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  5. FPLUME-1.0: An integrated volcanic plume model accounting for ash aggregation
 
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FPLUME-1.0: An integrated volcanic plume model accounting for ash aggregation

Author(s)
Folch, A.  
CASE Department, Barcelona Supercomputing Center, Barcelona, Spain  
Costa, A.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italia  
Macedonio, G.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italia  
Language
English
Obiettivo Specifico
3V. Dinamiche e scenari eruttivi
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
Geoscientific Model Development  
Issue/vol(year)
/9 (2016)
ISSN
1991-959X
Electronic ISSN
1991-9603
Publisher
Copernicus Gesellschaft GMBH
Pages (printed)
431-450
Date Issued
2016
DOI
10.5194/gmd-9-431-2016
URI
https://www.earth-prints.org/handle/2122/10283
Subjects
05. General::05.01. Computational geophysics::05.01.99. General or miscellaneous  
Subjects

eruption column

volcanic modeling

Abstract
Eruption source parameters (ESP) characterizing
volcanic eruption plumes are crucial inputs for atmospheric
tephra dispersal models, used for hazard assessment and
risk mitigation.We present FPLUME-1.0, a steady-state 1-D
(one-dimensional) cross-section-averaged eruption column
model based on the buoyant plume theory (BPT). The model
accounts for plume bending by wind, entrainment of ambient
moisture, effects of water phase changes, particle fallout and
re-entrainment, a new parameterization for the air entrainment
coefficients and a model for wet aggregation of ash particles
in the presence of liquid water or ice. In the occurrence
of wet aggregation, the model predicts an effective grain size
distribution depleted in fines with respect to that erupted at
the vent. Given a wind profile, the model can be used to determine
the column height from the eruption mass flow rate or
vice versa. The ultimate goal is to improve ash cloud dispersal
forecasts by better constraining the ESP (column height,
eruption rate and vertical distribution of mass) and the effective
particle grain size distribution resulting from eventual
wet aggregation within the plume. As test cases we apply the
model to the eruptive phase-B of the 4 April 1982 El Chichón
volcano eruption (México) and the 6 May 2010 Eyjafjallajökull
eruption phase (Iceland). The modular structure of the
code facilitates the implementation in the future code versions
of more quantitative ash aggregation parameterization
as further observations and experiment data will be available
for better constraining ash aggregation processes.
Sponsors
This work was partially supported by the
MED-SUV Project funded by the European Union (FP7 grant agreement no. 308665).
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