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

Sophie Mossoux, Matthieu Kervyn De Meerendre, Sam Poppe, Stefania Bartolini, Frank Canters

Onderzoeksoutput: Poster


Q-LavHA is a user-friendly 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. The terminal length of the lava flow can be determined based on a fixed length value, a Gaussian probability density function, or based on the thermo-rheological properties of a cooling open-channel lava flow following the approach of the FLOWGO model (Harris and Rowland, 2001).
In this contribution, we present a sensitivity analysis of the Q-LavHA parameters on the quality of the simulations for specific flows at Etna, Karthala and Nyamuragira volcanoes. Additionally, we investigate the influence of the underlying slope and the DEM resolutions on the selection of optimal input parameters.
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. 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 use.
Originele taal-2English
StatusPublished - jun 2015
EvenementIUGG General Assembl 2015 - Prague, Czech Republic
Duur: 22 jun 20152 jul 2015


ConferenceIUGG General Assembl 2015
LandCzech Republic


Duik in de onderzoeksthema's van 'Q-LavHA: a Quantum GIS plugin to simulate lava flows: IUGG'. Samen vormen ze een unieke vingerafdruk.

Citeer dit