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A Cellular “Blocks” Model for Large Surface Flows and Applications to Lava Flows

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Cellular Automata (ACRI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3305))

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Abstract

A Cellular Automata methodological approach for modelling large scale (extended for kilometres) surface flows (e.g. lava flows, debris flows etc.) is here presented. It represents an improvement to previous empirical approaches, in order to obtain a more physical description of the phenomenon and a more accurate control of its development. The flows are described as interacting “blocks” individuated by their mass centre position and velocity inside each cell. Such an approach was applied to lava flows; an event of the last (2002) Etnean eruption was simulated with relevant results.

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References

  1. Frisch, U., D’Humieres, D., Hasslacher, B., Lallemand, P., Pomeau, Y., Rivet, J.P.: Lattice gas hydrodynamics in two and three dimensions. Complex Systems 1, 649–707 (1990)

    MathSciNet  Google Scholar 

  2. Chopard, B., Luthi, P.O.: Lattice Boltzmann Computations and Application to Physics. Theoretical Computer Science 217, 115–130 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  3. Succi, S.: The Lattice Boltzmann Equation for Fluid Dynamics and Beyond. Oxford University Press, Oxford (2001)

    MATH  Google Scholar 

  4. Crisci, G.M., Di Gregorio, S., Pindaro, O., Ranieri, S.A.: Lava flow simulation by a discrete cellular model: first implementation. Int. J. of Modelling and Simulation 6, 137–140 (1986)

    Google Scholar 

  5. Barca, D., Crisci, G.M., Di Gregorio, S., Nicoletta, F.: Cellular Automata for simulating lava flows: a method and examples of the Etnean eruptions. Transport Theory and Statistical Physics 23(13), 195–232 (1994)

    Article  Google Scholar 

  6. 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)

    Article  Google Scholar 

  7. Di Gregorio, S., Rongo, R., Siciliano, C., Sorriso-Valvo, M., Spataro, W.: Mount Ontake landslide simulation by the cellular automata model SCIDDICA-3. Physics and Chemistry of the Earth (A) 24, 97–100 (1999)

    Article  Google Scholar 

  8. Avolio, M.V., Di Gregorio, S., Mantovani, F., Pasuto, A., Rongo, R., Silvano, S., Spataro, W.: Simulation of the 1992 Tessina landslide by a cellular automata model and future hazard scenarios. JAG (International Journal of Applied Earth Observation and Geoinformatics) 21, 41–50 (2000)

    Article  Google Scholar 

  9. D’Ambrosio, D., Di Gregorio, S., Iovine, G.: Simulating debris flows through a hexagonal cellular automata model: SCIDDICA S3 − hex. Natural Hazards and Earth System Sciences 3, 545–559 (2003)

    Article  Google Scholar 

  10. 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, EGS, B 26(1), 33–39 (2001)

    Google Scholar 

  11. Worsch, T.: Simulation of Cellular Automata. Future Generation Computer Systems 16, 157–170 (1999)

    Article  Google Scholar 

  12. McBirney, A.R., Murase, T.: Rheological properties of magmas. Annual Review on Earth and Planetary Sciences 12, 337–357 (1984)

    Article  Google Scholar 

  13. Crisci, G.M., Di Gregorio, S., Rongo, R.M., Spataro, W.: The simulation model SCIARA: the 1991 and 2001 lava flows at Mount Etna. Journal of Volcanology and Geothermal Research 132(2-3), 253–267 (2004)

    Article  Google Scholar 

  14. Young, P., Wadge, G.: Flowfront: simulation of a lava flow. Computer & Geosciences 16(8), 1171–1191 (1990)

    Article  Google Scholar 

  15. Miyamoto, H., Sasaki, S.: Simulating lava flows by an improved cellular automata method. Computers & Geosciences 23(3), 283–292 (1997)

    Article  Google Scholar 

  16. Kilburn, C.R.J., Lopes, R.M.C.: General patterns of flow field growth: aa and blocky lavas. Journal of Geophysical Research 96(19), 721–732 (1991)

    Google Scholar 

  17. Calvari, S.: Personal Communication (2003)

    Google Scholar 

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© 2004 Springer-Verlag Berlin Heidelberg

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Avolio, M.V., Di Gregorio, S. (2004). A Cellular “Blocks” Model for Large Surface Flows and Applications to Lava Flows. In: Sloot, P.M.A., Chopard, B., Hoekstra, A.G. (eds) Cellular Automata. ACRI 2004. Lecture Notes in Computer Science, vol 3305. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30479-1_43

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  • DOI: https://doi.org/10.1007/978-3-540-30479-1_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23596-5

  • Online ISBN: 978-3-540-30479-1

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