EGU23-14218
https://doi.org/10.5194/egusphere-egu23-14218
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

New Insights on the seismic unrest of La Palma 2021 eruption through a purely automatic analysis

Eduardo Andrés Díaz-Suárez1, Itahiza Dominguez Cerdeña1, Carmen Del Fresno2, Antonio Villaseñor3, and Sergio Sainz-Maza Aparicio2
Eduardo Andrés Díaz-Suárez et al.
  • 1Instituto Geográfico Nacional, Santa Cruz de Tenerife, Spain (eadiaz@mitma.es)
  • 2Instituto Geográfico Nacional, Madrid, Spain
  • 3Institute of Marine Sciences (ICM), CSIC, Barcelona, Spain

We have analyzed the seismic series that preceded La Palma 2021 eruption using a purely automatic methodology based on Deep Learning. A new catalog has been retrieved, firstly 5797 absolute locations were obtained using NLLoc algorithm and considering a 3D velocity model of the island. At a further stage, these results were improved computing relative locations with HypoDD code. Our final catalog has doubled the number of events of the original manual catalog of the Instituto Geográfico Nacional. We observe new detailed features of the seismicity migration throughout the crust. We can clearly differentiate two phases within the sequence: the first one from September 11th to 16th and the second one from September 16th until the eruption onset. This differentiation can be described in terms of independent seismic parameters: inter-event time dispersion coefficient, b-value spatio-temporal distribution, hypocentral migration, magnitude distribution). Our results are in agreement with previous geodetic studies. Finally, we have developed a conceptual model describing the magmatic unrest and how the magma made its way to the surface prior to this eruption. 

How to cite: Díaz-Suárez, E. A., Dominguez Cerdeña, I., Del Fresno, C., Villaseñor, A., and Sainz-Maza Aparicio, S.: New Insights on the seismic unrest of La Palma 2021 eruption through a purely automatic analysis, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-14218, https://doi.org/10.5194/egusphere-egu23-14218, 2023.