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http://hdl.handle.net/2122/7267
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) | Other Titles: | HAZARD MAPS WITH CELLULAR AUTOMATA | 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 | URL: | http://www.annalsofgeophysics.eu/index.php/annals/article/viewFile/5340/5474 | Keywords: | volcanic risk cellular automata Algorithms and implementation Statistical analysis Data processing |
Subject Classification: | 04. 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. |
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2011 Rongo et al AG 2011.pdf | Article | 2.52 MB | Adobe PDF | View/Open |
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