Evaluación y comparación de algoritmos para la detección automática de ondas sísmicas

Abstract

particular, the seismic activity in Ecuador is high, given that it is located along the zone named the Pacific Belt of Fire. Following this purpose, this work presents a solution in order to compare algorithms for detecting seismic events. This comparison was performed both in relation to the functionality and the configuration of the parameters required for each algorithm. This solution was implemented on an SBC platform (Single Board Computer) for the purpose of obtaining a portable, economical and low-cost computational tool. The methods compared were: Classic STA/LTA, Recursive STA/LTA, Delayed STA/LTA, Z-detector, Baer-and Kradolfer-picker and AR-AIC (Autoregressive-Akaike-Information- Criterion-picker). For the evaluation and comparison, multiple experiments were carried out using real data provided by the Regional Seismological Network (RSA, Red Sísmica del Austro). In particular, such registers were used as the input source to the seismic algorithms. Results reveal, the algorithm with the best performance was the Classic STA/LTA, since of the total number of real events (58), only one event was not detected. In addition, 6 false events were obtained, achieving 90% of effectiveness. Finally, for the real-time implementation, the Classic STA / LTA algorithm is used on an SBC (Single Board Computer) platform. The software developed for algorithm comparison and real-time detection has been released for free usage which represents another contribution of this work in the context of seismic analysis.