Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/3689
Authors: Vicari, A.* 
Herault, A.* 
Del Negro, C.* 
Coltelli, M.* 
Marsella, M.* 
Proietti, C.* 
Title: Modelling of the 2001 Lava Flow at Etna Volcano by a Cellular Automata Approach
Journal: Environmental Modelling & Software 
Series/Report no.: /22 (2007)
Publisher: Elsevier
Issue Date: 2007
DOI: 10.1016/j.envsoft.2006.10.005
URL: http://www.elsevier.com/locate/envsoft
Keywords: Lava Flow Simulation
Etna Volcano
Subject Classification04. Solid Earth::04.08. Volcanology::04.08.08. Volcanic risk 
05. General::05.01. Computational geophysics::05.01.02. Cellular automata, fuzzy logic, genetic alghoritms, neural networks 
Abstract: The 2D Cellular Automata model, MAGFLOW, simulates lava flows and an algorithm based on the Monte Carlo approach solves the anisotropic flow direction problem. The model was applied to reproduce a lava flow formed during the 2001 Etna eruption. This eruption provided the opportunity to verify the ability of MAGFLOW to simulate the path of lava flows. made possible due to the availability of the necessary data for both modeling and subsequent validation. MAGFLOW reproduced quite accurately the spread of flow. A good agreement was highlighted between the simulated and observed length on steep slopes, whereas the area covered by the lava flow tends to be overestimated. The major inconsistencies found in the comparison between simulated and observed lava flow due to neglecting the effects of ephemeral vent formation.
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