Articles | Volume 12, issue 1
https://doi.org/10.5194/gmd-12-581-2019
https://doi.org/10.5194/gmd-12-581-2019
Model description paper
 | 
01 Feb 2019
Model description paper |  | 01 Feb 2019

IMEX_SfloW2D 1.0: a depth-averaged numerical flow model for pyroclastic avalanches

Mattia de' Michieli Vitturi, Tomaso Esposti Ongaro, Giacomo Lari, and Alvaro Aravena

Related authors

Lahar events in the last 2000 years from Vesuvius eruptions – Part 3: Hazard assessment over the Campanian Plain
Laura Sandri, Mattia de' Michieli Vitturi, Antonio Costa, Mauro Antonio Di Vito, Ilaria Rucco, Domenico Maria Doronzo, Marina Bisson, Roberto Gianardi, Sandro de Vita, and Roberto Sulpizio
Solid Earth, 15, 459–476, https://doi.org/10.5194/se-15-459-2024,https://doi.org/10.5194/se-15-459-2024, 2024
Short summary
Lahar events in the last 2000 years from Vesuvius eruptions – Part 2: Formulation and validation of a computational model based on a shallow layer approach
Mattia de' Michieli Vitturi, Antonio Costa, Mauro A. Di Vito, Laura Sandri, and Domenico M. Doronzo
Solid Earth, 15, 437–458, https://doi.org/10.5194/se-15-437-2024,https://doi.org/10.5194/se-15-437-2024, 2024
Short summary
Lahar events in the last 2000 years from Vesuvius eruptions – Part 1: Distribution and impact on densely inhabited territory estimated from field data analysis
Mauro Antonio Di Vito, Ilaria Rucco, Sandro de Vita, Domenico Maria Doronzo, Marina Bisson, Mattia de' Michieli Vitturi, Mauro Rosi, Laura Sandri, Giovanni Zanchetta, Elena Zanella, and Antonio Costa
Solid Earth, 15, 405–436, https://doi.org/10.5194/se-15-405-2024,https://doi.org/10.5194/se-15-405-2024, 2024
Short summary
IMEX_SfloW2D v2: a depth-averaged numerical flow model for volcanic gas–particle flows over complex topographies and water
Mattia de' Michieli Vitturi, Tomaso Esposti Ongaro, and Samantha Engwell
Geosci. Model Dev., 16, 6309–6336, https://doi.org/10.5194/gmd-16-6309-2023,https://doi.org/10.5194/gmd-16-6309-2023, 2023
Short summary
Lava flow hazard modeling during the 2021 Fagradalsfjall eruption, Iceland: applications of MrLavaLoba
Gro B. M. Pedersen, Melissa A. Pfeffer, Sara Barsotti, Simone Tarquini, Mattia de'Michieli Vitturi, Bergrún A. Óladóttir, and Ragnar Heiðar Þrastarson
Nat. Hazards Earth Syst. Sci., 23, 3147–3168, https://doi.org/10.5194/nhess-23-3147-2023,https://doi.org/10.5194/nhess-23-3147-2023, 2023
Short summary

Related subject area

Solid Earth
Empirical modeling of tropospheric delays with uncertainty
Jungang Wang, Junping Chen, and Yize Zhang
Geosci. Model Dev., 18, 1487–1504, https://doi.org/10.5194/gmd-18-1487-2025,https://doi.org/10.5194/gmd-18-1487-2025, 2025
Short summary
CitcomSVE-3.0: a three-dimensional finite-element software package for modeling load-induced deformation and glacial isostatic adjustment for an Earth with a viscoelastic and compressible mantle
Tao Yuan, Shijie Zhong, and Geruo A
Geosci. Model Dev., 18, 1445–1461, https://doi.org/10.5194/gmd-18-1445-2025,https://doi.org/10.5194/gmd-18-1445-2025, 2025
Short summary
NSOAS24: a new global marine gravity model derived from multi-satellite sea surface slopes
Shengjun Zhang, Xu Chen, Runsheng Zhou, and Yongjun Jia
Geosci. Model Dev., 18, 1221–1239, https://doi.org/10.5194/gmd-18-1221-2025,https://doi.org/10.5194/gmd-18-1221-2025, 2025
Short summary
GEOMAPLEARN 1.2: detecting structures from geological maps with machine learning – the case of geological folds
David Oakley, Christelle Loiselet, Thierry Coowar, Vincent Labbe, and Jean-Paul Callot
Geosci. Model Dev., 18, 939–960, https://doi.org/10.5194/gmd-18-939-2025,https://doi.org/10.5194/gmd-18-939-2025, 2025
Short summary
Accelerated pseudo-transient method for elastic, viscoelastic, and coupled hydromechanical problems with applications
Yury Alkhimenkov and Yury Y. Podladchikov
Geosci. Model Dev., 18, 563–583, https://doi.org/10.5194/gmd-18-563-2025,https://doi.org/10.5194/gmd-18-563-2025, 2025
Short summary

Cited articles

Andrianov, N.: Testing numerical schemes for the shallow water equations, Tech. rep., available at: https://github.com/nikolai-andrianov/CONSTRUCT/blob/master/testing_sw.pdf (last access: 30 January 2019), 2004. a
Andronico, D., Di Roberto, A., De Beni, E., Behncke, B., Antonella, B., Del Carlo, P., and Pompilio, M.: Pyroclastic density currents at Etna volcano, Italy: The 11 February 2014 case study, J. Volcanol. Geoth. Res., 357, 92–105, https://doi.org/10.1016/j.jvolgeores.2018.04.012, 2018. a, b
Ascher, U. M., Ruuth, S. J., and Spiteri, R. J.: Implicit-explicit Runge-Kutta methods for time-dependent partial differential equations, Appl. Numer. Math., 25, 151–167, 1997. a
Bartelt, P., Salm, L. B., and Gruberl, U.: Calculating dense-snow avalanche runout using a Voellmyfluid model with active/passive longitudinal straining, J. Glaciol., 45, 242–254, https://doi.org/10.3189/002214399793377301, 1999. a, b
Bartelt, P., Buser, O., Valero, C. V., and Bühler, Y.: Configurational energy and the formation of mixed flowing/powder snow and ice avalanches, Ann. Glaciol., 57, 179–188, https://doi.org/10.3189/2016aog71a464, 2016. a
Download
Short summary
Pyroclastic avalanches are a type of granular flow generated at active volcanoes by different mechanisms, including the collapse of steep pyroclastic deposits (e.g., scoria and ash cones) and fountaining during moderately explosive eruptions. We present IMEX_SfloW2D, a depth-averaged flow model describing the granular mixture as a single-phase granular fluid. Benchmark cases and preliminary application to the simulation of the 11 February pyroclastic avalanche at Mt. Etna (Italy) are shown.
Share