Title
Sensitivity analysis of the MAGFLOW Cellular Automaton model for lava flow simulation
Abstract
MAGFLOW is a physics-based numerical model for lava flow simulations based on the Cellular Automaton approach that has been successfully used to predict the lava flow paths during the recent eruptions on Mt Etna. We carried out an extensive sensitivity analysis of the physical and rheological parameters that control the evolution function of the automaton and which are measured during eruptive events, in an effort to verify the reliability of the model and improve its applicability to scenario forecasting. The results obtained, which include Sobol' sensitivity indices computed using polynomial chaos expansion, confirm the consistency of MAGFLOW with the underlying physical model and identify water content and solidus temperature as critical parameters for the automaton. Additional tests also indicate that flux rates can have a strong influence on the emplacement of lava flows, and that to obtain more accurate simulations it is better to have continuous monitoring of the effusion rates, even if with moderate errors, rather than sparse accurate measurements.
Year
DOI
Venue
2012
10.1016/j.envsoft.2012.02.015
Environmental Modelling and Software
Keywords
Field
DocType
magflow model,sensitivity index,underlying physical model,polynomial chaos,sparse accurate measurement,forecasting,physics-based numerical model,magflow cellular automaton model,lava flow,hazard,sobol' indices,extensive sensitivity analysis,49q12,anova,accurate simulation,90c31,lava flow simulation,cellular automaton approach,93b35,sensitivity analysis,lava flow path
Cellular automaton,Hydrology,Computer science,Solidus,Automaton,Polynomial chaos,Continuous monitoring,Flux,Sobol sequence,Lava
Journal
Volume
Issue
ISSN
35
C
1364-8152
Citations 
PageRank 
References 
5
0.52
15
Authors
6
Name
Order
Citations
PageRank
Giuseppe Bilotta153.22
Annalisa Cappello253.90
Alexis Hérault3224.40
Annamaria Vicari4223.39
Giovanni Russo511018.97
Ciro Del Negro6397.14