A multiparametric and unsupervised-learning approach to characterize seismic and deformation variability during Villarrica’s eruptive cycle (2018–2019)

Constanza Santori; Bertrand Potin; Sergio Ruiz; Diego González-Vidal

doi:https://doi.org/10.5194/egusphere-egu26-886

[Back] [Session GMPV11.4]

EGU26-886, updated on 13 Mar 2026

https://doi.org/10.5194/egusphere-egu26-886

EGU General Assembly 2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

A multiparametric and unsupervised-learning approach to characterize seismic and deformation variability during Villarrica’s eruptive cycle (2018–2019)

Constanza Santori¹, Bertrand Potin^1,2, Sergio Ruiz¹, and Diego González-Vidal³

Constanza Santori et al.

¹Universidad de Chile, Facultad de Ciencias Físicas y Matemáticas, Departamento de Geofísica, Chile (conisantori@gmail.com)
²Programa Riesgo Sísmico. Facultad de Ciencias Físicas y Matemáticas. Universidad de Chile, Chile
³Departamento de Geofísica, Universidad de Concepción, Chile

How to cite: Santori, C., Potin, B., Ruiz, S., and González-Vidal, D.: A multiparametric and unsupervised-learning approach to characterize seismic and deformation variability during Villarrica’s eruptive cycle (2018–2019), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-886, https://doi.org/10.5194/egusphere-egu26-886, 2026.

This abstract has been withdrawn on 11 Aug 2026.