Congress
Authorship
Badi, Gabriela Alejandra
;
CASAS, JOSÉ AUGUSTO
;
Olivera Craig, V.H.
;
Preatoni, Victor
;
M. C. Manassero
Date
2022
Publishing House and Editing Place
LACSC
Summary
Information provided by the agent in
SIGEVA
After several years of research and activity planification, the Argentine Observatory of Volcanic Surveillance (OAVV) became operational in 2017. The OAVV is a specialized area within the Argentine Geological and Mining Survey (SEGEMAR) whose purpose is to monitor and assess volcanic activity that may affect Argentinian territory protect its population and infrastructure. The OAVV-SEGEMAR has been key in the information flow management both within SEGEMAR and with other scientific-technical ins...
After several years of research and activity planification, the Argentine Observatory of Volcanic Surveillance (OAVV) became operational in 2017. The OAVV is a specialized area within the Argentine Geological and Mining Survey (SEGEMAR) whose purpose is to monitor and assess volcanic activity that may affect Argentinian territory protect its population and infrastructure. The OAVV-SEGEMAR has been key in the information flow management both within SEGEMAR and with other scientific-technical institutions and universities in Argentina, providing relevant information to governmental authorities within the framework of the Sistema Nacional para la Gestión Integral del Riesgo (SINAGIR, Law 27.287). This administration strengthened cooperation with other observatories and abroad institutions. For instance, agreements with SERNAGEOMIN (Chile) led to binational volcanic monitoring networks, the exchange of information, and the coordination of volcanic alerts for volcanoes placed along the international border. The goal of this talk is to present recent advances in seismo-volcanic monitoring in Argentina, based on the deployment and maintenance of multi-parametric volcano monitoring networks in Argentina and the implementation of seismic monitoring techniques at the OAVV-SEGEMAR. To date, the OAVV-SEGEMAR has deployed monitoring networks on the Planchón Peteroa and the Laguna del Maule Volcanic Complexes, as well as the Copahue and Lanín volcanoes. In the coming years, monitoring networks are expected to be deployed on Tromen, Domuyo, Tupungatito, San Jose, and Maipo Volcanoes and Deception Island, Antarctica. Moreover, we expect to extend pre-existing monitoring networks while incorporating other active volcanoes located in the most hazardous areas in Argentina according to the volcanic hazard-and-risk ranking for our country (Elissondo et al., 2016). At the OAVV-SEGEMAR, seismovolcanic monitoring is carried out using open-source codes, free software packages, and codes obtained by collaboration. Using these tools, we characterize the recorded seismic signals in time and frequency through identification, classification, and preliminary location of events in an interactive way. Today, this work is also performed automatically through the implementation of Earthworm (USGS) rings and packages such as Lakiy (Colombian Geological Survey; Cadena Ibarra, 2011), Retreat (Smith and Bean, 2018), and deep-learning methodologies. Provided the complex and diverse physical processes interacting in volcanic systems, only a multidisciplinary interpretation leads to proper identification of seismic precursors and, consequently, to efficient development of volcanic alerts. Therefore, our main goal is to improve multiparametric analyses and interpretation in near real- time. An accurate understanding of the analyzed parameters is obtained by estimating the source and path effects on the seismic signals as well as deepening the understanding on the physical conditions that characterize the volcanic subsurface systems. Therefore, by collaboration with specialized institutions, we are working on the application of several methodologies for site-effect determination, estimation of intrinsic seismic attenuation and scattering, computing source mechanisms of volcano-tectonic events through full-waveform inversion, imaging the subsurface through ambient-noise tomography, and studying the evolution of the volcanic systems through seismic- interferometry applications.
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Key Words
SEISMIC DATAMONITORINGARGENTINA