PLUME-MoM 1.0: A new integral model of volcanic plumes based on the method of moments

Vitturi, Mattia de’ Michieli; Neri, Augusto; Barsotti, Sara

doi:10.5194/gmd-8-2447-2015

Cited by 39 publications

(41 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…6, the effect of particle size is visible only for windless conditions and particles in the millimetric range. This result is consistent with the works of Woods and Bursik (1991) de' Michieli Vitturi et al (2015) Pouget et al (2016), who found negligible variations of the column height with mean grain size in the range (-6 ≤ Φ ≤ 0). In contrast, because of a different assumption on the grain size distribution Fig.…”

Section: Effect Of Particle Size Variations On Heightsupporting

confidence: 95%

Uncertainties in volcanic plume modeling: A parametric study using FPLUME

Macedonio

Costa

Folch

2016

Journal of Volcanology and Geothermal Research

View full text Add to dashboard Cite

We carry out a parametric study in order to identify and quantify the effects of uncertainties on pivotal parameters controlling the dynamics of volcanic plumes. The study builds upon numerical simulations using FPLUME, an integral steady-state model based on the Buoyant Plume Theory generalized in order to account for volcanic processes (particle fallout and re-entrainment, water phase changes, effects of wind, etc). As reference cases for strong and weak plumes, we consider the cases defined during the IAVCEI Commission on tephra hazard modeling inter-comparison study (Costa et al., 2016). The parametric study quantifies the effect of typical uncertainties on total mass eruption rate, column height, mixture exit velocity, temperature and water content, and particle size. Moreover, a sensitivity study investigates the role of wind entrainment and intensity, atmospheric humidity, water phase changes, and particle fallout and re-entrainment. Results show that the leading-order parameters that control plume height are the mass eruption rate and the air entrainment coefficient, especially for weak plumes.This work was partially supported by the MED-SUV Project funded by the European Union (FP7 Grant Agreement n.308665). AC acknowledges a grant for visiting researchers of Earthquake Research Institute, Japan. The authors warmly thank the Guest Editors of JVGR Yujiro J. Suzuki (Univ. of Tokyo, Japan) for handling the paper and for the useful suggestions. Mattia de' Michieli Vitturi and Wim Degruyter are thanked for their constructive comments that have improved the manuscript.Peer ReviewedPostprint (author's final draft

show abstract

Section: Effect Of Particle Size Variations On Heightsupporting

confidence: 95%

Uncertainties in volcanic plume modeling: A parametric study using FPLUME

Macedonio

Costa

Folch

2016

Journal of Volcanology and Geothermal Research

View full text Add to dashboard Cite

show abstract

“…Another possible approach is the method of moments, in which the evolution of the moments of the grain size distribution is described. This has recently been applied in volcanology to integral plume models by de' Michieli Vitturi et al (2015). In the present work we opted for the classical discretization of the grain size distribution (see Neri et al, 2003).…”

Section: The Eulerian Model In "Mixture" Formulationmentioning

confidence: 99%

ASHEE-1.0: a compressible, equilibrium–Eulerian model for volcanic ash plumes

2016

View full text Add to dashboard Cite

Abstract.A new fluid-dynamic model is developed to numerically simulate the non-equilibrium dynamics of polydisperse gas-particle mixtures forming volcanic plumes. Starting from the three-dimensional N-phase Eulerian transport equations for a mixture of gases and solid dispersed particles, we adopt an asymptotic expansion strategy to derive a compressible version of the first-order non-equilibrium model, valid for low-concentration regimes (particle volume fraction less than 10 −3 ) and particle Stokes number (St -i.e., the ratio between relaxation time and flow characteristic time) not exceeding about 0.2. The new model, which is called ASHEE (ASH Equilibrium Eulerian), is significantly faster than the N-phase Eulerian model while retaining the capability to describe gas-particle non-equilibrium effects. Direct Numerical Simulation accurately reproduces the dynamics of isotropic, compressible turbulence in subsonic regimes. For gas-particle mixtures, it describes the main features of density fluctuations and the preferential concentration and clustering of particles by turbulence, thus verifying the model reliability and suitability for the numerical simulation of highReynolds number and high-temperature regimes in the presence of a dispersed phase. On the other hand, Large-Eddy Numerical Simulations of forced plumes are able to reproduce the averaged and instantaneous flow properties. In particular, the self-similar Gaussian radial profile and the development of large-scale coherent structures are reproduced, including the rate of turbulent mixing and entrainment of atmospheric air. Application to the Large-Eddy Simulation of the injection of the eruptive mixture in a stratified atmosphere describes some of the important features of turbulent volcanic plumes, including air entrainment, buoyancy reversal and maximum plume height. For very fine particles (St → 0, when non-equilibrium effects are negligible) the model reduces to the so-called dusty-gas model. However, coarse particles partially decouple from the gas phase within eddies (thus modifying the turbulent structure) and preferentially concentrate at the eddy periphery, eventually being lost from the plume margins due to the concurrent effect of gravity. By these mechanisms, gas-particle non-equilibrium processes are able to influence the large-scale behavior of volcanic plumes.

show abstract

“…Two types of model exist, one-dimensional integral models, which evaluate plume rise along a centre line, solving equations for conservation of mass, momentum and thermal energy along that line (e.g. Plumeria: Mastin [6]; PlumeRise: Woodhouse et al [49]; PlumeMom: de' Michieli Vitturi [53]), and 3D models, which account for more complex interactions between the rising plume and the atmosphere (e.g. ATHAM: Herzog et al [54]; ASHEE: Cerminara et al [55]).…”

Section: Insights From Modelling: Case Study 3-results From Sensitivimentioning

confidence: 99%

Investigating Source Conditions and Controlling Parameters of Explosive Eruptions: Some Experimental-Observational- Modelling Case Studies

Dioguardi¹,

Dürig²,

Engwell³

et al. 2016

Updates in Volcanology - From Volcano Modelling to Volcano Geology

View full text Add to dashboard Cite

Explosive volcanic eruptions are complex systems that can generate a variety of hazardous phenomena, for example, the injection of volcanic ash into the atmosphere or the generation of pyroclastic density currents. Explosive eruptions occur when a turbulent multiphase mixture, initially predominantly composedf of fragmented magma and gases, is injected from the volcanic vent into the atmosphere. For plume modelling purposes, a specific volcanic eruption scenario based on eruption type, style or magnitude is strictly linked to magmatic and vent conditions, despite the subsequent evolution of the plume being influenced by the interaction of the erupted material with the atmosphere. In this chapter, different methodologies for investigating eruptive source conditions and the subsequent evolution of the eruptive plumes are presented. The methodologies range from observational techniques to large-scale experiments and numerical models. Results confirm the relevance of measuring and observing source conditions, as such studies can improve predictions of the hazards of eruptive columns. The results also demonstrate the need for fundamental future research specifically tailored to answer some of the still open questions: the effect of unsteady flow conditions at the source on the eruptive column dynamics and the interaction between a convective plume and wind.

show abstract

PLUME-MoM 1.0: A new integral model of volcanic plumes based on the method of moments

Cited by 39 publications

References 39 publications

Uncertainties in volcanic plume modeling: A parametric study using FPLUME

Uncertainties in volcanic plume modeling: A parametric study using FPLUME

ASHEE-1.0: a compressible, equilibrium–Eulerian model for volcanic ash plumes

Investigating Source Conditions and Controlling Parameters of Explosive Eruptions: Some Experimental-Observational- Modelling Case Studies

Contact Info

Product

Resources

About