–250. Springer, Heidelberg (2007)
Di Gregorio, S., Nicoletta, F., Rongo, R., Sorriso-Valvo, M., Spezzano, G., Talia, D.: Landslide simulation by cellular automata in a parallel environment. In: Furnari, M.M. (ed.) Proceedings of 2nd International Workshop Massive Parallelism: Hardware, Software and Applications, pp. 392–407. World Scientific, Singapore (1995)
Di Gregorio, S., Rongo, R., Siciliano, C., Sorriso-Valvo, M., Spataro, W.: Mt. Ontake landslide simulation by the cellular automata model SCIDDICA-3. Physics and Chemistry of the Earth 24, 97–100 (1999)
Avolio, M.V., Di Gregorio, S., Mantovani, F., Pasuto, A., Rongo, R., Silvano, S., Spataro, W.: Simulation of 1992 Tessina landslide by a cellular automata model and future hazard scenarios. JAG 2, 41–50 (2000)
D’Ambrosio, D., Di Gregorio, S., Iovine, G.: Simulating debris flows through a hexagonal cellular automata model: SCIDDICA S3-hex. NHESS 3, 545–559 (2003)
Iovine, G., D’Ambrosio, D., Di Gregorio, S.: Applying genetic algorithms for calibrating a hexagonal cellular automata model for the simulation of debris flows characterised by strong inertial effects. Geomorphology 66, 287–303 (2005)
Segre, E., Deangeli, C.: Cellular automaton for realistic modelling of landslides. Nonlinear Processes in Geophysics 2, 1–15 (1995)
Clerici, A., Perego, S.: Simulation of the Parma river blockage by the Corniglio landslide (Northern Italy). Geomorphology 33, 1–23 (2000)
Salles, T., Lopez, S., Cacas, M.C., Mulder, T.: Cellular automata model of density currents. Geomorphology 88, 1–20 (2007)
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Avolio, M.V., Lupiano, V., Mazzanti, P., Di Gregorio, S. (2008). Modelling Combined Subaerial-Subaqueous Flow-Like Landslides by Cellular Automata. In: Umeo, H., Morishita, S., Nishinari, K., Komatsuzaki, T., Bandini, S. (eds) Cellular Automata. ACRI 2008. Lecture Notes in Computer Science, vol 5191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79992-4_42
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DOI: https://doi.org/10.1007/978-3-540-79992-4_42
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