Study of seismic signals for successful forecasting of volcanic eruptions
From 01 / 09 / 2023 to 31 / 08 / 2026
The main objective of LEARNING is to extract information from seismo-volcanic signals —both continuous and isolated— to learn how to forecast short-term volcanic eruptions in an efficient, realistic, and useful manner.
As has been shown, volcanic activity is characterized by complex nonlinear models with no analytical solution. Therefore, we will use, among other tools, SP and ML as approaches to identify hidden patterns in the data and determine the nonlinear relationships that exist between them.
From here, LEARNING will extract new knowledge in the processing of large seismic databases.
— Ángel Gerardo Alguacil de la Blanca
— Luciano Attilio María Zuccarello
— Cinthia Carolina Guerrero Reinoso
— Sonia Mota Fernández
— Joe Carthy
Responsible
Jesús Miguel Ibáñez Godoy
Goal
To learn, through seismic signal processing, which are the best characteristics for use as short-term volcanic forecasting tools.
Responsible
María del Carmen Benítez Ortúzar
Goal
To learn how to perform the completeness and improvement of seismo-volcanic catalogues using multi-station systems.
Responsible
Jesús Miguel Ibáñez Godoy
Goal
To learn to characterize pre-eruptive predictive models.
Responsibles
María del Carmen Benítez Ortúzar
Jesús Miguel Ibáñez Godoy
Goal
To understand society’s perception of the volcanic environment in which it lives.
Responsibles
María del Carmen Benítez Ortúzar
Jesús Miguel Ibáñez Godoy
Goal
To understand what’s happening in real time. Dissemination and communication.
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