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Department of Earth Sciences, University of Calabria, 87036 Rende, Italy
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- PublicationRestrictedPredicting the impact of lava flows at Mount Etna, Italy(2010-04-28)
; ; ; ; ; ; ; ; ; ;Crisci, G.; Department of Earth Sciences, University of Calabria, 87036 Rende, Italy ;Avolio, M. V.; Department of Mathematics, University of Calabria, 87036 Rende, Italy ;Behncke, B.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia ;D'Ambrosio, D.; Department of Mathematics, University of Calabria, 87036 Rende, Italy ;Di Gregorio, S.; Department of Mathematics, University of Calabria, 87036 Rende, Italy ;Lupiano, V.; Department of Earth Sciences, University of Calabria, 87036 Rende, Italy ;Neri, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia ;Romgo, R.; Department of Earth Sciences, University of Calabria, 87036 Rende, Italy ;Spataro, W.; High Performance Computing Centre, University of Calabria, 87036 Rende, Italy; ; ; ; ; ; ; ; Forecasting the time, nature, and impact of future eruptions is difficult at volcanoes such as Mount Etna, in Italy, where eruptions occur from the summit and on the flanks, affecting areas distant from each other. Nonetheless, the identification and quantification of areas at risk from new eruptions are fundamental for mitigating potential human casualties and material damage. Here, we present new results from the application of a methodology to define flexible high‐resolution lava invasion susceptibility maps based on a reliable computational model for simulating lava flows at Etna and on a validation procedure for assessing the correctness of susceptibility mapping in the study area. Furthermore, specific scenarios can be extracted at any time from the simulation database, for land use and civil defense planning in the long term, to quantify, in real time, the impact of an imminent eruption, and to assess the efficiency of protective measures.834 32 - PublicationRestrictedSusceptibility assessment of subaerial (and/or) subaqueous debris-flows in archaeological sites, using a cellular model(2015)
; ; ; ; ; ;Lupiano, V.; Università della Calabria ;Avolio, M. V.; Università della Calabria ;Anzidei, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione CNT, Roma, Italia ;Crisci, G. M.; Università della Calabria ;Di Gregorio, S.; Università della Calabria; ; ; ; ; ; ; ; ; ; ; ;Lollino, G.; Inst. for Geo-hydrological Protection, National Research Council (CNR) ;Giordan, D.; Inst. for Geo-hydrological Protection, National Research Council (CNR ;Monteanu, C.; Faculty of Geology and Geophysics, University of Bucharest ;Christaras, B.; Department of Geology, Aristotle University of Thessaloniki ;Yoshinori, I.; Geo Research Institute ;Margottini, C.; ISPRA-Inst. f. Env. Protection&Research, Geological Survey of Italy; ; ; ; ; This study analyzes landslide susceptibility for archaeological sites in the Albano lake and Nemi lake areas, both in subaerial and in submerged zones by simulations of SCIDDICA-SS2, a Cellular Automata (CA) model for subaerial, subaqueous, both subaerial-subaqueous debris/mud/granular flows. Successful applications of SCIDDICA-ss2 permitted to simulate past events for the Albano lake area. New numerical simulations allowed susceptibility evaluations for gravitational instability related to the abovementioned archaeological sites.144 21 - PublicationOpen AccessDefining high-detail hazard maps by a cellular automata approach: application to Mount Etna (Italy)(2011-12)
; ; ; ; ; ; ; ; ; ;Rongo, R.; Università della Calabria, Dipartimento di Scienze della Terra, Arcavacata di Rende (Cosenza), Italy ;Avolio, M. A.; Università della Calabria, Dipartimento di Matematica, Arcavacata di Rende (Cosenza), Italy ;Behncke, B.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia ;D'Ambrosio, D.; Università della Calabria, Dipartimento di Matematica, Arcavacata di Rende (Cosenza), Italy ;Di Gregorio, S.; Università della Calabria, Dipartimento di Matematica, Arcavacata di Rende (Cosenza), Italy ;Lupiano, V.; Università della Calabria, Dipartimento di Scienze della Terra, Arcavacata di Rende (Cosenza), Italy ;Neri, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia ;Spataro, W.; Università della Calabria, Dipartimento di Matematica, Arcavacata di Rende (Cosenza), Italy ;Crisci, G. M.; Università della Calabria, Dipartimento di Scienze della Terra, Arcavacata di Rende (Cosenza), Italy; ; ; ; ; ; ; ; 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.1501 243