Evaluating lava flow hazard at Mount Etna (Italy) by a cellular automata based methodology

Authors:
Maria Vittoria Avolio;Donato D'Ambrosio;Valeria Lupiano;Rocco Rongo;William Spataro
Affiliations:
Department of Mathematics and High Performance Computing Center, University of Calabria, Italy;Department of Mathematics and High Performance Computing Center, University of Calabria, Italy;Department of Earth Sciences and High Performance Computing Center, University of Calabria, Italy;Department of Earth Sciences and High Performance Computing Center, University of Calabria, Italy;Department of Mathematics and High Performance Computing Center, University of Calabria, Italy and Department of Mathematics, University of Calabria, Rende, Italy
Venue:
PPAM'09 Proceedings of the 8th international conference on Parallel processing and applied mathematics: Part II
Year:
2009

Citing 5
Cited 0

On Incentives and Updating in Agent Based Models

Computational Economics
An empirical method for modelling and simulating some complex macroscopic phenomena by cellular automata

Future Generation Computer Systems - Special issue on cellular automata: promise in computational science
Theory of Self-Reproducing Automata

Theory of Self-Reproducing Automata
Lava Flow Hazard Evaluation Through Cellular Automata and Genetic Algorithms: an Application to Mt Etna Volcano

Fundamenta Informaticae - Membrane Computing
Training cellular automata for image processing

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

The individuation of areas that are more likely to be interested by lava eruptions is of fundamental relevance for mitigating possible consequences, both in terms of loss of human lives and material properties. Here we show a methodology for defining flexible high-detailed lava invasion susceptibility maps. It relies on both an adequate knowledge of the volcano, assessed by an accurate analysis of its past behaviour, a reliable Cellular Automata model for simulating lava flows on present topographic data and on High Performance Parallel Computing for increasing computational efficiency. The application of the methodology to the case of Mt Etna, the most active volcano in Europe, points out its usefulness in land use planning and Civil Defence applications.