Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/3690
AuthorsHerault, A.* 
Vicari, A.* 
Ciraudo, A.* 
Del Negro, C.* 
TitleForecasting Lava Flow Hazard during the 2006 Etna Eruption: Using the Magflow Cellular Automata Model
Issue Date2008
DOI10.1016/j.cageo.2007.10.008
URIhttp://hdl.handle.net/2122/3690
KeywordsLava Flow
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 
05. General::05.01. Computational geophysics::05.01.05. Algorithms and implementation 
AbstractThe MAGFLOW cellular automata model was able to fairly accurately reproduce the time of the lava flow advance during the 2006 Etna eruption leading to very plausible flow predictions. MAGFLOW is intended for use in emergency response situations during an eruption to quickly forecast the lava flow path over some time interval from the immediate future to a long-time forecast. Major discrepancies between the observed and simulated paths occurred in the early phase of the 2006 eruption due to an underestimation of the initial flow rate, and at the time of the overlapping with the 2004-2005 lava flow. Very good representations of the areas likely to be inundated by lava flows were obtained when we adopt a time-varying effusion rate and include the 2004-2005 lava flow field in the Digital Elevation Model (DEM) of topography.
Appears in Collections:Papers Published / Papers in press

Files in This Item:
File Description SizeFormat 
Vicari et al -CAGEO-D-06-00330R1- 21jan08.docMain Article111.5 kBMicrosoft WordView/Open
Show full item record

Page view(s)

66
Last Week
0
Last month
1
checked on Jul 27, 2017

Download(s)

385
checked on Jul 27, 2017

Google ScholarTM

Check

Altmetric