Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/10907
Authors: Del Bello, Elisabetta* 
Taddeucci, Jacopo* 
de' Michieli Vitturi, Mattia* 
Scarlato, Piergiorgio* 
Andronico, Daniele* 
Scollo, Simona* 
Kueppers, Ulrich* 
Ricci, Tullio* 
Title: Effect of particle volume fraction on the settling velocity of volcanic ash particles: insights from joint experimental and numerical simulations
Issue Date: 3-Jan-2017
Series/Report no.: /6(2017)
DOI: 10.1038/srep39620
URI: http://hdl.handle.net/2122/10907
Abstract: Most of the current ash transport and dispersion models neglect particle-fluid (two-way) and particle-fluid plus particle-particle (four-way) reciprocal interactions during particle fallout from volcanic plumes. These interactions, a function of particle concentration in the plume, could play an important role, explaining, for example, discrepancies between observed and modelled ash deposits. Aiming at a more accurate prediction of volcanic ash dispersal and sedimentation, the settling of ash particles at particle volume fractions (ϕp) ranging 10-7-10-3was performed in laboratory experiments and reproduced by numerical simulations that take into account first the two-way and then the four-way coupling. Results show that the velocity of particles settling together can exceed the velocity of particles settling individually by up to 4 times for ϕp ~ 10-3. Comparisons between experimental and simulation results reveal that, during the sedimentation process, the settling velocity is largely enhanced by particle-fluid interactions but partly hindered by particle-particle interactions with increasing ϕp. Combining the experimental and numerical results, we provide an empirical model allowing correction of the settling velocity of particles of any size, density, and shape, as a function of ϕp. These corrections will impact volcanic plume modelling results as well as remote sensing retrieval techniques for plume parameters.
Appears in Collections:Papers Published / Papers in press

Files in This Item:
File Description SizeFormat 
DelBelloetal_2017.pdf1.22 MBAdobe PDFView/Open
Show full item record

Page view(s)

25
checked on Jun 21, 2018

Download(s)

5
checked on Jun 21, 2018

Google ScholarTM

Check

Altmetric