2022
DOI: 10.5194/nhess-22-3329-2022
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Assessing minimum pyroclastic density current mass to impact critical infrastructures: example from Aso caldera (Japan)

Abstract: Abstract. We describe a method for calculating the probability that a distal geographic location is impacted by a pyroclastic density current (PDC) of a given size, considering the key related uncertainties. Specifically, we evaluate the minimum volume and mass of a PDC generated at the Aso caldera (Japan) that might affect each of five distal infrastructure (marker) sites, with model input parameter uncertainties derived from expert judgment. The 5 marker sites are all located 115–145 km from the caldera; as … Show more

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Cited by 5 publications
(1 citation statement)
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References 121 publications
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“…For the construction of PDC hazard maps, we used the computer programs ECMapProb 2.0 and BoxMapProb 2.0 (Aravena et al 2020. The first model is based on the energy cone assumption (Malin & Sheridan, 1982;Sheridan & Malin, 1983;Wadge & Isaacs, 1988) and suits better to describe gravitational flows; the second follows instead the box model integral formulation (Bevilacqua et al 2022;Esposti Ongaro et al 2016;Huppert & Simpson, 1980;Tadini et al 2021) and allows describing inertial flows. Both models rely on a tree-branching approach to enhance the channelization features of the models (Aravena et al 2020), and have been already applied for the construction of PDC hazard maps (e.g.…”
Section: The Modelsmentioning
confidence: 99%
“…For the construction of PDC hazard maps, we used the computer programs ECMapProb 2.0 and BoxMapProb 2.0 (Aravena et al 2020. The first model is based on the energy cone assumption (Malin & Sheridan, 1982;Sheridan & Malin, 1983;Wadge & Isaacs, 1988) and suits better to describe gravitational flows; the second follows instead the box model integral formulation (Bevilacqua et al 2022;Esposti Ongaro et al 2016;Huppert & Simpson, 1980;Tadini et al 2021) and allows describing inertial flows. Both models rely on a tree-branching approach to enhance the channelization features of the models (Aravena et al 2020), and have been already applied for the construction of PDC hazard maps (e.g.…”
Section: The Modelsmentioning
confidence: 99%