Please use this identifier to cite or link to this item:
Authors: Rongo, R.* 
Avolio, M. A.* 
Behncke, B.* 
D'Ambrosio, D.* 
Di Gregorio, S.* 
Lupiano, V.* 
Neri, M.* 
Spataro, W.* 
Crisci, G. M.* 
Title: Defining high-detail hazard maps by a cellular automata approach: application to Mount Etna (Italy)
Journal: Annals of Geophysics 
Series/Report no.: 5/54(2011)
Publisher: Istituto Nazionale di Geofisica e Vulcanologia
Issue Date: Dec-2011
DOI: 10.4401/ag-5340
Keywords: volcanic risk
cellular automata
Algorithms and implementation
Statistical analysis
Data processing
Subject Classification04. Solid Earth::04.01. Earth Interior::04.01.99. General or miscellaneous 
04. Solid Earth::04.04. Geology::04.04.99. General or miscellaneous 
04. Solid Earth::04.08. Volcanology::04.08.99. General or miscellaneous 
04. Solid Earth::04.08. Volcanology::04.08.03. Magmas 
04. Solid Earth::04.08. Volcanology::04.08.06. Volcano monitoring 
04. Solid Earth::04.08. Volcanology::04.08.07. Instruments and techniques 
04. Solid Earth::04.08. Volcanology::04.08.08. Volcanic risk 
05. General::05.01. Computational geophysics::05.01.99. General or miscellaneous 
05. General::05.01. Computational geophysics::05.01.01. Data processing 
05. General::05.01. Computational geophysics::05.01.02. Cellular automata, fuzzy logic, genetic alghoritms, neural networks 
05. General::05.01. Computational geophysics::05.01.04. Statistical analysis 
05. General::05.02. Data dissemination::05.02.99. General or miscellaneous 
05. General::05.02. Data dissemination::05.02.03. Volcanic eruptions 
05. General::05.08. Risk::05.08.99. General or miscellaneous 
Abstract: The individuation of areas that are more likely to be affected by new events in volcanic regions is of fundamental relevance for the mitigation of the possible consequences, both in terms of loss of human life and material properties. Here, we describe a methodology for defining flexible high-detail lava-hazard maps and a technique for the validation of the results obtained. The methodology relies on: (i) an accurate analysis of the past behavior of the volcano; (ii) a new version of the SCIARA model for lava-flow simulation (based on the macroscopic cellular automata paradigm); and (iii) high-performance parallel computing for increasing computational efficiency. The new release of the SCIARA model introduces a Bingham-like rheology as part of the minimization algorithm of the differences for the determination of outflows from a generic cell, and an improved approach to lava cooling. The method is here applied to Mount Etna, the most active volcano in Europe, and applications to landuse planning and hazard mitigation are presented.
Appears in Collections:Article published / in press

Files in This Item:
File Description SizeFormat
2011 Rongo et al AG 2011.pdfArticle2.52 MBAdobe PDFView/Open
Show full item record


checked on Feb 10, 2021

Page view(s) 10

checked on Feb 7, 2023

Download(s) 50

checked on Feb 7, 2023

Google ScholarTM