Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/3011
AuthorsDel Negro, C.* 
Fortuna, L.* 
Herault, A.* 
Vicari, A.* 
TitleSimulations of the 2004 lava flow at Etna volcano by the magflow cellular automata model
Issue Date2007
DOI10.1007/s00445-007-0168-8
URIhttp://hdl.handle.net/2122/3011
KeywordsLava Flow Simulation
Etna
Cellular Automata
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 
AbstractLava 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.
Appears in Collections:Papers Published / Papers in press

Files in This Item:
File Description SizeFormat 
Del Negro et al.pdfMain Article937.2 kBAdobe PDFView/Open
Del Negro et al..pdf684.61 kBAdobe PDFView/Open
Show full item record

Page view(s)

63
Last Week
0
Last month
0
checked on Jul 27, 2017

Download(s)

222
checked on Jul 27, 2017

Google ScholarTM

Check

Altmetric