Q-LavHA: a Quantum GIS plugin to simulate lava flows: GeoRisk

Sophie Mossoux, Adelin Feltz, Sam Poppe, Frank Canters, Matthieu Kervyn De Meerendre

Onderzoeksoutput: Poster

Samenvatting

Q-LavHA (Quantum-Lava Hazard Assessment) is a Quantum GIS plugin which simulates lava flow propagation from one or multiple regularly distributed eruptive vents on a Digital Elevation Model (DEM). It combines existing probabilistic and 1D thermo-rheological deterministic (FLOWGO) models and proposes improvements in order to refine the probability of lava flow spatial spread and terminal length. The spatial spread is constrained by the steepest slope following the probabilistic approach of Felpeto et al. (2001). The corrective height factor which is included allows the lava flow simulation to overcome small topographical obstacles and to fill pits. The terminal length of the lava flow simulation can be determined based on a fixed length value, a Gaussian probability density function, or it can be calculated based on the thermo-rheological properties of a cooling open-channel lava flow following the approach of the FLOWGO model (Harris and Rowland, 2001).
Q-LavHA is designed for scientists and stakeholders confronted with imminent or long term lava flow hazard from basaltic volcanoes. Q-LavHA can improve their understanding of the spatial distribution of lava flow hazard, influence their land use decisions and support evacuation planning during a volcanic crisis. Because of the diversity of its uses, Q-LavHA has been developed in Python in order to allow users to adapt the code to their needs. Its availability as a Quantum GIS plugin with a user friendly interface facilitates its distribution and its use by the community.
To determine the ideal parameters for lava flow simulation, we calibrated Q-LavHA based on recent lava flows of the volcanoes Karthala (Comoros islands) and Nyamuragira (Democratic Republic of the Congo), both with an overall mafic and low-viscosity lava composition. The influence of the different input parameters on the quality of the simulations is discussed. Additionally, we discuss the influence of DEM resolutions used to realize the simulations.
REFERENCES:
Felpeto et al. (2001), Assessment and modelling of lava flow hazard on Lanzarote (Canary Islands), Nat. Hazards, 23, 247-257.
Harris and Rowland (2001), FLOWGO: a kinematic thermo-rheological model for lava flowing in a channel, Bull. Volcanol., 63, 20-44.
Originele taal-2English
StatusPublished - nov 2014

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