Total grain size distribution of components of fallout deposits and implications for magma fragmentation mechanisms: examples from Campi Flegrei caldera (Italy)

2020 ◽  
Vol 82 (4) ◽  
Author(s):  
D. Mele ◽  
A. Costa ◽  
P. Dellino ◽  
R. Sulpizio ◽  
F. Dioguardi ◽  
...  
2014 ◽  
Vol 394 ◽  
pp. 124-134 ◽  
Author(s):  
Frédéric Girault ◽  
Guillaume Carazzo ◽  
Steve Tait ◽  
Fabrizio Ferrucci ◽  
Édouard Kaminski

2020 ◽  
Author(s):  
Alessandro Tadini ◽  
Andrea Bevilacqua ◽  
Augusto Neri ◽  
Raffaello Cioni ◽  
Giovanni Biagioli ◽  
...  

Abstract. In this study we use PyBox, a new numerical implementation of the box-model approach, to reproduce pyroclastic density current (PDC) deposits from the Somma-Vesuvius volcano (Italy). Our simplified model assumes inertial flow front dynamics and mass deposition equations, and axisymmetric conditions inside circular sectors. Tephra volume and density, and Total Grain Size Distribution of EU3pf and EU4b/c, two well-studied PDC units from different phases of the AD 79 Pompeii eruption of Somma-Vesuvius (Italy) are used as input parameters. Such units correspond to the deposits from variably dilute, turbulent PDCs. We perform a quantitative comparison and uncertainty quantification of numerical model outputs with respect to the observed data of unit thickness, inundation areas, and grain size distribution as a function of the radial distance to the source. The simulations that we performed with PyBox were done considering: (i) polydisperse conditions, given by the total grain size distribution of the deposit, or monodisperse conditions, given by the mean Sauter diameter of the deposit; (ii) round-angle axisymmetrical collapses or divided in two circular sectors. We obtain a range of plausible initial volume concentrations of solid particles from 2.5 % to 6 %, depending on the unit and the circular sector. Optimal modelling results of flow extent and deposit thickness are reached on the EU4b/c unit in a polydisperse and sectorialized situation, indicating that using total grain size distribution and particle densities as close as possible to the real conditions significantly improve the performance of the PyBox code. The study findings suggest that the box model simplified approaches adopted have promising applications in constraining the plausible range of the input parameters of more computationally expensive models.


2019 ◽  
Vol 81 (7) ◽  
Author(s):  
Sebastian B Mueller ◽  
Bruce F Houghton ◽  
Donald A Swanson ◽  
Matthieu Poret ◽  
Sarah A Fagents

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