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SCIDDICA-SS3: a new version of cellular automata model for simulating fast moving landslides

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Abstract

Cellular Automata (CA) are discrete and parallel computational models useful for simulating dynamic systems that evolve on the basis on local interactions. Some natural events, such as some types of landslides, fall into this type of phenomena and lend themselves well to be simulated with this approach. This paper describes the latest version of the SCIDDICA CA family models, specifically developed to simulate debris-flows type landslides. The latest model of the family, named SCIDDICA-SS3, inherits all the features of its predecessor, SCIDDICA-SS2, with the addition of a particular strategy to manage momentum. The introduction of the latter permits a better approximation of inertial effects that characterize some rapid debris flows. First simulations attempts of real landslides with SCIDDICA-SS3 have produced quite satisfactory results, comparable with the previous model.

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Acknowledgements

This research was funded by the Italian Instruction, University and Research Ministry (MIUR), PON Project No. 01_01503 “Integrated Systems for Hydrogeological Risk Monitoring, Early Warning and Mitigation Along the Main Lifelines”, CUP B31H11000370005.

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Authors and Affiliations

  1. Department of Mathematics, University of Calabria, Rende (CS), Italy

    Maria Vittoria Avolio & Salvatore Di Gregorio

  2. Department of Earth Sciences, University of Calabria, Rende (CS), Italy

    Valeria Lupiano

  3. NHAZCA S.r.l. and Department of Earth Sciences, University of Rome “La Sapienza”, Rome, Italy

    Paolo Mazzanti

Authors
  1. Maria Vittoria Avolio
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  2. Salvatore Di Gregorio
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  3. Valeria Lupiano
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  4. Paolo Mazzanti
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Correspondence to Maria Vittoria Avolio.

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Avolio, M.V., Di Gregorio, S., Lupiano, V. et al. SCIDDICA-SS3: a new version of cellular automata model for simulating fast moving landslides. J Supercomput 65, 682–696 (2013). https://doi.org/10.1007/s11227-013-0948-1

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  • DOI: https://doi.org/10.1007/s11227-013-0948-1

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