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Lava flow modelling of Pico de Bandama volcano (Gran Canaria, Canary Islands)

Authors: Rodríguez-González, A.; Aulinas, M.; Mossoux, Sophie; Pérez-Torrado, Francisco J.; Fernandez-Turiel, J. L.; Moreno-Medina, C.;

Lava flow modelling of Pico de Bandama volcano (Gran Canaria, Canary Islands)

Abstract

Lava flow emplacement modelling provides about possible future eruptions in a given area and helps, consequently, to better design volcanic hazards zonation maps. The open access plugin Quantum-Lava Hazard Assessment (Q-LavHA), integrated into a Geographic Information System (GIS), includes three different models, two probabilistic and one deterministic, for the simulation of lava flow emplacement and establishes the overlap degree with actual flows. Pico de Bandama volcano lava flow (1970 ± 70 AP) was modelled with Q-LavHA. A high degree of reliability between the model and the reality is obtained, even with the simplest probabilistic models. For a high degree of reliability in modelling ancient eruptions, a detailed palaeogeomorphological reconstruction of the relief prior to the eruption is essential. © 2019 Sociedad Geologica de Espana. All rights reserved.

Este trabajo ha sido financiado por el Cabildo de Gran Canaria, programa de Becas de Investigación Simón Benítez Padilla-2016 (referenciaCPH249/16). Este estudio se realizó en el marco de los Grupos de Investigación Consolidados GEOVOL (Gobierno de Canarias,ULPGC) y GEOPAM (Generalitat de Catalunya, 2017 SGR 1494).

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Country
Spain
Related Organizations
Keywords

Islas Canarias, modelado, Canary Islands, Gran Canaria, Modelado, Volcanic eruption, Lava flow, erupción volcánica, lava, Modelling

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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