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  5. A novel strategy to enhance kinetic energy models by considering channelization processes of PDCs
 
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A novel strategy to enhance kinetic energy models by considering channelization processes of PDCs

Author(s)
Aravena, Álvaro  
Cioni, Raffaello  
Bevilacqua, Andrea  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Pisa, Pisa, Italia  
de' Michieli Vitturi, Mattia  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Pisa, Pisa, Italia  
Esposti Ongaro, Tomaso  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Pisa, Pisa, Italia  
Neri, Augusto  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Pisa, Pisa, Italia  
Type
Conference paper
Language
English
Obiettivo Specifico
5V. Processi eruttivi e post-eruttivi
Status
Published
Journal
Conferenza A. Rittmann  
Date Issued
2020
Conference Location
Catania
Publisher
MISCELLANEA INGV 52, ISSN 2039-6651
URI
https://www.earth-prints.org/handle/2122/13864
Subjects

pyroclastic density c...

box model

Abstract
Kinetic energy models are tools able to provide an estimate to the inundation area of pyroclastic density currents (PDCs). We present here a novel strategy that allows improving these models in order to consider the occurrence of channelization processes of pyroclastic material. In this strategy, the inundation area associated with a basal collapse process, represented by a root conoid that interacts with the topography, is complemented with the inundation zones derived from the inclusion of secondary source points located in the expected zones of pyroclast channelization (represented by branch conoids). For that, we adopt a tree branch-like structure and appropriate assumptions for setting the position and the initial characteristics of the secondary source points. Two widely used kinetic models are modified by applying this strategy: the energy cone and the box model, giving place to two open-source and freely downloadable codes (ECMapProb and BoxMapProb). We tested these branching formulations by comparing their results with those derived from the traditional formulations of these kinetic energy models, with other numerical solvers, and with the invasion area of real PDC deposits. We show the capability of the presented strategy of improving the accuracy of kinetic models without adding new, unconstrained input parameters or significantly increasing the computational cost, allowing the assessment of volcanic hazards using a probabilistic approach. The application of this strategy represents a time-effective alternative to the use of more sophisticated models for describing PDC transport and deposition.
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