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  5. BET_VH: exploring the influence of natural uncertainties on long-term hazard from tephra fallout at Campi Flegrei (Italy)
 
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BET_VH: exploring the influence of natural uncertainties on long-term hazard from tephra fallout at Campi Flegrei (Italy)

Author(s)
Selva, J.
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italia  
Costa, A.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italia  
Marzocchi, W.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma1, Roma, Italia  
Sandri, L.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italia  
Language
English
Obiettivo Specifico
4.3. TTC - Scenari di pericolosità vulcanica
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
Bull Volcanol  
Issue/vol(year)
6/72 (2010)
Publisher
Springer Berlin / Heidelberg
Pages (printed)
717-733
Date Issued
2010
DOI
10.1007/s00445-010-0358-7
URI
https://www.earth-prints.org/handle/2122/6069
Subjects
04. Solid Earth::04.08. Volcanology::04.08.08. Volcanic risk  
05. General::05.01. Computational geophysics::05.01.04. Statistical analysis  
Subjects

Volcanic hazard

Ash fall ·

Bayesian event tree

Campi Flegrei

Abstract
In this paper, we explore the effects of the
intrinsic uncertainties upon long-term volcanic hazard
by analyzing tephra fall hazard at Campi Flegrei, Italy,
using the BET_VH model described in Marzocchi et al.
(Bull Volcanol, 2010). The results obtained show that
volcanic hazard based on the weighted average of all
possible eruptive settings (i.e. size classes and vent locations)
is significantly different from an analysis based
on a single reference setting, as commonly used in
volcanic hazard practice. The long-term hazard map
for tephra fall at Campi Flegrei obtained here accounts
for a wide spectrum of uncertainties which are usually
neglected, largely reducing the bias intrinsically
introduced by the choice of a specific reference setting.
We formally develop and apply a general method to
recursively integrate simulations from different models
which have different characteristics in terms of spatial coverage, resolution and physical details. This outcome
of simulations will be eventually merged with field data
through the use of the BET_VH model.
References
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