Topographic Controls on Pyroclastic Density Current Hazard at Aluto Volcano (Ethiopia) Identified Using a Novel Zero‐Censored Gaussian Process Emulator

Author:

Tierz Pablo123ORCID,Spiller Elaine T.4ORCID,Clarke Ben A.25ORCID,Dessalegn Firawalin6,Bekele Yewubinesh78,Lewi Elias9ORCID,Yirgu Gezahegn10,Wolpert Robert L.11ORCID,Loughlin Susan C.1,Calder Eliza S.2

Affiliation:

1. British Geological Survey The Lyell Centre Edinburgh UK

2. School of Geosciences University of Edinburgh Edinburgh UK

3. Geociencias Barcelona (GEO3BCN), CSIC Barcelona Spain

4. Department of Mathematical and Statistical Sciences Marquette University Milwaukee WI USA

5. School of Geography, Geology and the Environment University of Leicester Leicester UK

6. College of Natural and Computational Science Wollega University Nekemte Ethiopia

7. Geo‐hazard Investigation Directorate Geological Survey of Ethiopia Addis Ababa Ethiopia

8. Institute of Geosciences University of São Paulo São Paulo Brazil

9. Institute of Geophysics, Space Science and Astronomy Addis Ababa University Addis Ababa Ethiopia

10. School of Earth Sciences Addis Ababa University Addis Ababa University Addis Ababa Ethiopia

11. Department of Statistical Science Duke University Durham NC USA

Abstract

AbstractAluto volcano (Central Ethiopia) displays a complex, hybrid topography, combining elements typical of caldera systems (e.g., a central, flat caldera floor) and stratovolcanoes (e.g., relatively high and steep, radial flanks, related to eruptions occurring clustered in space). The most recent known eruptions at Aluto have commonly generated column‐collapse pyroclastic density currents (PDCs), a hazardous phenomenon that can pose a significant risk to inhabited areas on and around the volcano. In order to analyze and quantify the role that Aluto's complex topography has on PDC hazard, we apply a versatile probabilistic strategy, which merges the TITAN2D model for PDCs with a novel zero‐censored Gaussian Process (zGP) emulator, enabling robust uncertainty quantification at tractable computational costs. Results from our analyses indicate a critical role of the eruptive vent location, but also highlight a complex interplay between the topography and PDC volume and mobility. The relative importance of each factor reciprocally depends on the other factors. Thus, large PDCs (≥0.1–0.5 km3) can diminish the influence of topography over proximal regions of flow propagation, but PDCs respond to large‐ and small‐scale topographic features over medial to distal areas, and the zGP captures processes like PDC channelization and overbanking. The novel zGP can be applied to other PDC models and can enable specific investigations of PDC dynamics, topographic interactions, and PDC hazard at many volcanic systems worldwide. Potentially, it could also be used during volcanic crises, when time constraints usually only permit computation of scenario‐based hazard assessments.

Funder

Natural Environment Research Council

Publisher

American Geophysical Union (AGU)

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