msahamed / machine_learning_earthquakes-nuclear-explosion Goto Github PK

In this project, I develop machine learning models to seperate earthquake signals from nuclear explosions. Both earthquakes and nuclear explosions generate seismic waves that can be detected thousands of kilometers away. However, it is not always an easy task to separate them from each other. Although seismologists have developed methods, it is sometimes very challenging. For example, a recent 3.4 magnitude quake from North Korea was interpreted as 'suspected explosion' but later identified as natural. More details can be found here : http://www.independent.ie/world-news/asia-pacific/small-north-korea-earthquake-likely-natural-not-caused-by-nuclear-test-say-experts-36161584.html

The primary objective is to develop machine learning models to separate natural earthquakes from nuclear explosions.

For anything about the implementations, please feel free to write me an email :

Sabber Ahamed [email protected] Center For Earthquake Research and Information (CERI) The University of Memphis 3890 Central Ave Memphis, TN 38152, USA