Synthetic benchmarking of concentrated pyroclastic current models
Author:
Funder
National Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Geochemistry and Petrology
Link
https://link.springer.com/content/pdf/10.1007/s00445-021-01491-y.pdf
Reference149 articles.
1. Andrews BJ (2014) Dispersal and air entrainment in unconfined dilute pyroclastic density currents. Bull Volcanol 76:852. https://doi.org/10.1007/s00445-014-0852-4
2. Andrews BJ, Manga M (2011) Effects of topography on pyroclastic density current runout and formation of coignimbrites. Geology 39:1099–1102. https://doi.org/10.1130/G32226.1
3. Andrews BJ, Manga M (2012) Experimental study of turbulence, sedimentation, and coignimbrite mass partitioning in dilute pyroclastic density currents. J Volcanol Geotherm Res 225–226:30–44. https://doi.org/10.1016/j.jvolgeores.2012.02.011
4. Aravena A, Cioni R, Bevilacqua A, Michieli Vitturi M, Esposti Ongaro T, Neri A (2020) Tree-branching-based enhancement of kinetic energy models for reproducing channelization processes of pyroclastic density currents. J Geophys Res Solid Earth 125:1–20. https://doi.org/10.1029/2019JB019271
5. Albino F, Biggs J, Escobar-Wolf R, Naismith A, Watson M, Phillips JC, Chigna Marroquin GA (2020) Using TanDEM-X to measure pyroclastic flow source location, thickness and volume: Application to the 3rd June 2018 eruption of Fuego volcano, Guatemala. J Volcanol Geotherm Res 406:107063. https://doi.org/10.1016/j.jvolgeores.2020.107063
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