VOLCano ANalogues Search (VOLCANS) datasets used to parameterise the Aluto event tree model

Tierz, Pablo;

2020 || British Geological Survey - National Geoscience Data Centre (UKRI/NERC)

Electronic Supplementary Material: "Event trees and epistemic uncertainty in long-term volcanic hazard assessment of rift volcanoes: the example of Aluto (Central Ethiopia)", by Tierz, P., Clarke, B., Calder, E. S., Dessalegn, F., Lewi, E., Yirgu, G., Fontijn, K., Crummy, J. M., and Loughlin, S. C., submitted to Geochemistry, Geophysics, Geosystems.
The datasets contain volcanological data on analogue (i.e. similar) volcanoes of Aluto volcano (Ethiopia), including conditional probabilities of eruption size, number of eruptions with specific volcanic phenomena reported and values of volcano analogy calculated using the VOLCano ANalogues Search tool (VOLCANS, Tierz et al., 2019, https://doi.org/10.1007/s00445-019-1336-3).
These type of data can be used to parameterise event tree models (e.g. Newhall and Hoblitt, 2002, https://doi.org/10.1007/s004450100173; Marzocchi et al., 2010, https://doi.org/10.1007/s00445-010-0357-8) and, thus, quantify volcanic hazard at a particular volcano of interest, including the relevant sources of uncertainty.
The production of the datasets was supported by the UK Natural Environment Research Council project: Rift Volcanism: Past, Present and Future (RiftVolc). Grant NE/L013460/1.

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Source http://dx.doi.org/10.5285/f46c19aa-535f-4631-a032-60a2fc825a42
Source publisher British Geological Survey - National Geoscience Data Centre (UKRI/NERC)
DOI 10.5285/f46c19aa-535f-4631-a032-60a2fc825a42
Authors
  • Tierz, Pablo
  • British Geological Survey;
Contributors
  • ProjectMember
  • British Geological Survey;

  • Supervisor
  • British Geological Survey;

  • ProjectMember
  • University of Edinburgh;

  • Supervisor
  • University of Edinburgh;

  • Researcher
  • University of Leicester;
Citation Tierz, P. (2020). VOLCano ANalogues Search (VOLCANS) datasets used to parameterise the Aluto event tree model [Data set]. British Geological Survey. https://doi.org/10.5285/F46C19AA-535F-4631-A032-60A2FC825A42