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As far as we know, the authors consider this article to be innovative.Unlike other similar and more complex tools and systems, it presents a novel approach, especially for learning applications in the effective and simple use of metrics and methods in the field of volcanic seismicity.Our proposal has four main benefits.* First, we present a secure and scalable software architecture, developed in an opensource language like Python, which can be implemented in real time to handle large volumes of seismic data.This allows providing useful information to the user to improve the classification process of seismo-volcanic signals, which is useful for the future creation of efficient early warning models.* Second, the learning curve and use of software tools by users is quick, in a friendly and visual environment that does not require the user to have prior extensive programming knowledge.This focuses the research work on the actual analysis of the signals, achieving optimal performance in the analysis of seismo-volcanic processes.* Third, this work utilizes metrics and methods that have proven to be very effective parameters for quantifying the eruptive state of a volcano.By implementing these metrics from different perspectives, their defining values can be adjusted, allowing for validation during the analysis process of eruptive episodes.* Fourth, this set of tools meets the basic needs of observatories and seismological research centers that require user-friendly and easy-to-use tools to provide reliable real-time conclusions about the processes and analysis of seismo-volcanic signals.In fact, we believe that the computing architecture developed in this study and the associated results will have a high social impact.All these benefits have a direct application in the field of computer analysis and processing of seismo-volcanic signals, in line with the spirit of your journal.
Gutiérrez et al. (Wed,) studied this question.