Volcanic event characterization using seismic signals: an example from Lascar Volcano, Chile

Volcanoes present a complex system that can be studied using various geological methods. Among these methods, seismic signals play a crucial role in understanding the internal processes of the volcano, as well as the structure and dynamics of magmatic bodies and plumbing systems. Proper characterization of these signals is essential to identify different types of events and their location, and to infer their source mechanism. The temporal pattern of these events can also provide valuable information to predict future volcanic episodes. However, the task of accurately locating seismic events can be challenging due to factors such as the composition of the magma and the topography of the volcano, as well as the limited number of available monitoring stations. To address this issue, we will test two methods identify seismic events, using data from Lascar, a stratovolcano located in northern Chile. The 8E network installed around the volcano's flanks during 2014-2015 provided us with waveform data from six broad-band stations, which we will use to identify events using the STA/LTA method, we then calculate nine parameters based on Kettner & Power (2013) to classify them into different event types. We will then apply a grid search method by Gottschämmer & Surono (2000) to locate high-frequency events and compare our results with those of Gaete et al. (2019). Our outcome includes a high-resolution catalog of events, their classification into LP, VT, Hybrid, and Explosive types, and the locations of high-frequency events. Additionally we provide all the python code written for this study for both reproducibility and future application to other data sets. The information obtained from this study will provide a deeper understanding of the dynamics of Lascar volcano, which can also be applied to other volcanoes to reduce the risk of volcanic unrest for nearby cities.

• Yazar: Monar Lucero, Jhuliana Geraldinne (author)
• Materyal Türü: bachelorThesis
• Dil: eng
• Baskı/Yayın Bilgisi: 2023
• Konular: Estaciones de monitoreo; Eventos sísmicos; Catálogo de eventos; Monitoring network; Seismic events; Event catalog
• Online Erişim: http://repositorio.yachaytech.edu.ec/handle/123456789/636