Characterization and classification of seismic clusters in Chile

This dissertation presents a comprehensive study on the characterization and classification of seismic clusters in Chile, focusing on their spatial and temporal patterns. By employing advanced clustering algorithms and statistical analysis, the research identifies distinct types of seismic clusters, including mainshock-aftershock sequences, seismic swarms, and persistent clusters. These clusters are analyzed in terms of their occurrence, distribution, and the physical processes controlling them. The study reveals that different types of clusters are associated with various tectonic settings and fault structures, highlighting the complexity of seismic activity in Chile. One of the major findings is the identification of key factors influencing the formation and behavior of seismic clusters, such as fault heterogeneity, fluid movements, and stress interactions. The research also addresses the uncertainties involved in the classification and characterization of these clusters, stemming from data limitations, methodological challenges, and the intrinsic geological complexity of the region. By improving the understanding of these uncertainties, the study provides a more accurate framework for interpreting seismicity patterns. This dissertation contributes to the broader understanding of earthquake dynamics, offering valuable insights for the scientific community. The findings emphasize the need for continuous advancements in seismic monitoring, data processing techniques, and interdisciplinary approaches to better understand and manage seismic hazards in tectonically active regions like Chile.