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  5. Simulations of the 2004 lava flow at Etna volcano by the magflow cellular automata model
 
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Simulations of the 2004 lava flow at Etna volcano by the magflow cellular automata model

Author(s)
Del Negro, C.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Fortuna, L.  
DIEES - Università di Catania  
Herault, A.  
Universitè di Marnee la Vallee  
Vicari, A.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Language
English
Obiettivo Specifico
4.3. TTC - Scenari di pericolosità vulcanica
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
Bulletin of Volcanology  
Pages (printed)
On line First
Date Issued
2007
DOI
10.1007/s00445-007-0168-8
Alternative Location
http://hdl.handle.net/2122/2627
URI
https://www.earth-prints.org/handle/2122/3011
Subjects
04. 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  
Subjects

Lava Flow Simulation

Etna

Cellular Automata

Abstract
Lava flows represent a challenge for physically based modeling, since the mechanical properties of lava change over time. This change is ruled by a temperature field, which needs to be modeled. MAGFLOW Cellular Automata (CA) model was developed for physically based simulations of lava flows in near real-time. We introduced an algorithm based on the Monte Carlo approach to solve the anisotropic problem. As transition rule of CA, a steady state solution of Navier-Stokes equations was adopted in the case of isothermal laminar pressure-driven Bingham fluid. For the cooling mechanism, we consider the radiative heat loss only from the surface of the flow, and the change of the temperature due to mixture of lavas between cells with different temperatures. The model was applied to reproduce a real lava flow occurred during the 2004-2005 Etna eruption. The simulations were computed using three different empirical relationships between viscosity and temperature.
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