Abstract

AbstractAluto is a peralkaline rhyolitic caldera located in a highly populated area in central Ethiopia. Its postcaldera eruptive activity has mainly consisted of self‐similar, pumice‐cone‐building eruptions of varying size and vent location. These eruptions are explosive, generating hazardous phenomena that could impact proximal to distal areas from the vent. Volcanic hazard assessments in Ethiopia and the East African Rift are still limited in number. In this study, we develop an event tree model for Aluto volcano. The event tree is doubly useful: It facilitates the design of a conceptual model for the volcano and provides a framework to quantify volcanic hazard. We combine volcanological data from past and recent research at Aluto, and from a tool to objectively derive analog volcanoes (VOLCANS), to parameterize the event tree, including estimates of the substantial epistemic uncertainty. Results indicate that the probability of a silicic eruption in the next 50 years is highly uncertain, ranging from 2% to 35%. This epistemic uncertainty has a critical influence on event‐tree estimates for other volcanic events, like the probability of occurrence of pyroclastic density currents (PDCs) in the next 50 years. The 90% credible interval for the latter is 5–16%, considering only the epistemic uncertainty in conditional eruption size and PDC occurrence, but 2–23% when adding the epistemic uncertainty in the probability of eruption in 50 years. Despite some anticipated challenges, we envisage that our event tree could be translated to other rift volcanoes, making it an important tool to quantify volcanic hazard in Ethiopia and elsewhere.

Highlights

  • Active volcanoes have the potential to cause extreme losses in terms of fatalities and casualties, damage to property and critical infrastructure, and due to disruption of transport and supply chains (e.g. Blong, 1984; Horwell and Baxter, 2006; Wilson et al, 2012; Auker et al., 2013; Loughlin et al, 2015; Brown et al, 2017; Newhall et al, 2018)

  • This provides us with a 510 representation of epistemic uncertainty for Node 5 (Uniform probability density functions (PDFs) covering the range of conditional probabilities, Fig. 4c-d) which we explore by sampling the Uniform PDF and 512 propagate through the other nodes of the event tree

  • We focus on the marginal probability of pyroclastic density currents (PDCs) in the 50 yr, P(PDC; 50 yr), and explore the PDFs obtained when taking into account the epistemic uncertainty in different nodes of the event tree model for Aluto volcano

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Summary

Key Points:

The first published event tree model to quantify volcanic hazard at an African volcano is presented for Aluto (Ethiopia). The impact of epistemic uncertainty is explored by merging diverse datasets, from field data to expert elicitation and global databases manuscript submitted to Geochemistry, Geophysics, Geosystems

Introduction
Regional geological context
Previous and contemporary research at Aluto
Aluto event tree: using volcanological knowledge to quantify volcanic hazard
Node 1
Node 2
Node 3
Node 4
Node 5
Node 6
Event tree results
Occurrence of silicic eruptions
Size of silicic eruptions
Occurrence of pyroclastic density currents
Probabilistic volcanic hazard assessment at Aluto
Portability of event trees across the Main Ethiopian Rift
Bimodal magmatism
Phreatic and phreatomagmatic explosive activity
Eruption size and scenarios
Findings
Conclusions
References from Supporting Information
Full Text
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