STA/LTA trigger algorithm implementation on a seismological dataset using Hadoop MapReduce

Youness Choubik (Mohammed V University)
Abdelhak Mahmoudi (Mohammed V University Rabat)
Mohammed Majid Himmi (Mohammed V University Rabat)
Lahcen El Moudnib (Mohammed V University Rabat)

IAES International Journal of Artificial Intelligence (IJ-AI)
Vol 9, No 2: June 2020

In this work we implemented STA/LTA trigger algorithm, which is widely used in seismic detection, using Hadoop MapReduce. Thisimplementation allows to find out how effective it is in this type of tasks as well as to accelerate the detection process by reducing the processing time. We tested our implementation on a seismological dataset of 14 broadband seismic stations and compare it with the traditional one. The results show that MapReduce decreased the processing time by 34% compared to the traditional implementation.